Life @ U of T

Life @ U of T

My Experience Writing an Undergraduate Thesis

This year, I’ve been working on a really exciting project… my undergraduate thesis! It's my fourth year of university, and I decided to write an undergraduate thesis in Political Science under the supervision of a professor. This week, I wanted to write about why I decided to take a thesis, how I enrolled, and how it’s been going so far! 

What is an undergraduate thesis?

An undergraduate thesis is usually a 40-60 page paper written under the supervision of a professor, allowing you to explore a topic of your interest in-depth. I primarily decided to write an undergraduate thesis to prepare me for graduate school - it's allowed me to get started on work I might continue in graduate school, hone my research skills, and test out whether academic research is for me.

How do I write an undergraduate thesis?

To write my undergraduate thesis, I had two options (this may vary depending on what department you're in!). First, I could join the Senior Thesis Seminar offered by department. These seminars group students together who are interested in doing a thesis and teach them research skills and background information. Students then simultaneously complete a thesis under the supervision of a professor. Senior Thesis Seminars often require applications to register in, so if you’re interested in this option, make sure you look into this in your third year of study!

Because I already had a close working relationship with a professor, I opted to instead do the second option, an Independent Study. An Independent Study allows you to work one-on-one with a professor and design whatever course you’re interested in. For either option, you’ll need to know what topic you're interested in writing your thesis on and ask a professor to work with you, so make sure you've figured this out. 

How's it going?

So far, I’m about half-way through my thesis and I’m having lots of fun. It’s a great way to get super involved in a topic I care about, and it's preparing me for graduate research much more than any course I’ve taken in my undergraduate degree. I’ve also been enjoying working one-on-one with a professor and learning a lot from them about the field of study I’m interested in, what being an academic researcher is like, and what my position in the field is. 

I will say that an undergraduate thesis is a considerable amount of work! It definitely requires more work than all my other classes, and because I’m working so closely with a professor, there’s no way I can slack on it or procrastinate.

Still, if you’re interested in a topic and want to pursue it after your undergraduate studies, I think writing an undergraduate thesis is an incredible opportunity. If you have any questions, feel free to ask in the comments below!

1 comment on “ My Experience Writing an Undergraduate Thesis ”

Is an undergrad thesis mandatory in order to graduate or to get into a Masters program? Also, I’ve heard most Profs only help those with really high grades for their thesis?

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How to write an undergraduate university dissertation

Writing a dissertation is a daunting task, but these tips will help you prepare for all the common challenges students face before deadline day.

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Grace McCabe

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Writing a dissertation is one of the most challenging aspects of university. However, it is the chance for students to demonstrate what they have learned during their degree and to explore a topic in depth.

In this article, we look at 10 top tips for writing a successful dissertation and break down how to write each section of a dissertation in detail.

10 tips for writing an undergraduate dissertation

1. Select an engaging topic Choose a subject that aligns with your interests and allows you to showcase the skills and knowledge you have acquired through your degree.

2. Research your supervisor Undergraduate students will often be assigned a supervisor based on their research specialisms. Do some research on your supervisor and make sure that they align with your dissertation goals.

3. Understand the dissertation structure Familiarise yourself with the structure (introduction, review of existing research, methodology, findings, results and conclusion). This will vary based on your subject.

4. Write a schedule As soon as you have finalised your topic and looked over the deadline, create a rough plan of how much work you have to do and create mini-deadlines along the way to make sure don’t find yourself having to write your entire dissertation in the final few weeks.

5. Determine requirements Ensure that you know which format your dissertation should be presented in. Check the word count and the referencing style.

6. Organise references from the beginning Maintain an alphabetically arranged reference list or bibliography in the designated style as you do your reading. This will make it a lot easier to finalise your references at the end.

7. Create a detailed plan Once you have done your initial research and have an idea of the shape your dissertation will take, write a detailed essay plan outlining your research questions, SMART objectives and dissertation structure.

8. Keep a dissertation journal Track your progress, record your research and your reading, and document challenges. This will be helpful as you discuss your work with your supervisor and organise your notes.

9. Schedule regular check-ins with your supervisor Make sure you stay in touch with your supervisor throughout the process, scheduling regular meetings and keeping good notes so you can update them on your progress.

10. Employ effective proofreading techniques Ask friends and family to help you proofread your work or use different fonts to help make the text look different. This will help you check for missing sections, grammatical mistakes and typos.

What is a dissertation?

A dissertation is a long piece of academic writing or a research project that you have to write as part of your undergraduate university degree.

It’s usually a long essay in which you explore your chosen topic, present your ideas and show that you understand and can apply what you’ve learned during your studies. Informally, the terms “dissertation” and “thesis” are often used interchangeably.

How do I select a dissertation topic?

First, choose a topic that you find interesting. You will be working on your dissertation for several months, so finding a research topic that you are passionate about and that demonstrates your strength in your subject is best. You want your topic to show all the skills you have developed during your degree. It would be a bonus if you can link your work to your chosen career path, but it’s not necessary.

Second, begin by exploring relevant literature in your field, including academic journals, books and articles. This will help you identify gaps in existing knowledge and areas that may need further exploration. You may not be able to think of a truly original piece of research, but it’s always good to know what has already been written about your chosen topic.

Consider the practical aspects of your chosen topic, ensuring that it is possible within the time frame and available resources. Assess the availability of data, research materials and the overall practicality of conducting the research.

When picking a dissertation topic, you also want to try to choose something that adds new ideas or perspectives to what’s already known in your field. As you narrow your focus, remember that a more targeted approach usually leads to a dissertation that’s easier to manage and has a bigger impact. Be ready to change your plans based on feedback and new information you discover during your research.

How to work with your dissertation supervisor?

Your supervisor is there to provide guidance on your chosen topic, direct your research efforts, and offer assistance and suggestions when you have queries. It’s crucial to establish a comfortable and open line of communication with them throughout the process. Their knowledge can greatly benefit your work. Keep them informed about your progress, seek their advice, and don’t hesitate to ask questions.

1. Keep them updated Regularly tell your supervisor how your work is going and if you’re having any problems. You can do this through emails, meetings or progress reports.

2. Plan meetings Schedule regular meetings with your supervisor. These can be in person or online. These are your time to discuss your progress and ask for help.

3. Share your writing Give your supervisor parts of your writing or an outline. This helps them see what you’re thinking so they can advise you on how to develop it.

5. Ask specific questions When you need help, ask specific questions instead of general ones. This makes it easier for your supervisor to help you.

6. Listen to feedback Be open to what your supervisor says. If they suggest changes, try to make them. It makes your dissertation better and shows you can work together.

7. Talk about problems If something is hard or you’re worried, talk to your supervisor about it. They can give you advice or tell you where to find help.

8. Take charge Be responsible for your work. Let your supervisor know if your plans change, and don’t wait if you need help urgently.

Remember, talking openly with your supervisor helps you both understand each other better, improves your dissertation and ensures that you get the support you need.

How to write a successful research piece at university How to choose a topic for your dissertation Tips for writing a convincing thesis

How do I plan my dissertation?

It’s important to start with a detailed plan that will serve as your road map throughout the entire process of writing your dissertation. As Jumana Labib, a master’s student at the University of Manchester  studying digital media, culture and society, suggests: “Pace yourself – definitely don’t leave the entire thing for the last few days or weeks.”

Decide what your research question or questions will be for your chosen topic.

Break that down into smaller SMART (specific, measurable, achievable, relevant and time-bound) objectives.

Speak to your supervisor about any overlooked areas.

Create a breakdown of chapters using the structure listed below (for example, a methodology chapter).

Define objectives, key points and evidence for each chapter.

Define your research approach (qualitative, quantitative or mixed methods).

Outline your research methods and analysis techniques.

Develop a timeline with regular moments for review and feedback.

Allocate time for revision, editing and breaks.

Consider any ethical considerations related to your research.

Stay organised and add to your references and bibliography throughout the process.

Remain flexible to possible reviews or changes as you go along.

A well thought-out plan not only makes the writing process more manageable but also increases the likelihood of producing a high-quality piece of research.

How to structure a dissertation?

The structure can depend on your field of study, but this is a rough outline for science and social science dissertations:

Introduce your topic.

Complete a source or literature review.

Describe your research methodology (including the methods for gathering and filtering information, analysis techniques, materials, tools or resources used, limitations of your method, and any considerations of reliability).

Summarise your findings.

Discuss the results and what they mean.

Conclude your point and explain how your work contributes to your field.

On the other hand, humanities and arts dissertations often take the form of an extended essay. This involves constructing an argument or exploring a particular theory or analysis through the analysis of primary and secondary sources. Your essay will be structured through chapters arranged around themes or case studies.

All dissertations include a title page, an abstract and a reference list. Some may also need a table of contents at the beginning. Always check with your university department for its dissertation guidelines, and check with your supervisor as you begin to plan your structure to ensure that you have the right layout.

How long is an undergraduate dissertation?

The length of an undergraduate dissertation can vary depending on the specific guidelines provided by your university and your subject department. However, in many cases, undergraduate dissertations are typically about 8,000 to 12,000 words in length.

“Eat away at it; try to write for at least 30 minutes every day, even if it feels relatively unproductive to you in the moment,” Jumana advises.

How do I add references to my dissertation?

References are the section of your dissertation where you acknowledge the sources you have quoted or referred to in your writing. It’s a way of supporting your ideas, evidencing what research you have used and avoiding plagiarism (claiming someone else’s work as your own), and giving credit to the original authors.

Referencing typically includes in-text citations and a reference list or bibliography with full source details. Different referencing styles exist, such as Harvard, APA and MLA, each favoured in specific fields. Your university will tell you the preferred style.

Using tools and guides provided by universities can make the referencing process more manageable, but be sure they are approved by your university before using any.

How do I write a bibliography or list my references for my dissertation?

The requirement of a bibliography depends on the style of referencing you need to use. Styles such as OSCOLA or Chicago may not require a separate bibliography. In these styles, full source information is often incorporated into footnotes throughout the piece, doing away with the need for a separate bibliography section.

Typically, reference lists or bibliographies are organised alphabetically based on the author’s last name. They usually include essential details about each source, providing a quick overview for readers who want more information. Some styles ask that you include references that you didn’t use in your final piece as they were still a part of the overall research.

It is important to maintain this list as soon as you start your research. As you complete your research, you can add more sources to your bibliography to ensure that you have a comprehensive list throughout the dissertation process.

How to proofread an undergraduate dissertation?

Throughout your dissertation writing, attention to detail will be your greatest asset. The best way to avoid making mistakes is to continuously proofread and edit your work.

Proofreading is a great way to catch any missing sections, grammatical errors or typos. There are many tips to help you proofread:

Ask someone to read your piece and highlight any mistakes they find.

Change the font so you notice any mistakes.

Format your piece as you go, headings and sections will make it easier to spot any problems.

Separate editing and proofreading. Editing is your chance to rewrite sections, add more detail or change any points. Proofreading should be where you get into the final touches, really polish what you have and make sure it’s ready to be submitted.

Stick to your citation style and make sure every resource listed in your dissertation is cited in the reference list or bibliography.

How to write a conclusion for my dissertation?

Writing a dissertation conclusion is your chance to leave the reader impressed by your work.

Start by summarising your findings, highlighting your key points and the outcome of your research. Refer back to the original research question or hypotheses to provide context to your conclusion.

You can then delve into whether you achieved the goals you set at the beginning and reflect on whether your research addressed the topic as expected. Make sure you link your findings to existing literature or sources you have included throughout your work and how your own research could contribute to your field.

Be honest about any limitations or issues you faced during your research and consider any questions that went unanswered that you would consider in the future. Make sure that your conclusion is clear and concise, and sum up the overall impact and importance of your work.

Remember, keep the tone confident and authoritative, avoiding the introduction of new information. This should simply be a summary of everything you have already said throughout the dissertation.

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While Sandel argues that pursuing perfection through genetic engineering would decrease our sense of humility, he claims that the sense of solidarity we would lose is also important.

This thesis summarizes several points in Sandel’s argument, but it does not make a claim about how we should understand his argument. A reader who read Sandel’s argument would not also need to read an essay based on this descriptive thesis.  

Broad thesis (arguable, but difficult to support with evidence) 

Michael Sandel’s arguments about genetic engineering do not take into consideration all the relevant issues.

This is an arguable claim because it would be possible to argue against it by saying that Michael Sandel’s arguments do take all of the relevant issues into consideration. But the claim is too broad. Because the thesis does not specify which “issues” it is focused on—or why it matters if they are considered—readers won’t know what the rest of the essay will argue, and the writer won’t know what to focus on. If there is a particular issue that Sandel does not address, then a more specific version of the thesis would include that issue—hand an explanation of why it is important.  

Arguable thesis with analytical claim 

While Sandel argues persuasively that our instinct to “remake” (54) ourselves into something ever more perfect is a problem, his belief that we can always draw a line between what is medically necessary and what makes us simply “better than well” (51) is less convincing.

This is an arguable analytical claim. To argue for this claim, the essay writer will need to show how evidence from the article itself points to this interpretation. It’s also a reasonable scope for a thesis because it can be supported with evidence available in the text and is neither too broad nor too narrow.  

Arguable thesis with normative claim 

Given Sandel’s argument against genetic enhancement, we should not allow parents to decide on using Human Growth Hormone for their children.

This thesis tells us what we should do about a particular issue discussed in Sandel’s article, but it does not tell us how we should understand Sandel’s argument.  

Questions to ask about your thesis 

  • Is the thesis truly arguable? Does it speak to a genuine dilemma in the source, or would most readers automatically agree with it?  
  • Is the thesis too obvious? Again, would most or all readers agree with it without needing to see your argument?  
  • Is the thesis complex enough to require a whole essay's worth of argument?  
  • Is the thesis supportable with evidence from the text rather than with generalizations or outside research?  
  • Would anyone want to read a paper in which this thesis was developed? That is, can you explain what this paper is adding to our understanding of a problem, question, or topic?
  • picture_as_pdf Thesis

Exploring: How Long is an Undergraduate Thesis?

Have you ever wondered how long an undergraduate thesis is? In this article, we will unravel the mystery and shed light on the typical length of an undergraduate thesis. Let’s dive in!

An undergraduate thesis is typically between 10 and 20 double-spaced pages, excluding tables, figures, and references.

  • It follows the format of a scientific article , including sections such as abstract, introduction, methods, results, discussion, references, and tables/figures.
  • The thesis should fully develop ideas , present data , and discuss the implications of the work.
  • Master’s theses are longer, ranging from 60 to 100 pages, while doctoral dissertations can be at least 90 pages and upwards of 200 pages.
  • The length of the thesis or dissertation can depend on various factors, including the faculty’s instructions , the topic’s technicalities, and the extent of research conducted .
  • Adhering to the guidelines provided by the university and the professor supervising the project is crucial.

Understanding the Average Length of an Undergraduate Thesis

The average length of an undergraduate thesis can vary, but typically falls between 10 and 20 double-spaced pages, excluding tables, figures, and references. It is important to note that this range serves as a general guideline and may vary depending on the specific requirements of the university or department. However, adhering to this recommended length ensures that the thesis is comprehensive enough to fulfill its objectives while still maintaining a concise and focused approach.

An undergraduate thesis is a research paper that follows the format of a scientific article . It consists of various sections, including an abstract, introduction, methods, results, discussion, references, and tables/figures. Each section plays a vital role in presenting the research study in a structured and coherent manner.

To fully develop ideas and present data effectively, it is crucial to devote sufficient space within the thesis. The length should allow for a detailed exploration of the topic, a comprehensive analysis of the research methodology employed, and a thorough discussion of the findings. Additionally, the implications of the work should be discussed to demonstrate its significance and potential impact on the field of study.

While undergraduate theses are typically shorter in length than master’s theses and doctoral dissertations, it is important to note the distinctions between them. Master’s theses can range from 60 to 100 pages, providing more room for in-depth research and analysis. On the other hand, doctoral dissertations can span at least 90 pages, and in some cases, exceed 200 pages, as they require a more extensive exploration of the topic.

Factors Influencing Thesis Length

The length of an undergraduate thesis can be influenced by various factors. Firstly, the faculty’s instructions play a significant role in determining the expected page count. Therefore, it is essential to carefully review the guidelines provided and understand the specific requirements set by the university or department.

Secondly, the technicalities of the topic being researched can impact the length of the thesis. Some subjects may necessitate a more extensive discussion and analysis, resulting in a longer document. Conversely, less complex topics may require a more concise presentation.

Lastly, the extent of research conducted can also influence the length of the undergraduate thesis. In-depth studies that involve extensive data collection, experimentation, or fieldwork may require a more substantial presentation of findings, leading to a longer thesis.

In summary, the average length of an undergraduate thesis typically falls between 10 and 20 double-spaced pages, excluding tables, figures, and references. The thesis should follow the format of a scientific article and fully develop ideas , present data , and discuss the implications of the work. The length of the thesis can vary depending on the faculty’s instructions , the technicalities of the topic, and the extent of research conducted . Adhering to the guidelines provided by the university and the professor supervising the project is crucial to ensure the successful completion of the undergraduate thesis.

Following the Format of a Scientific Article

Much like a scientific article, an undergraduate thesis consists of various sections, such as an abstract, introduction, methods, results, discussion, references, and tables/figures. Each section serves a specific purpose in presenting the research and its findings. The following table provides an overview of the sections typically included in an undergraduate thesis:

These sections work together to provide a comprehensive and organized framework for the research. It is essential to adhere to the guidelines and formatting requirements provided by the university and the professor supervising the project . Following the format of a scientific article ensures that the thesis is well-structured and effectively communicates the research process and outcomes.

Fully Developing Ideas and Presenting Data

A crucial aspect of an undergraduate thesis is the ability to fully develop ideas and present data in a clear and concise manner. This requires thoughtful analysis, effective organization, and meticulous attention to detail. By fully developing ideas, students can showcase their understanding of the research topic and demonstrate critical thinking skills. This involves presenting a comprehensive and logical argument, supported by relevant evidence and examples.

One effective way to present data in an undergraduate thesis is through the use of tables and figures. Tables can help organize and summarize complex information, making it easier for readers to grasp the key findings or trends. Similarly, figures such as charts or graphs can visually represent data, enhancing its comprehension and impact. When using tables and figures, it is important to label and caption them appropriately, providing clear explanations of the presented data.

Furthermore, incorporating quotes from reputable sources can strengthen the credibility of an undergraduate thesis. Quoting experts in the field or citing relevant studies can add depth and support to the arguments being made. When including quotes, it is essential to attribute them correctly and provide proper citations following the specified referencing style.

Example Table:

By fully developing ideas and presenting data effectively, students can create a compelling undergraduate thesis that showcases their research skills and contributes to the academic discourse in their field.

An undergraduate thesis should not only present data but also discuss the implications of the research and its potential impact. This section is crucial as it allows the writer to delve deeper into the significance of their findings and provide relevant context to their work. By discussing the implications, the writer demonstrates a thorough understanding of the subject matter and how it relates to the broader academic community.

“The implications of this study suggest that further research is needed to explore the long-term effects of X on Y,” says Dr. Jane Smith, a renowned expert in the field. “These findings have the potential to revolutionize current practices and pave the way for innovative solutions.”

Furthermore, discussing the implications allows the writer to showcase their critical thinking skills, analytical abilities, and their ability to draw connections between their research and real-world applications. It also provides an opportunity to address any limitations or constraints that may have influenced the results, offering suggestions for future research.

Table: Implications of the Research

In conclusion, the implications and discussion section of an undergraduate thesis not only highlights the importance of the research findings but also provides an opportunity for the writer to showcase their intellectual rigor and contribute to their respective field of study.

The time required to complete an undergraduate thesis can vary depending on various factors such as the project’s complexity, the level of research involved, and individual circumstances. Unlike shorter assignments, an undergraduate thesis demands a more substantial commitment of time and effort. It is essential to allocate sufficient time to conduct thorough research, analyze data, and fully develop ideas. Rushing through the process may compromise the quality of the work.

On average, it can take anywhere from several months to a year to complete an undergraduate thesis. The duration is influenced by factors such as the scope of the research, the availability of resources, and the student’s familiarity with the topic. It is advisable to start the thesis early, allowing ample time for literature review, experimentation, and drafting the final document.

It is crucial to establish a realistic timeline and set achievable milestones to ensure timely progress. Regular communication and collaboration with the thesis advisor or professor can help in better managing the workload and staying on track. These mentors can provide guidance, offer feedback, and help navigate any challenges that may arise during the research process.

Ultimately, the amount of time required to complete an undergraduate thesis will depend on the individual’s dedication, organization, and ability to manage competing commitments. By carefully planning and executing each stage of the thesis, students can successfully navigate the research journey and produce a high-quality piece of work.

Factors Affecting the Time Required

  • The complexity of the research question or topic
  • The extent of data collection and analysis required
  • The availability of resources and access to relevant literature
  • The student’s prior knowledge and familiarity with the subject
  • External commitments, such as part-time jobs or extracurricular activities

By considering these factors and planning accordingly, students can better estimate the time needed to complete their undergraduate thesis and ensure a successful research experience.

Table: Comparison of the lengths of undergraduate, master’s, and doctoral theses.

In summary, completing an undergraduate thesis requires careful planning, dedication, and effective time management. The time required can vary based on factors such as the project’s complexity, scope of research, and individual circumstances. By allocating sufficient time, staying organized, and seeking guidance when needed, students can successfully complete their undergraduate thesis and contribute valuable research to their field.

Faculty Guidelines and Supervision

To ensure a successful undergraduate thesis, it is essential to adhere to the guidelines provided by the university and follow the instructions of the professor supervising the project. The faculty’s instructions serve as a roadmap, guiding you through the process and ensuring that you meet the necessary requirements.

Your professor, as the project supervisor, plays a crucial role in providing guidance, support, and feedback throughout the thesis journey. They will offer valuable insights, help shape your research questions, and provide direction on the methodology and analysis. Regular meetings with your professor will allow for discussions, revisions, and clarifications, ultimately refining your work to meet the academic standards.

Moreover, your professor can offer expertise in your specific field of study, helping you navigate through any challenges that may arise. Their knowledge and experience will contribute to the development of your thesis, ensuring that it aligns with current research and scholarly expectations.

Faculty Guidelines and Project Success

The adherence to faculty guidelines and the close supervision of your professor are key factors in the success of your undergraduate thesis. By following these guidelines and seeking regular input from your supervisor, you will be well-positioned to produce a high-quality thesis that meets the academic standards set by your university and faculty.

References:

Comparing undergraduate, master’s, and doctoral theses.

While undergraduate theses typically range between 10 and 20 pages, master’s theses can be longer, usually ranging from 60 to 100 pages, while doctoral dissertations can span at least 90 pages and sometimes even exceed 200 pages. The length of these academic papers varies based on the level of the degree being pursued.

Master’s theses require a more extensive exploration of the chosen topic compared to undergraduate theses. This is why they tend to have a higher page count. With more research conducted and a deeper analysis of the subject matter, the length of a master’s thesis increases to accommodate the additional details and findings.

Doctoral dissertations, on the other hand, are the longest of the three. They involve in-depth research and original contributions to the field of study, necessitating a larger volume of content. Doctoral students are expected to delve into their subjects extensively, conducting extensive research, experiments, and overall comprehensive analyses. Consequently, their dissertations tend to have a substantial page count to encompass all the research conducted and the insights gained.

It is important to keep in mind that these page counts are general guidelines and can vary depending on the specific requirements of individual institutions and programs. However, understanding the typical length of undergraduate, master’s, and doctoral theses provides students with a sense of the level of detail and breadth expected at each stage of their academic journey.

The length of an undergraduate thesis can be influenced by various factors, including the technical complexities of the topic chosen and the extent of research conducted. When exploring a complex subject matter with intricate technicalities, it often requires a more comprehensive analysis and explanation, leading to a longer thesis. On the other hand, a less complex topic may allow for a more concise presentation.

The volume of research conducted is another key factor. Extensive research often leads to a greater amount of data and information that needs to be incorporated into the thesis, resulting in a longer document. In contrast, limited research may yield a shorter thesis.

It is important to note that while there may be some guidelines or expectations regarding thesis length, these factors can vary depending on the specific requirements of the faculty and university. Some institutions may have specific page count requirements, while others may prioritize the quality and depth of research over the length. It is crucial for students to familiarize themselves with the guidelines provided by their respective faculties and to consult with their professors for guidance and clarification.

Table 1: Comparison of Undergraduate, Master’s, and Doctoral Theses Length

The table above provides a general overview of the expected page lengths for undergraduate, master’s, and doctoral theses. While these are typical ranges, it is important to note that the actual length can still vary depending on other factors discussed earlier.

The image above serves as a visual representation of the complex technicalities that can influence the length of an undergraduate thesis, highlighting the need for thorough research and analysis.

In conclusion, the length of an undergraduate thesis typically ranges between 10 and 20 double-spaced pages, excluding tables, figures, and references, and should be sufficient to fully develop ideas, present data, and discuss the implications of the work.

An undergraduate thesis follows the format of a scientific article, including sections such as abstract, introduction, methods, results, discussion, references, and tables/figures. These sections provide a structured framework for presenting research findings and analyzing their significance.

While the length of an undergraduate thesis may seem shorter compared to master’s theses and doctoral dissertations, which can be at least 60 pages and upwards of 90 pages respectively, it is important to note that the focus of an undergraduate thesis is on presenting a comprehensive exploration of a specific topic within a limited scope.

When working on an undergraduate thesis, it is crucial to adhere to the guidelines provided by the university and the professor supervising the project. These guidelines may include specific instructions regarding page count, formatting, and content requirements. By following these guidelines and conducting thorough research, students can produce a well-structured and impactful undergraduate thesis.

How long is an undergraduate thesis?

What format does an undergraduate thesis follow.

An undergraduate thesis follows the format of a scientific article, including sections such as abstract, introduction, methods, results, discussion, references, and tables/figures.

What should an undergraduate thesis accomplish?

An undergraduate thesis should fully develop ideas, present data, and discuss the implications of the work.

How long does it take to complete an undergraduate thesis?

The time required to complete an undergraduate thesis can vary, but it typically depends on the topic’s technicalities and the extent of research conducted.

How important is it to adhere to faculty guidelines and supervision?

It is crucial to adhere to the guidelines provided by the university and the professor supervising the project to ensure the successful completion of an undergraduate thesis.

How does the length of an undergraduate thesis compare to master’s and doctoral theses?

Undergraduate theses are typically shorter, ranging from 10-20 pages, while master’s theses can be 60-100 pages and doctoral dissertations can exceed 200 pages.

What factors can influence the length of an undergraduate thesis?

The length of an undergraduate thesis can be influenced by various factors, including the technicalities of the topic and the extent of research conducted.

Source Links

  • https://blogs.studentlife.utoronto.ca/lifeatuoft/2020/12/10/my-experience-writing-an-undergraduate-thesis/
  • https://publichealth.berkeley.edu/wp-content/uploads/2019/12/Honors-Thesis-Guide-2019.pdf
  • https://gradebees.com/thesis-dissertation-length/

Baron Cooke has been writing and editing for 7 years. He grew up with an aptitude for geometry, statistics, and dimensions. He has a BA in construction management and also has studied civil infrastructure, engineering, and measurements. He is the head writer of measuringknowhow.com

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The Writing Center • University of North Carolina at Chapel Hill

Honors Theses

What this handout is about.

Writing a senior honors thesis, or any major research essay, can seem daunting at first. A thesis requires a reflective, multi-stage writing process. This handout will walk you through those stages. It is targeted at students in the humanities and social sciences, since their theses tend to involve more writing than projects in the hard sciences. Yet all thesis writers may find the organizational strategies helpful.

Introduction

What is an honors thesis.

That depends quite a bit on your field of study. However, all honors theses have at least two things in common:

  • They are based on students’ original research.
  • They take the form of a written manuscript, which presents the findings of that research. In the humanities, theses average 50-75 pages in length and consist of two or more chapters. In the social sciences, the manuscript may be shorter, depending on whether the project involves more quantitative than qualitative research. In the hard sciences, the manuscript may be shorter still, often taking the form of a sophisticated laboratory report.

Who can write an honors thesis?

In general, students who are at the end of their junior year, have an overall 3.2 GPA, and meet their departmental requirements can write a senior thesis. For information about your eligibility, contact:

  • UNC Honors Program
  • Your departmental administrators of undergraduate studies/honors

Why write an honors thesis?

Satisfy your intellectual curiosity This is the most compelling reason to write a thesis. Whether it’s the short stories of Flannery O’Connor or the challenges of urban poverty, you’ve studied topics in college that really piqued your interest. Now’s your chance to follow your passions, explore further, and contribute some original ideas and research in your field.

Develop transferable skills Whether you choose to stay in your field of study or not, the process of developing and crafting a feasible research project will hone skills that will serve you well in almost any future job. After all, most jobs require some form of problem solving and oral and written communication. Writing an honors thesis requires that you:

  • ask smart questions
  • acquire the investigative instincts needed to find answers
  • navigate libraries, laboratories, archives, databases, and other research venues
  • develop the flexibility to redirect your research if your initial plan flops
  • master the art of time management
  • hone your argumentation skills
  • organize a lengthy piece of writing
  • polish your oral communication skills by presenting and defending your project to faculty and peers

Work closely with faculty mentors At large research universities like Carolina, you’ve likely taken classes where you barely got to know your instructor. Writing a thesis offers the opportunity to work one-on-one with a with faculty adviser. Such mentors can enrich your intellectual development and later serve as invaluable references for graduate school and employment.

Open windows into future professions An honors thesis will give you a taste of what it’s like to do research in your field. Even if you’re a sociology major, you may not really know what it’s like to be a sociologist. Writing a sociology thesis would open a window into that world. It also might help you decide whether to pursue that field in graduate school or in your future career.

How do you write an honors thesis?

Get an idea of what’s expected.

It’s a good idea to review some of the honors theses other students have submitted to get a sense of what an honors thesis might look like and what kinds of things might be appropriate topics. Look for examples from the previous year in the Carolina Digital Repository. You may also be able to find past theses collected in your major department or at the North Carolina Collection in Wilson Library. Pay special attention to theses written by students who share your major.

Choose a topic

Ideally, you should start thinking about topics early in your junior year, so you can begin your research and writing quickly during your senior year. (Many departments require that you submit a proposal for an honors thesis project during the spring of your junior year.)

How should you choose a topic?

  • Read widely in the fields that interest you. Make a habit of browsing professional journals to survey the “hot” areas of research and to familiarize yourself with your field’s stylistic conventions. (You’ll find the most recent issues of the major professional journals in the periodicals reading room on the first floor of Davis Library).
  • Set up appointments to talk with faculty in your field. This is a good idea, since you’ll eventually need to select an advisor and a second reader. Faculty also can help you start narrowing down potential topics.
  • Look at honors theses from the past. The North Carolina Collection in Wilson Library holds UNC honors theses. To get a sense of the typical scope of a thesis, take a look at a sampling from your field.

What makes a good topic?

  • It’s fascinating. Above all, choose something that grips your imagination. If you don’t, the chances are good that you’ll struggle to finish.
  • It’s doable. Even if a topic interests you, it won’t work out unless you have access to the materials you need to research it. Also be sure that your topic is narrow enough. Let’s take an example: Say you’re interested in the efforts to ratify the Equal Rights Amendment in the 1970s and early 1980s. That’s a big topic that probably can’t be adequately covered in a single thesis. You need to find a case study within that larger topic. For example, maybe you’re particularly interested in the states that did not ratify the ERA. Of those states, perhaps you’ll select North Carolina, since you’ll have ready access to local research materials. And maybe you want to focus primarily on the ERA’s opponents. Beyond that, maybe you’re particularly interested in female opponents of the ERA. Now you’ve got a much more manageable topic: Women in North Carolina Who Opposed the ERA in the 1970s and 1980s.
  • It contains a question. There’s a big difference between having a topic and having a guiding research question. Taking the above topic, perhaps your main question is: Why did some women in North Carolina oppose the ERA? You will, of course, generate other questions: Who were the most outspoken opponents? White women? Middle-class women? How did they oppose the ERA? Public protests? Legislative petitions? etc. etc. Yet it’s good to start with a guiding question that will focus your research.

Goal-setting and time management

The senior year is an exceptionally busy time for college students. In addition to the usual load of courses and jobs, seniors have the daunting task of applying for jobs and/or graduate school. These demands are angst producing and time consuming If that scenario sounds familiar, don’t panic! Do start strategizing about how to make a time for your thesis. You may need to take a lighter course load or eliminate extracurricular activities. Even if the thesis is the only thing on your plate, you still need to make a systematic schedule for yourself. Most departments require that you take a class that guides you through the honors project, so deadlines likely will be set for you. Still, you should set your own goals for meeting those deadlines. Here are a few suggestions for goal setting and time management:

Start early. Keep in mind that many departments will require that you turn in your thesis sometime in early April, so don’t count on having the entire spring semester to finish your work. Ideally, you’ll start the research process the semester or summer before your senior year so that the writing process can begin early in the fall. Some goal-setting will be done for you if you are taking a required class that guides you through the honors project. But any substantive research project requires a clear timetable.

Set clear goals in making a timetable. Find out the final deadline for turning in your project to your department. Working backwards from that deadline, figure out how much time you can allow for the various stages of production.

Here is a sample timetable. Use it, however, with two caveats in mind:

  • The timetable for your thesis might look very different depending on your departmental requirements.
  • You may not wish to proceed through these stages in a linear fashion. You may want to revise chapter one before you write chapter two. Or you might want to write your introduction last, not first. This sample is designed simply to help you start thinking about how to customize your own schedule.

Sample timetable

Avoid falling into the trap of procrastination. Once you’ve set goals for yourself, stick to them! For some tips on how to do this, see our handout on procrastination .

Consistent production

It’s a good idea to try to squeeze in a bit of thesis work every day—even if it’s just fifteen minutes of journaling or brainstorming about your topic. Or maybe you’ll spend that fifteen minutes taking notes on a book. The important thing is to accomplish a bit of active production (i.e., putting words on paper) for your thesis every day. That way, you develop good writing habits that will help you keep your project moving forward.

Make yourself accountable to someone other than yourself

Since most of you will be taking a required thesis seminar, you will have deadlines. Yet you might want to form a writing group or enlist a peer reader, some person or people who can help you stick to your goals. Moreover, if your advisor encourages you to work mostly independently, don’t be afraid to ask them to set up periodic meetings at which you’ll turn in installments of your project.

Brainstorming and freewriting

One of the biggest challenges of a lengthy writing project is keeping the creative juices flowing. Here’s where freewriting can help. Try keeping a small notebook handy where you jot down stray ideas that pop into your head. Or schedule time to freewrite. You may find that such exercises “free” you up to articulate your argument and generate new ideas. Here are some questions to stimulate freewriting.

Questions for basic brainstorming at the beginning of your project:

  • What do I already know about this topic?
  • Why do I care about this topic?
  • Why is this topic important to people other than myself
  • What more do I want to learn about this topic?
  • What is the main question that I am trying to answer?
  • Where can I look for additional information?
  • Who is my audience and how can I reach them?
  • How will my work inform my larger field of study?
  • What’s the main goal of my research project?

Questions for reflection throughout your project:

  • What’s my main argument? How has it changed since I began the project?
  • What’s the most important evidence that I have in support of my “big point”?
  • What questions do my sources not answer?
  • How does my case study inform or challenge my field writ large?
  • Does my project reinforce or contradict noted scholars in my field? How?
  • What is the most surprising finding of my research?
  • What is the most frustrating part of this project?
  • What is the most rewarding part of this project?
  • What will be my work’s most important contribution?

Research and note-taking

In conducting research, you will need to find both primary sources (“firsthand” sources that come directly from the period/events/people you are studying) and secondary sources (“secondhand” sources that are filtered through the interpretations of experts in your field.) The nature of your research will vary tremendously, depending on what field you’re in. For some general suggestions on finding sources, consult the UNC Libraries tutorials . Whatever the exact nature of the research you’re conducting, you’ll be taking lots of notes and should reflect critically on how you do that. Too often it’s assumed that the research phase of a project involves very little substantive writing (i.e., writing that involves thinking). We sit down with our research materials and plunder them for basic facts and useful quotations. That mechanical type of information-recording is important. But a more thoughtful type of writing and analytical thinking is also essential at this stage. Some general guidelines for note-taking:

First of all, develop a research system. There are lots of ways to take and organize your notes. Whether you choose to use note cards, computer databases, or notebooks, follow two cardinal rules:

  • Make careful distinctions between direct quotations and your paraphrasing! This is critical if you want to be sure to avoid accidentally plagiarizing someone else’s work. For more on this, see our handout on plagiarism .
  • Record full citations for each source. Don’t get lazy here! It will be far more difficult to find the proper citation later than to write it down now.

Keeping those rules in mind, here’s a template for the types of information that your note cards/legal pad sheets/computer files should include for each of your sources:

Abbreviated subject heading: Include two or three words to remind you of what this sources is about (this shorthand categorization is essential for the later sorting of your sources).

Complete bibliographic citation:

  • author, title, publisher, copyright date, and page numbers for published works
  • box and folder numbers and document descriptions for archival sources
  • complete web page title, author, address, and date accessed for online sources

Notes on facts, quotations, and arguments: Depending on the type of source you’re using, the content of your notes will vary. If, for example, you’re using US Census data, then you’ll mainly be writing down statistics and numbers. If you’re looking at someone else’s diary, you might jot down a number of quotations that illustrate the subject’s feelings and perspectives. If you’re looking at a secondary source, you’ll want to make note not just of factual information provided by the author but also of their key arguments.

Your interpretation of the source: This is the most important part of note-taking. Don’t just record facts. Go ahead and take a stab at interpreting them. As historians Jacques Barzun and Henry F. Graff insist, “A note is a thought.” So what do these thoughts entail? Ask yourself questions about the context and significance of each source.

Interpreting the context of a source:

  • Who wrote/created the source?
  • When, and under what circumstances, was it written/created?
  • Why was it written/created? What was the agenda behind the source?
  • How was it written/created?
  • If using a secondary source: How does it speak to other scholarship in the field?

Interpreting the significance of a source:

  • How does this source answer (or complicate) my guiding research questions?
  • Does it pose new questions for my project? What are they?
  • Does it challenge my fundamental argument? If so, how?
  • Given the source’s context, how reliable is it?

You don’t need to answer all of these questions for each source, but you should set a goal of engaging in at least one or two sentences of thoughtful, interpretative writing for each source. If you do so, you’ll make much easier the next task that awaits you: drafting.

The dread of drafting

Why do we often dread drafting? We dread drafting because it requires synthesis, one of the more difficult forms of thinking and interpretation. If you’ve been free-writing and taking thoughtful notes during the research phase of your project, then the drafting should be far less painful. Here are some tips on how to get started:

Sort your “evidence” or research into analytical categories:

  • Some people file note cards into categories.
  • The technologically-oriented among us take notes using computer database programs that have built-in sorting mechanisms.
  • Others cut and paste evidence into detailed outlines on their computer.
  • Still others stack books, notes, and photocopies into topically-arranged piles.There is not a single right way, but this step—in some form or fashion—is essential!

If you’ve been forcing yourself to put subject headings on your notes as you go along, you’ll have generated a number of important analytical categories. Now, you need to refine those categories and sort your evidence. Everyone has a different “sorting style.”

Formulate working arguments for your entire thesis and individual chapters. Once you’ve sorted your evidence, you need to spend some time thinking about your project’s “big picture.” You need to be able to answer two questions in specific terms:

  • What is the overall argument of my thesis?
  • What are the sub-arguments of each chapter and how do they relate to my main argument?

Keep in mind that “working arguments” may change after you start writing. But a senior thesis is big and potentially unwieldy. If you leave this business of argument to chance, you may end up with a tangle of ideas. See our handout on arguments and handout on thesis statements for some general advice on formulating arguments.

Divide your thesis into manageable chunks. The surest road to frustration at this stage is getting obsessed with the big picture. What? Didn’t we just say that you needed to focus on the big picture? Yes, by all means, yes. You do need to focus on the big picture in order to get a conceptual handle on your project, but you also need to break your thesis down into manageable chunks of writing. For example, take a small stack of note cards and flesh them out on paper. Or write through one point on a chapter outline. Those small bits of prose will add up quickly.

Just start! Even if it’s not at the beginning. Are you having trouble writing those first few pages of your chapter? Sometimes the introduction is the toughest place to start. You should have a rough idea of your overall argument before you begin writing one of the main chapters, but you might find it easier to start writing in the middle of a chapter of somewhere other than word one. Grab hold where you evidence is strongest and your ideas are clearest.

Keep up the momentum! Assuming the first draft won’t be your last draft, try to get your thoughts on paper without spending too much time fussing over minor stylistic concerns. At the drafting stage, it’s all about getting those ideas on paper. Once that task is done, you can turn your attention to revising.

Peter Elbow, in Writing With Power, suggests that writing is difficult because it requires two conflicting tasks: creating and criticizing. While these two tasks are intimately intertwined, the drafting stage focuses on creating, while revising requires criticizing. If you leave your revising to the last minute, then you’ve left out a crucial stage of the writing process. See our handout for some general tips on revising . The challenges of revising an honors thesis may include:

Juggling feedback from multiple readers

A senior thesis may mark the first time that you have had to juggle feedback from a wide range of readers:

  • your adviser
  • a second (and sometimes third) faculty reader
  • the professor and students in your honors thesis seminar

You may feel overwhelmed by the prospect of incorporating all this advice. Keep in mind that some advice is better than others. You will probably want to take most seriously the advice of your adviser since they carry the most weight in giving your project a stamp of approval. But sometimes your adviser may give you more advice than you can digest. If so, don’t be afraid to approach them—in a polite and cooperative spirit, of course—and ask for some help in prioritizing that advice. See our handout for some tips on getting and receiving feedback .

Refining your argument

It’s especially easy in writing a lengthy work to lose sight of your main ideas. So spend some time after you’ve drafted to go back and clarify your overall argument and the individual chapter arguments and make sure they match the evidence you present.

Organizing and reorganizing

Again, in writing a 50-75 page thesis, things can get jumbled. You may find it particularly helpful to make a “reverse outline” of each of your chapters. That will help you to see the big sections in your work and move things around so there’s a logical flow of ideas. See our handout on  organization  for more organizational suggestions and tips on making a reverse outline

Plugging in holes in your evidence

It’s unlikely that you anticipated everything you needed to look up before you drafted your thesis. Save some time at the revising stage to plug in the holes in your research. Make sure that you have both primary and secondary evidence to support and contextualize your main ideas.

Saving time for the small stuff

Even though your argument, evidence, and organization are most important, leave plenty of time to polish your prose. At this point, you’ve spent a very long time on your thesis. Don’t let minor blemishes (misspellings and incorrect grammar) distract your readers!

Formatting and final touches

You’re almost done! You’ve researched, drafted, and revised your thesis; now you need to take care of those pesky little formatting matters. An honors thesis should replicate—on a smaller scale—the appearance of a dissertation or master’s thesis. So, you need to include the “trappings” of a formal piece of academic work. For specific questions on formatting matters, check with your department to see if it has a style guide that you should use. For general formatting guidelines, consult the Graduate School’s Guide to Dissertations and Theses . Keeping in mind the caveat that you should always check with your department first about its stylistic guidelines, here’s a brief overview of the final “finishing touches” that you’ll need to put on your honors thesis:

  • Honors Thesis
  • Name of Department
  • University of North Carolina
  • These parts of the thesis will vary in format depending on whether your discipline uses MLA, APA, CBE, or Chicago (also known in its shortened version as Turabian) style. Whichever style you’re using, stick to the rules and be consistent. It might be helpful to buy an appropriate style guide. Or consult the UNC LibrariesYear Citations/footnotes and works cited/reference pages  citation tutorial
  • In addition, in the bottom left corner, you need to leave space for your adviser and faculty readers to sign their names. For example:

Approved by: _____________________

Adviser: Prof. Jane Doe

  • This is not a required component of an honors thesis. However, if you want to thank particular librarians, archivists, interviewees, and advisers, here’s the place to do it. You should include an acknowledgments page if you received a grant from the university or an outside agency that supported your research. It’s a good idea to acknowledge folks who helped you with a major project, but do not feel the need to go overboard with copious and flowery expressions of gratitude. You can—and should—always write additional thank-you notes to people who gave you assistance.
  • Formatted much like the table of contents.
  • You’ll need to save this until the end, because it needs to reflect your final pagination. Once you’ve made all changes to the body of the thesis, then type up your table of contents with the titles of each section aligned on the left and the page numbers on which those sections begin flush right.
  • Each page of your thesis needs a number, although not all page numbers are displayed. All pages that precede the first page of the main text (i.e., your introduction or chapter one) are numbered with small roman numerals (i, ii, iii, iv, v, etc.). All pages thereafter use Arabic numerals (1, 2, 3, 4, 5, etc.).
  • Your text should be double spaced (except, in some cases, long excerpts of quoted material), in a 12 point font and a standard font style (e.g., Times New Roman). An honors thesis isn’t the place to experiment with funky fonts—they won’t enhance your work, they’ll only distract your readers.
  • In general, leave a one-inch inch margin on all sides. However, for the copy of your thesis that will be bound by the library, you need to leave a 1.25-inch margin on the left.

How do I defend my honors thesis?

Graciously, enthusiastically, and confidently. The term defense is scary and misleading—it conjures up images of a military exercise or an athletic maneuver. An academic defense ideally shouldn’t be a combative scene but a congenial conversation about the work’s merits and weaknesses. That said, the defense probably won’t be like the average conversation that you have with your friends. You’ll be the center of attention. And you may get some challenging questions. Thus, it’s a good idea to spend some time preparing yourself. First of all, you’ll want to prepare 5-10 minutes of opening comments. Here’s a good time to preempt some criticisms by frankly acknowledging what you think your work’s greatest strengths and weaknesses are. Then you may be asked some typical questions:

  • What is the main argument of your thesis?
  • How does it fit in with the work of Ms. Famous Scholar?
  • Have you read the work of Mr. Important Author?

NOTE: Don’t get too flustered if you haven’t! Most scholars have their favorite authors and books and may bring one or more of them up, even if the person or book is only tangentially related to the topic at hand. Should you get this question, answer honestly and simply jot down the title or the author’s name for future reference. No one expects you to have read everything that’s out there.

  • Why did you choose this particular case study to explore your topic?
  • If you were to expand this project in graduate school, how would you do so?

Should you get some biting criticism of your work, try not to get defensive. Yes, this is a defense, but you’ll probably only fan the flames if you lose your cool. Keep in mind that all academic work has flaws or weaknesses, and you can be sure that your professors have received criticisms of their own work. It’s part of the academic enterprise. Accept criticism graciously and learn from it. If you receive criticism that is unfair, stand up for yourself confidently, but in a good spirit. Above all, try to have fun! A defense is a rare opportunity to have eminent scholars in your field focus on YOU and your ideas and work. And the defense marks the end of a long and arduous journey. You have every right to be proud of your accomplishments!

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

Atchity, Kenneth. 1986. A Writer’s Time: A Guide to the Creative Process from Vision Through Revision . New York: W.W. Norton.

Barzun, Jacques, and Henry F. Graff. 2012. The Modern Researcher , 6th ed. Belmont, CA: Wadsworth Cengage Learning.

Elbow, Peter. 1998. Writing With Power: Techniques for Mastering the Writing Process . New York: Oxford University Press.

Graff, Gerald, and Cathy Birkenstein. 2014. “They Say/I Say”: The Moves That Matter in Academic Writing , 3rd ed. New York: W.W. Norton and Company.

Lamott, Anne. 1994. Bird by Bird: Some Instructions on Writing and Life . New York: Pantheon.

Lasch, Christopher. 2002. Plain Style: A Guide to Written English. Philadelphia: University of Pennsylvania Press.

Turabian, Kate. 2018. A Manual for Writers of Term Papers, Theses, Dissertations , 9th ed. Chicago: University of Chicago Press.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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Academia Insider

How long is a Thesis or dissertation? [the data]

Writing a thesis for your undergraduate, master’s, or PhD can be a very daunting task. Especially when you consider how long a thesis can get. However, not all theses are the same length and the expected submission length is dependent on the level of study that you are currently enrolled in and the field in which you are studying.

An undergraduate thesis is likely to be about 20 to 50 pages long. A Master’s thesis is likely to be between 30 and 100 pages in length and a PhD dissertation is likely to be between 50 and 450 pages long.

In the table below I highlight the typical length of an undergraduate, master’s, and PhD.

It is important to note that this is highly dependent on the field of study and the expectations of your university, field, and research group.

If you want to know more about how long a Masters’s thesis and PhD dissertation is you can check out my other articles:

  • How Long is a Masters Thesis? [Your writing guide]
  • How long is a PhD dissertation? [Data by field]
  • How to write a masters thesis in 2 months [Easy steps to start writing]

These articles go into a lot more detail and specifics of each level of study.

Let’s take a more detailed look at the length of a thesis or dissertation. We’ll start from the very basics including what a thesis or dissertation really is.

What exactly is a thesis or a dissertation?

A thesis or a dissertation is a research project that is typically required of students in order to gain an advanced degree.

A dissertation is usually much longer and more detailed than a thesis, but they both involve extensive research and provide an in-depth analysis of their given subject.

Many people use the term interchangeably but quite often a Masters level research project results in a thesis. While a PhD research project results in a much longer dissertation.

Thesis work is usually completed over the course of several months and can require multiple drafts and revisions before being accepted. These will be looked over by your supervisor to ensure that you are meeting the expectations and standards of your research field.

PhD Dissertations are typically even more involved, taking years to complete. My PhD took me three years to complete but it is usual for them to take more than five years.

Both a thesis and a dissertation involve researching a particular topic, formulating an argument based on evidence gathered from the research, and presenting the findings in written form for review by peers or faculty members.

My Master’s thesis was reviewed by the chemistry Department whilst my PhD thesis was sent to experts in the field around the world.

Ultimately, these experts provide a commentary on whether or not you have reached the standards required of the University for admittance into the degree and the final decision will be made upon reviewing these comments by your universities graduation committee.

There are several outcomes including:

  • accepted without changes – this is where you must make no changes to your thesis and is accepted as is.
  • accepted with minor changes this is where your thesis will require some minor changes before being admitted to the degree. Usually, it is not sent back to the reviewers.
  • Major changes – this is where the committee has decided that you need to rework a number of major themes in your thesis and will likely want to see it at a later stage.
  • Rejected – this is where the thesis is rejected and the recommendation to downgrade your degree is made.

What is the typical length of a thesis or dissertation?

The length of a thesis or dissertation varies significantly according to the field of study and institution.

Generally, an undergraduate thesis is between 20-50 pages long while a PhD dissertation can range from 90-500 pages in length.

However, longer is not necessarily better as a highly mathematical PhD thesis with proofs may only be 50 pages long.

It also depends on the complexity of the topic being studied and the amount of research required to complete it.

A PhD dissertation should contain as many pages and words as it takes to outline the current state of your field and provide adequate background information, present your results, and provide confidence in your conclusions. A PhD dissertation will also contain figures, graphs, schematics, and other large pictorial items that can easily inflate the page count.

Here is a boxplot summary of many different fields of study and the number of pages of a typical PhD dissertation in the field.  It has been created by Marcus Beck  from all of the dissertations at the University of Minnesota.

how long are undergraduate thesis

Typically, the mathematical sciences, economics, and biostatistics theses and dissertations tend to be shorter because they rely on mathematical formulas to provide proof of their results rather than diagrams and long explanations.

On the other end of the scale, English, communication studies, political science, history and anthropology are often the largest theses in terms of pages and word count because of the number of words it takes to provide proof and depth of their results.

At the end of the day, it is important that your thesis gets signed off by your review committee and other experts in the field. Your supervisor will be the main judge of whether or not your dissertation is capable of satisfying the requirements of a master’s or doctoral degree in your field. 

How Many Pages Should a Master or PhD Thesis Have? Length of a thesis?

The length of a master’s thesis can vary greatly depending on the subject and format.

Generally, a masters thesis is expected to be around 100 pages long and should include:

  • a title page,
  • table of contents,
  • introduction,
  • literature review, 
  • main test and body of work, 
  • discussions and citations,
  • conclusion,
  • bibliography
  • and (sometimes) appendix.

Your supervisor should provide you with a specific format that you are expected to follow.

Depending on your field of study and the word count specified by your supervisor, these guidelines may change. The student must ask their advisor for examples of past student thesis and doctoral dissertations. 

For example, if there is a limited number of words allowed in the thesis then it may not be possible to have 100 pages or more for the thesis.

Additionally, if you are including a lot of technical information such as diagrams or tables in the appendix then this could increase the page count as well. For example, my PhD thesis contained a page like the one below. This page only contains images from atomic force microscopy. Because my PhD was very visual many pages like this exist.

how long are undergraduate thesis

Ultimately it is important to consult with your supervisor and determine how many pages your master’s thesis or PhD dissertation will be expected to have.

How long does it take to write a graduate thesis? Write your thesis quickly

Writing a graduate thesis can be a daunting task.

It is typically expected to take anywhere from one to three years, depending on the subject and scope of the project.

However, this is not just writing. A typical thesis or dissertation will require you to:

  • formulate a research question
  • do a literature review
  • create research methodology
  • perform original research
  • collect and analyse results
  • write peer-reviewed research papers
  • write a PhD/masters thesis
  • submit thesis and respond to examiners comments.

The actual writing component of a thesis or dissertation can take anywhere from one month to 6 months depending on how focused the graduate student is.

The amount of time it takes to write a thesis or dissertation can vary based on many factors, such as the type of research required, the length of the project, and other commitments that may interfere with progress.

Some students may have difficulty focusing or understanding their topic which can also add to the amount of time it takes to complete the project.

Regardless, writing a thesis is an important part of obtaining a graduate degree and should not be taken lightly.

It requires dedication and determination in order for one to successfully complete a thesis or dissertation within an appropriate timeframe.

In my YouTube video, below, I talk about how to finish your thesis or dissertation quickly:

it is full of a load of secrets including owning your day, managing your supervisor relationship, setting many goals, progress over perfection, and working with your own body clock to maximise productivity.

Wrapping up

This article has been through everything you need to know about the typical length of a thesis.

The answer to this question is highly dependent on your field of study and the expectations of your supervisor and university.

how long are undergraduate thesis

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

Thank you for visiting Academia Insider.

We are here to help you navigate Academia as painlessly as possible. We are supported by our readers and by visiting you are helping us earn a small amount through ads and affiliate revenue - Thank you!

how long are undergraduate thesis

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how long are undergraduate thesis

BS Thesis Guidelines and Timeline

Bachelor of science in biological sciences.

Bachelor of Science (BS): The BS is designed for students who wish to delve more deeply into the field of their major through additional electives, participation in scientific research, and completion of a BS thesis that summarizes their research. Successful BS students will (1) learn how scientists design and conduct scientific experiments; (2) collect data as part of a research effort; (3) evaluate the strengths and weaknesses of that data; (4) interpret the data in the context of a specific scientific discipline; and (5) describe their work in a BS Thesis

Students can earn a Bachelor of Science (BS) degree in Biological Sciences in any of the tracks by:

(1) completing three upper-level elective courses in Biological Sciences beyond those required for the BA degree, including  BIOS 28900  Undergraduate Bachelor of Science Research (or both quarters of  BIOS 00296  Undergraduate Honors Research if also pursuing Biology Research Honors)

(2) writing a BS thesis under the supervision of an adviser who is a member of the Biological Sciences Division research faculty.

Guidelines and Timeline for the BS in Biological Sciences

If you are participating in the BSCD honors program or a specialization that requires a thesis, you do not need to prepare a separate proposal (or thesis) for the BS degree, but you should submit copies of these materials to the BS program. Honors and specialization students are required to submit the BS Faculty Consent form in Spring of the 3rd year as directed below. You should adhere to the honors or specialization guidelines as you prepare your proposal, select faculty readers, and write your thesis. BS students who are writing a specialization thesis but are not in the BSCD Honors program are required to register for the BS research course (BIOS 28900) as directed below.

Spring of 2nd year

Declare your major as BA or BS in Biological Sciences. Remember that, in addition to the thesis, a BS requires three upper-level BIOS courses (numbered BIOS 21xxxx through 28xxx) beyond the five required for the BA degree. One of these courses must be BIOS 28900 unless you are taking BIOS 00296 for Research Honors.

Autumn of 3rd year

Start looking for a member of the BSD research faculty to serve as your thesis adviser and start developing ideas for your thesis research.

Description of the BS thesis

BS students will write a thesis based on original research. The topic must be a current issue in Biology, including basic science, medicine, and other applied fields, be described in a compelling thesis proposal, and be supported by a willing and appropriate Mentor. In most cases the thesis will present and analyze primary data collected by the student during their time in a mentor's lab. Students may also conduct critical and novel analysis of existing primary data (e.g., a critique of a healthcare policy such as methadone maintenance, a meta-analysis of recent clinical trials of antidepressants, or an argument against punctuated equilibria based on a fossil collection or genomic data). In either case, the work must be hypothesis driven and present evidence that tests the hypothesis. Topics related to global and public health will be accepted only for majors in the global and public health track. Please contact Chris Andrews if you have questions about the appropriateness of your topic. The thesis should follow the format of a published paper in a target journal appropriate for your topic but should include more extensive literature review and context in the introduction and conclusion.  A typical BS thesis is approximately 30 pages of double-spaced text (not including figures, tables and references).

Spring of 3rd year

To declare your interest in pursuing the BS in Biological Sciences, please submit the BS Faculty Consent Form  by 11:59 PM on Friday of finals week. If you have not already done so, please make sure you have officially declared your major as a BS in Biological Sciences so your college adviser can correctly slot courses into your degree program.

All BS students who will not be registered for BIOS 00296 (Undergraduate Honors Research) must register to take the BS research course (BIOS 28900 Undergraduate BS Research) in Autumn of their 4th year. We will add BIOS 00296 students to the BIOS 28900 Canvas site as unregistered students so they will receive announcements and can submit their materials for the BS degree. BS students who are writing a specialization thesis but are not in the BSCD Honors program are required to register for BIOS 28900.

Summer between 3rd and 4th year

BS students will typically conduct the bulk of their thesis research during this summer.

Autumn of 4th year

Unless you are in the BSCD Honors program and registered for BIOS 00296, make sure you are registered for the BS research course (BIOS 28900, Undergraduate BS Research) and have access to the associated Canvas site. BS students who are writing a specialization thesis but are not in the BSCD Honors program are required to register for the BS research course.

Submit a 1-2 page (single-spaced) thesis proposal (approved by your thesis adviser) as an assignment on the BIOS 28900 Canvas site by the end of Week 1.

Minimally, this proposal should include:

  • the name, e-mail address, and department of your thesis adviser.
  • a working title for your thesis.
  • one introductory paragraph giving the background and rationale for your project.
  • three to five paragraphs outlining your research question, hypotheses, predictions, and proposed methods.
  • a few sentences regarding your proposed research timeline.
  • a list of references cited in the proposal.

Winter of 4th year (by end of quarter)

During finals week , submit the names and e-mail addresses of two faculty readers from BSD research departments (other than your thesis adviser) to review your thesis in the spring. You will submit these names as an assignment on the BIOS 28900 Canvas site.

Spring of 4th year

By 11:59 PM on Friday of Week 4

Submit your thesis to your thesis adviser, who must approve it before you send it to readers for review. You do not need to submit this version of the thesis to the BSCD. This checkpoint allows your adviser to confirm that your thesis is in acceptable shape to send to readers.

By 11:59 PM on Friday of Week 5

Submit your thesis, approved by your thesis adviser, to your two faculty readers, along with the faculty review form (make a copy of the review form to share with readers here ). You should request that these readers return their reviews to you by Wednesday of Week 7 so you have time to respond to their feedback by the final deadline at the end of Week 8.

Between Weeks 7 and 8

In collaboration with your thesis adviser, revise your thesis in accordance with the feedback from your faculty reviewers. Both your thesis adviser and your two readers must sign off on the revisions before your final submission.  

By 11:59 PM on Friday of Week 8 

Submit the final version of the approved thesis, with confirmation of approval by your thesis adviser and two additional readers. You may collect signatures on a cover page ( here's the TEMPLATE)  or ask your adviser and readers to provide confirmation of approval by email to: [email protected]

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SciSpace Resources

What is a thesis | A Complete Guide with Examples

Madalsa

Table of Contents

A thesis is a comprehensive academic paper based on your original research that presents new findings, arguments, and ideas of your study. It’s typically submitted at the end of your master’s degree or as a capstone of your bachelor’s degree.

However, writing a thesis can be laborious, especially for beginners. From the initial challenge of pinpointing a compelling research topic to organizing and presenting findings, the process is filled with potential pitfalls.

Therefore, to help you, this guide talks about what is a thesis. Additionally, it offers revelations and methodologies to transform it from an overwhelming task to a manageable and rewarding academic milestone.

What is a thesis?

A thesis is an in-depth research study that identifies a particular topic of inquiry and presents a clear argument or perspective about that topic using evidence and logic.

Writing a thesis showcases your ability of critical thinking, gathering evidence, and making a compelling argument. Integral to these competencies is thorough research, which not only fortifies your propositions but also confers credibility to your entire study.

Furthermore, there's another phenomenon you might often confuse with the thesis: the ' working thesis .' However, they aren't similar and shouldn't be used interchangeably.

A working thesis, often referred to as a preliminary or tentative thesis, is an initial version of your thesis statement. It serves as a draft or a starting point that guides your research in its early stages.

As you research more and gather more evidence, your initial thesis (aka working thesis) might change. It's like a starting point that can be adjusted as you learn more. It's normal for your main topic to change a few times before you finalize it.

While a thesis identifies and provides an overarching argument, the key to clearly communicating the central point of that argument lies in writing a strong thesis statement.

What is a thesis statement?

A strong thesis statement (aka thesis sentence) is a concise summary of the main argument or claim of the paper. It serves as a critical anchor in any academic work, succinctly encapsulating the primary argument or main idea of the entire paper.

Typically found within the introductory section, a strong thesis statement acts as a roadmap of your thesis, directing readers through your arguments and findings. By delineating the core focus of your investigation, it offers readers an immediate understanding of the context and the gravity of your study.

Furthermore, an effectively crafted thesis statement can set forth the boundaries of your research, helping readers anticipate the specific areas of inquiry you are addressing.

Different types of thesis statements

A good thesis statement is clear, specific, and arguable. Therefore, it is necessary for you to choose the right type of thesis statement for your academic papers.

Thesis statements can be classified based on their purpose and structure. Here are the primary types of thesis statements:

Argumentative (or Persuasive) thesis statement

Purpose : To convince the reader of a particular stance or point of view by presenting evidence and formulating a compelling argument.

Example : Reducing plastic use in daily life is essential for environmental health.

Analytical thesis statement

Purpose : To break down an idea or issue into its components and evaluate it.

Example : By examining the long-term effects, social implications, and economic impact of climate change, it becomes evident that immediate global action is necessary.

Expository (or Descriptive) thesis statement

Purpose : To explain a topic or subject to the reader.

Example : The Great Depression, spanning the 1930s, was a severe worldwide economic downturn triggered by a stock market crash, bank failures, and reduced consumer spending.

Cause and effect thesis statement

Purpose : To demonstrate a cause and its resulting effect.

Example : Overuse of smartphones can lead to impaired sleep patterns, reduced face-to-face social interactions, and increased levels of anxiety.

Compare and contrast thesis statement

Purpose : To highlight similarities and differences between two subjects.

Example : "While both novels '1984' and 'Brave New World' delve into dystopian futures, they differ in their portrayal of individual freedom, societal control, and the role of technology."

When you write a thesis statement , it's important to ensure clarity and precision, so the reader immediately understands the central focus of your work.

What is the difference between a thesis and a thesis statement?

While both terms are frequently used interchangeably, they have distinct meanings.

A thesis refers to the entire research document, encompassing all its chapters and sections. In contrast, a thesis statement is a brief assertion that encapsulates the central argument of the research.

Here’s an in-depth differentiation table of a thesis and a thesis statement.

Now, to craft a compelling thesis, it's crucial to adhere to a specific structure. Let’s break down these essential components that make up a thesis structure

15 components of a thesis structure

Navigating a thesis can be daunting. However, understanding its structure can make the process more manageable.

Here are the key components or different sections of a thesis structure:

Your thesis begins with the title page. It's not just a formality but the gateway to your research.

title-page-of-a-thesis

Here, you'll prominently display the necessary information about you (the author) and your institutional details.

  • Title of your thesis
  • Your full name
  • Your department
  • Your institution and degree program
  • Your submission date
  • Your Supervisor's name (in some cases)
  • Your Department or faculty (in some cases)
  • Your University's logo (in some cases)
  • Your Student ID (in some cases)

In a concise manner, you'll have to summarize the critical aspects of your research in typically no more than 200-300 words.

Abstract-section-of-a-thesis

This includes the problem statement, methodology, key findings, and conclusions. For many, the abstract will determine if they delve deeper into your work, so ensure it's clear and compelling.

Acknowledgments

Research is rarely a solitary endeavor. In the acknowledgments section, you have the chance to express gratitude to those who've supported your journey.

Acknowledgement-section-of-a-thesis

This might include advisors, peers, institutions, or even personal sources of inspiration and support. It's a personal touch, reflecting the humanity behind the academic rigor.

Table of contents

A roadmap for your readers, the table of contents lists the chapters, sections, and subsections of your thesis.

Table-of-contents-of-a-thesis

By providing page numbers, you allow readers to navigate your work easily, jumping to sections that pique their interest.

List of figures and tables

Research often involves data, and presenting this data visually can enhance understanding. This section provides an organized listing of all figures and tables in your thesis.

List-of-tables-and-figures-in-a-thesis

It's a visual index, ensuring that readers can quickly locate and reference your graphical data.

Introduction

Here's where you introduce your research topic, articulate the research question or objective, and outline the significance of your study.

Introduction-section-of-a-thesis

  • Present the research topic : Clearly articulate the central theme or subject of your research.
  • Background information : Ground your research topic, providing any necessary context or background information your readers might need to understand the significance of your study.
  • Define the scope : Clearly delineate the boundaries of your research, indicating what will and won't be covered.
  • Literature review : Introduce any relevant existing research on your topic, situating your work within the broader academic conversation and highlighting where your research fits in.
  • State the research Question(s) or objective(s) : Clearly articulate the primary questions or objectives your research aims to address.
  • Outline the study's structure : Give a brief overview of how the subsequent sections of your work will unfold, guiding your readers through the journey ahead.

The introduction should captivate your readers, making them eager to delve deeper into your research journey.

Literature review section

Your study correlates with existing research. Therefore, in the literature review section, you'll engage in a dialogue with existing knowledge, highlighting relevant studies, theories, and findings.

Literature-review-section-thesis

It's here that you identify gaps in the current knowledge, positioning your research as a bridge to new insights.

To streamline this process, consider leveraging AI tools. For example, the SciSpace literature review tool enables you to efficiently explore and delve into research papers, simplifying your literature review journey.

Methodology

In the research methodology section, you’ll detail the tools, techniques, and processes you employed to gather and analyze data. This section will inform the readers about how you approached your research questions and ensures the reproducibility of your study.

Methodology-section-thesis

Here's a breakdown of what it should encompass:

  • Research Design : Describe the overall structure and approach of your research. Are you conducting a qualitative study with in-depth interviews? Or is it a quantitative study using statistical analysis? Perhaps it's a mixed-methods approach?
  • Data Collection : Detail the methods you used to gather data. This could include surveys, experiments, observations, interviews, archival research, etc. Mention where you sourced your data, the duration of data collection, and any tools or instruments used.
  • Sampling : If applicable, explain how you selected participants or data sources for your study. Discuss the size of your sample and the rationale behind choosing it.
  • Data Analysis : Describe the techniques and tools you used to process and analyze the data. This could range from statistical tests in quantitative research to thematic analysis in qualitative research.
  • Validity and Reliability : Address the steps you took to ensure the validity and reliability of your findings to ensure that your results are both accurate and consistent.
  • Ethical Considerations : Highlight any ethical issues related to your research and the measures you took to address them, including — informed consent, confidentiality, and data storage and protection measures.

Moreover, different research questions necessitate different types of methodologies. For instance:

  • Experimental methodology : Often used in sciences, this involves a controlled experiment to discern causality.
  • Qualitative methodology : Employed when exploring patterns or phenomena without numerical data. Methods can include interviews, focus groups, or content analysis.
  • Quantitative methodology : Concerned with measurable data and often involves statistical analysis. Surveys and structured observations are common tools here.
  • Mixed methods : As the name implies, this combines both qualitative and quantitative methodologies.

The Methodology section isn’t just about detailing the methods but also justifying why they were chosen. The appropriateness of the methods in addressing your research question can significantly impact the credibility of your findings.

Results (or Findings)

This section presents the outcomes of your research. It's crucial to note that the nature of your results may vary; they could be quantitative, qualitative, or a mix of both.

Results-section-thesis

Quantitative results often present statistical data, showcasing measurable outcomes, and they benefit from tables, graphs, and figures to depict these data points.

Qualitative results , on the other hand, might delve into patterns, themes, or narratives derived from non-numerical data, such as interviews or observations.

Regardless of the nature of your results, clarity is essential. This section is purely about presenting the data without offering interpretations — that comes later in the discussion.

In the discussion section, the raw data transforms into valuable insights.

Start by revisiting your research question and contrast it with the findings. How do your results expand, constrict, or challenge current academic conversations?

Dive into the intricacies of the data, guiding the reader through its implications. Detail potential limitations transparently, signaling your awareness of the research's boundaries. This is where your academic voice should be resonant and confident.

Practical implications (Recommendation) section

Based on the insights derived from your research, this section provides actionable suggestions or proposed solutions.

Whether aimed at industry professionals or the general public, recommendations translate your academic findings into potential real-world actions. They help readers understand the practical implications of your work and how it can be applied to effect change or improvement in a given field.

When crafting recommendations, it's essential to ensure they're feasible and rooted in the evidence provided by your research. They shouldn't merely be aspirational but should offer a clear path forward, grounded in your findings.

The conclusion provides closure to your research narrative.

It's not merely a recap but a synthesis of your main findings and their broader implications. Reconnect with the research questions or hypotheses posited at the beginning, offering clear answers based on your findings.

Conclusion-section-thesis

Reflect on the broader contributions of your study, considering its impact on the academic community and potential real-world applications.

Lastly, the conclusion should leave your readers with a clear understanding of the value and impact of your study.

References (or Bibliography)

Every theory you've expounded upon, every data point you've cited, and every methodological precedent you've followed finds its acknowledgment here.

References-section-thesis

In references, it's crucial to ensure meticulous consistency in formatting, mirroring the specific guidelines of the chosen citation style .

Proper referencing helps to avoid plagiarism , gives credit to original ideas, and allows readers to explore topics of interest. Moreover, it situates your work within the continuum of academic knowledge.

To properly cite the sources used in the study, you can rely on online citation generator tools  to generate accurate citations!

Here’s more on how you can cite your sources.

Often, the depth of research produces a wealth of material that, while crucial, can make the core content of the thesis cumbersome. The appendix is where you mention extra information that supports your research but isn't central to the main text.

Appendices-section-thesis

Whether it's raw datasets, detailed procedural methodologies, extended case studies, or any other ancillary material, the appendices ensure that these elements are archived for reference without breaking the main narrative's flow.

For thorough researchers and readers keen on meticulous details, the appendices provide a treasure trove of insights.

Glossary (optional)

In academics, specialized terminologies, and jargon are inevitable. However, not every reader is versed in every term.

The glossary, while optional, is a critical tool for accessibility. It's a bridge ensuring that even readers from outside the discipline can access, understand, and appreciate your work.

Glossary-section-of-a-thesis

By defining complex terms and providing context, you're inviting a wider audience to engage with your research, enhancing its reach and impact.

Remember, while these components provide a structured framework, the essence of your thesis lies in the originality of your ideas, the rigor of your research, and the clarity of your presentation.

As you craft each section, keep your readers in mind, ensuring that your passion and dedication shine through every page.

Thesis examples

To further elucidate the concept of a thesis, here are illustrative examples from various fields:

Example 1 (History): Abolition, Africans, and Abstraction: the Influence of the ‘Noble Savage’ on British and French Antislavery Thought, 1787-1807 by Suchait Kahlon.
Example 2 (Climate Dynamics): Influence of external forcings on abrupt millennial-scale climate changes: a statistical modelling study by Takahito Mitsui · Michel Crucifix

Checklist for your thesis evaluation

Evaluating your thesis ensures that your research meets the standards of academia. Here's an elaborate checklist to guide you through this critical process.

Content and structure

  • Is the thesis statement clear, concise, and debatable?
  • Does the introduction provide sufficient background and context?
  • Is the literature review comprehensive, relevant, and well-organized?
  • Does the methodology section clearly describe and justify the research methods?
  • Are the results/findings presented clearly and logically?
  • Does the discussion interpret the results in light of the research question and existing literature?
  • Is the conclusion summarizing the research and suggesting future directions or implications?

Clarity and coherence

  • Is the writing clear and free of jargon?
  • Are ideas and sections logically connected and flowing?
  • Is there a clear narrative or argument throughout the thesis?

Research quality

  • Is the research question significant and relevant?
  • Are the research methods appropriate for the question?
  • Is the sample size (if applicable) adequate?
  • Are the data analysis techniques appropriate and correctly applied?
  • Are potential biases or limitations addressed?

Originality and significance

  • Does the thesis contribute new knowledge or insights to the field?
  • Is the research grounded in existing literature while offering fresh perspectives?

Formatting and presentation

  • Is the thesis formatted according to institutional guidelines?
  • Are figures, tables, and charts clear, labeled, and referenced in the text?
  • Is the bibliography or reference list complete and consistently formatted?
  • Are appendices relevant and appropriately referenced in the main text?

Grammar and language

  • Is the thesis free of grammatical and spelling errors?
  • Is the language professional, consistent, and appropriate for an academic audience?
  • Are quotations and paraphrased material correctly cited?

Feedback and revision

  • Have you sought feedback from peers, advisors, or experts in the field?
  • Have you addressed the feedback and made the necessary revisions?

Overall assessment

  • Does the thesis as a whole feel cohesive and comprehensive?
  • Would the thesis be understandable and valuable to someone in your field?

Ensure to use this checklist to leave no ground for doubt or missed information in your thesis.

After writing your thesis, the next step is to discuss and defend your findings verbally in front of a knowledgeable panel. You’ve to be well prepared as your professors may grade your presentation abilities.

Preparing your thesis defense

A thesis defense, also known as "defending the thesis," is the culmination of a scholar's research journey. It's the final frontier, where you’ll present their findings and face scrutiny from a panel of experts.

Typically, the defense involves a public presentation where you’ll have to outline your study, followed by a question-and-answer session with a committee of experts. This committee assesses the validity, originality, and significance of the research.

The defense serves as a rite of passage for scholars. It's an opportunity to showcase expertise, address criticisms, and refine arguments. A successful defense not only validates the research but also establishes your authority as a researcher in your field.

Here’s how you can effectively prepare for your thesis defense .

Now, having touched upon the process of defending a thesis, it's worth noting that scholarly work can take various forms, depending on academic and regional practices.

One such form, often paralleled with the thesis, is the 'dissertation.' But what differentiates the two?

Dissertation vs. Thesis

Often used interchangeably in casual discourse, they refer to distinct research projects undertaken at different levels of higher education.

To the uninitiated, understanding their meaning might be elusive. So, let's demystify these terms and delve into their core differences.

Here's a table differentiating between the two.

Wrapping up

From understanding the foundational concept of a thesis to navigating its various components, differentiating it from a dissertation, and recognizing the importance of proper citation — this guide covers it all.

As scholars and readers, understanding these nuances not only aids in academic pursuits but also fosters a deeper appreciation for the relentless quest for knowledge that drives academia.

It’s important to remember that every thesis is a testament to curiosity, dedication, and the indomitable spirit of discovery.

Good luck with your thesis writing!

Frequently Asked Questions

A thesis typically ranges between 40-80 pages, but its length can vary based on the research topic, institution guidelines, and level of study.

A PhD thesis usually spans 200-300 pages, though this can vary based on the discipline, complexity of the research, and institutional requirements.

To identify a thesis topic, consider current trends in your field, gaps in existing literature, personal interests, and discussions with advisors or mentors. Additionally, reviewing related journals and conference proceedings can provide insights into potential areas of exploration.

The conceptual framework is often situated in the literature review or theoretical framework section of a thesis. It helps set the stage by providing the context, defining key concepts, and explaining the relationships between variables.

A thesis statement should be concise, clear, and specific. It should state the main argument or point of your research. Start by pinpointing the central question or issue your research addresses, then condense that into a single statement, ensuring it reflects the essence of your paper.

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Writing a senior thesis: is it worth it.

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Before coming to Yale, I thought a thesis was the main argument of a paper. I quickly learned that an undergraduate thesis is about fifty times harder and fifty pages longer than any thesis arguments I wrote in high school. At Yale, every senior has some sort of senior requirement, but thesis projects vary by department. Some departments require students to do a semester-long project, where you write a longer paper (25-35 pages) or expand, through writing, the research you’ve been working on (mostly applies to STEM majors). In some departments you can take two senior seminars and complete a longer project at the end of the semester. And other departments have an option to complete a year-long thesis: you spend your senior year (and in some cases your junior year), intensely researching and writing about a topic you choose or create yourself.

Both my departments––English and Ethnicity, Race, and Migration––offer all three of these options, and each student decides what they think is best for them. As a double major, I had the additional option to write an even longer thesis combining both my majors, but that seemed like way too much work––especially since I would have to take two senior thesis classes at the same time. Instead, I chose a year-long thesis for ER&M that combined my literary interests with various theoretical frameworks and the two senior seminars for English. This spring I’m taking my second seminar. Really, I chose the option to torture myself for a whole year, the end result being a minimum of 50 pages of innovative thinking and writing. I wanted to rise to the challenge, proving to myself I could do it. But there also seemed to be the pressure of “this is what everyone in the major does,” and a “thesis is proof that you actually learned.” Although these sentiments influenced my decision to complete a thesis, I know a long research paper does not validate my education or work as a scholar the last four years. It is not the end all be all.

My senior thesis focuses on Caribbean literature - specifically, two novels written by Caribbean women that really look at what it means to come from an immigrant family, to move, and to find yourself in completely new spaces. These experiences are all too relatable to my own life as a second-generation woman of color with immigrant parents enrolled at Yale. In my writing, I focus on how these women make sense of “home” (a very broad and complicated topic, I know), and what their stories tell us about the diasporic experience in general. The project is very personal to me, and I chose it because I wanted to understand my family’s history and their task in making “home” in the U.S., whatever that means. But because it’s so personal, it’s also been really difficult. I’ve experienced a lot of writer’s block or often felt unmotivated and judgmental towards my work. I’ve realized how difficult it is to devote your time and energy to such a long process––not only is it research heavy, but you have to write and rewrite drafts, constantly adjusting to make sure you’re being as clear as possible. Really, writing a thesis is like writing a portion of a book. And that’s crazy! You’re writing two or three whole chapters of academic work as an undergraduate student.

The process is definitely not for everyone, and I’ve certainly thought “Why did I want to do this again?” But what’s really kept me going is the support from my advisors and friends. The ER&M department faculty does an amazing job of providing us mentorship, revisions, and support throughout the process; my advisor has served as my editor but also the person who reminds me most that this work is important, as I often forget that. It also helps to have many friends and people in the major also writing their theses. I’ve found different spaces to just have a thesis study hall or working time, with other people also struggling through. Recently, I submitted my first full draft (note: it was kind of unfinished but it’s okay because it’s a draft!), and it was crazy to think that I wrote 50+ pages, most of which are just my own original thoughts and analysis on two books that have almost no scholarship written about them. It was a relief for sure. This week I will be taking a full break from it, but it reminded me of why I began this journey. It reminded me of all the people who’ve supported me along the way, and how I really couldn’t have done it without them. And now, I’m really looking forward to how good it will feel to turn in my fully written thesis mid-April. I’ve realized that this project shouldn’t be about making it good for Yale’s standard, but for myself, for my family, and for the people who believe in this work as much as I do.

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Senior Thesis & Undergraduate Research

Every year, approximately 45%-55% of senior History concentrators choose to cap their Harvard careers by writing a senior honors thesis.

The senior thesis tutorial is a two-semester sequence  comprising Hist 99a and Hist 99b . While the overwhelming majority of students who start a thesis choose to complete it, our process allows students to drop the thesis at the end of the fall semester after History 99a (in which case they are not eligible for departmental honors).

The senior thesis in History is a year-long project involving considerable primary- and secondary-source research and a good deal of writing; finished theses are expected to be between 60 and 130 pages in length , and to make an original contribution to historical knowledge.

The department’s senior thesis program is one of the strongest in Harvard College. In recent years, one quarter or more of our thesis writers have received  Hoopes Prizes , which is well over the College average.

History 99 Syllabus 2022–2023

History 99: Senior Thesis Writers’ Tutorial Wednesdays, 6–7 and 7-8 PM Robinson Conference Room

Click here to view the History 99 syllabus for this year.

A Sampling of Past History Thesis Titles

For a list of thesis titles from the past five years, please click here .

Senior Thesis Conference

The History Department's annual Senior Thesis Writer's Conference is an opportunity for thesis writers to present their projects as members of three-to-four person panels moderated by a faculty member or advanced graduate student, to an audience of other faculty and graduate students. Their aim is to get the critical and constructive feedback they need to clarify their arguments, refine their methods, and ultimately transform their research projects into theses.

Like our faculty, our student presenters are conscious of their reliance on other disciplines in almost every aspect of their work. This conference supplies opportunities to engage in cross-disciplinary dialogues. Audience members also learn from these dedicated and talented young scholars even as they teach them new ways of conceiving and pursuing their projects.

For more information about the conference or the Department's thesis program as a whole, please write to the  Assistant Director of Undergraduate Studies in History, or visit the Senior Thesis Writers Conference and History 99a website. The  Conference is open to all active members of the Harvard community.

All seniors writing theses receive as part of the History 99a and 99b seminar materials a Timetable for Thesis Writers which lists approximate deadlines for staying current with work on this large-scale project. (For current copies of these documents, please click here .) Many thesis writers will submit work in advance of the deadlines listed on the timetable, following schedules worked out with their individual advisers. Several of the deadlines listed on the timetable must be met:

  • Students who wish to enroll in History 99 must attend the first meeting of the seminar on Wednesday, September 5th at 6:00 pm in the Robinson Lower Library.
  • By the beginning of the fall reading period, students must submit substantial proof of research to both their adviser and the 99 History instructors. This usually takes the form of a chapter or two of the thesis (20–30 pages).
  • Theses are due to the History Undergraduate Office (Robinson 101) on Thursday, March 10, 2022  before 5:00 pm. Theses that are handed in late will be penalized.

Thesis Readings

Each History thesis is read by at least two impartial members of the Board of Tutors, assigned by the Department. The Board of Tutors consists of (1) all department faculty in residence and (2) all graduate students teaching History 97 and/or a Research Seminar, as well as those advising senior theses. If History is the secondary field of a joint concentration, there is only one History reader. Each reader assigns an evaluation to the thesis (highest honors, highest honors minus, high honors plus, high honors, high honors minus, honors plus, honors, or no distinction), and writes a report detailing the special strengths and weaknesses of the thesis.  Theses by students with a highest honors-level concentration GPA and one highest-level reading will automatically be assigned three readers. Additionally, a thesis by any student may be sent to a third reader when the first two evaluations are three or more distinctions apart (e.g., one high honors plus and one honors plus).

Department Standards for the Thesis Program

Seniors who wish to write a thesis must meet certain prerequisites:

  • a ‘B+’ average in the concentration;
  • a ‘B+’ average on a 20-page research seminar paper
  • the recommendation of their Research Seminar tutor(s).

Students who do not meet the above standards may petition the  History Undergraduate Office for admission to the senior thesis; successful petitions must include a detailed thesis proposal, and will be evaluated at the discretion of the Assistant Director of Undergraduate Studies (Asst. DUS).

The Awarding of Departmental Honors in History

THE AWARDING OF DEPARTMENTAL HONORS IN HISTORY

 Nominations for departmental honors are made by the Board of Examiners at the degree meeting each spring.  In making its nominations, the Board first takes two elements into account:  the average of course grades in History and thesis readings.  All students who may be eligible for a recommendation of highest honors will then be given an oral examination by the Board of Examiners; performance on this exam will be considered in determining the final recommendation.  The standing of those students at the border of two different degrees may also be determined through an oral examination administered by the Board of Examiners.

To be considered eligible for highest honors in history, a student will ordinarily have a grade point average greater than or equal to 3.85 in courses taken for departmental credit, and have received at least two highest -level thesis readings.  In addition, the student must convince the Board of Examiners of their qualifications for the highest recommendation through their performance on the oral examination.  Whether any particular student falling into this numerical range receives highest honors in history will be determined in part by the performance on the oral examination. 

To be considered eligible for high honors in history, a student will ordinarily have a grade point average greater than or equal to 3.7, and will ordinarily have received two high -level readings on the thesis. 

To be considered eligible for honors in history, a student will ordinarily have a grade point average greater than or equal to 3.3, and will ordinarily have received two honors -level readings on the thesis. 

Please note that the Department recommends students’ English honors (highest, high, honors, no honors) and sends these recommendations to the College which determines students’ Latin honors based on total GPA.  Please visit:   https://handbook.fas.harvard.edu/book/requirements-honors-degrees    for more information on how the College awards Latin honors (summa cum laude, magna cum laude, cum laude, no honors).  In addition, you should consult with your Resident Dean.  Any degree candidate who does not receive the A.B. degree with honors in History will be considered by the FAS for the degree of cum laude.  

Departmental Support

Students who do decide to enter the thesis program benefit from a great deal of departmental support. The Department encourages its thesis writers to consider the possibility of devoting the summer prior to their senior year to thesis research, whether on campus or around the world. Each year a large number of rising seniors find funding for summer thesis research. The Undergraduate Office holds a meeting to advise students on how to write a successful fellowship proposal. In addition, we maintain a  listing of organizations that have supported concentrators’ thesis research.

The Department also supports its senior thesis writers through two semesters of a Senior Thesis Seminar, History 99a and 99b , which provide a useful framework for thesis writers as they work through the intermittent difficulties that all thesis students inevitably encounter. For many seniors, their thesis will turn out to be the best piece of writing done while at Harvard. It will also be the longest and most complicated. Consequently, the seminars will focus much attention on the unique challenges of writing an extended, multi-chapter work. History 99a and 99b also provide a common forum in which seniors can share with thesis-writing colleagues their feedback, successes, frustrations, interests, and techniques. This kind of collegiality and exchange of ideas is at the heart of the academic seminar, and it can be the most rewarding aspect of the seminar series.

Students must enroll in the Thesis Seminars in order to write a thesis by obtaining approval from the Asst. DUS  on their study cards.

  • Thinking about a History Concentration?
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  • Graduate Program

Frequently asked questions

How long does it take to write a dissertation.

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

Frequently asked questions: Knowledge Base

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

Reliability and validity are both about how well a method measures something:

  • Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
  • Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research , you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

There are several reasons to conduct a literature review at the beginning of a research project:

  • To familiarise yourself with the current state of knowledge on your topic
  • To ensure that you’re not just repeating what others have already done
  • To identify gaps in knowledge and unresolved problems that your research can address
  • To develop your theoretical framework and methodology
  • To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

The literature review usually comes near the beginning of your  dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

Harvard referencing uses an author–date system. Sources are cited by the author’s last name and the publication year in brackets. Each Harvard in-text citation corresponds to an entry in the alphabetised reference list at the end of the paper.

Vancouver referencing uses a numerical system. Sources are cited by a number in parentheses or superscript. Each number corresponds to a full reference at the end of the paper.

A Harvard in-text citation should appear in brackets every time you quote, paraphrase, or refer to information from a source.

The citation can appear immediately after the quotation or paraphrase, or at the end of the sentence. If you’re quoting, place the citation outside of the quotation marks but before any other punctuation like a comma or full stop.

In Harvard referencing, up to three author names are included in an in-text citation or reference list entry. When there are four or more authors, include only the first, followed by ‘ et al. ’

A bibliography should always contain every source you cited in your text. Sometimes a bibliography also contains other sources that you used in your research, but did not cite in the text.

MHRA doesn’t specify a rule about this, so check with your supervisor to find out exactly what should be included in your bibliography.

Footnote numbers should appear in superscript (e.g. 11 ). You can use the ‘Insert footnote’ button in Word to do this automatically; it’s in the ‘References’ tab at the top.

Footnotes always appear after the quote or paraphrase they relate to. MHRA generally recommends placing footnote numbers at the end of the sentence, immediately after any closing punctuation, like this. 12

In situations where this might be awkward or misleading, such as a long sentence containing multiple quotations, footnotes can also be placed at the end of a clause mid-sentence, like this; 13 note that they still come after any punctuation.

When a source has two or three authors, name all of them in your MHRA references . When there are four or more, use only the first name, followed by ‘and others’:

Note that in the bibliography, only the author listed first has their name inverted. The names of additional authors and those of translators or editors are written normally.

A citation should appear wherever you use information or ideas from a source, whether by quoting or paraphrasing its content.

In Vancouver style , you have some flexibility about where the citation number appears in the sentence – usually directly after mentioning the author’s name is best, but simply placing it at the end of the sentence is an acceptable alternative, as long as it’s clear what it relates to.

In Vancouver style , when you refer to a source with multiple authors in your text, you should only name the first author followed by ‘et al.’. This applies even when there are only two authors.

In your reference list, include up to six authors. For sources with seven or more authors, list the first six followed by ‘et al.’.

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

  • In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
  • In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

Dissertation word counts vary widely across different fields, institutions, and levels of education:

  • An undergraduate dissertation is typically 8,000–15,000 words
  • A master’s dissertation is typically 12,000–50,000 words
  • A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

References should be included in your text whenever you use words, ideas, or information from a source. A source can be anything from a book or journal article to a website or YouTube video.

If you don’t acknowledge your sources, you can get in trouble for plagiarism .

Your university should tell you which referencing style to follow. If you’re unsure, check with a supervisor. Commonly used styles include:

  • Harvard referencing , the most commonly used style in UK universities.
  • MHRA , used in humanities subjects.
  • APA , used in the social sciences.
  • Vancouver , used in biomedicine.
  • OSCOLA , used in law.

Your university may have its own referencing style guide.

If you are allowed to choose which style to follow, we recommend Harvard referencing, as it is a straightforward and widely used style.

To avoid plagiarism , always include a reference when you use words, ideas or information from a source. This shows that you are not trying to pass the work of others off as your own.

You must also properly quote or paraphrase the source. If you’re not sure whether you’ve done this correctly, you can use the Scribbr Plagiarism Checker to find and correct any mistakes.

In Harvard style , when you quote directly from a source that includes page numbers, your in-text citation must include a page number. For example: (Smith, 2014, p. 33).

You can also include page numbers to point the reader towards a passage that you paraphrased . If you refer to the general ideas or findings of the source as a whole, you don’t need to include a page number.

When you want to use a quote but can’t access the original source, you can cite it indirectly. In the in-text citation , first mention the source you want to refer to, and then the source in which you found it. For example:

It’s advisable to avoid indirect citations wherever possible, because they suggest you don’t have full knowledge of the sources you’re citing. Only use an indirect citation if you can’t reasonably gain access to the original source.

In Harvard style referencing , to distinguish between two sources by the same author that were published in the same year, you add a different letter after the year for each source:

  • (Smith, 2019a)
  • (Smith, 2019b)

Add ‘a’ to the first one you cite, ‘b’ to the second, and so on. Do the same in your bibliography or reference list .

To create a hanging indent for your bibliography or reference list :

  • Highlight all the entries
  • Click on the arrow in the bottom-right corner of the ‘Paragraph’ tab in the top menu.
  • In the pop-up window, under ‘Special’ in the ‘Indentation’ section, use the drop-down menu to select ‘Hanging’.
  • Then close the window with ‘OK’.

Though the terms are sometimes used interchangeably, there is a difference in meaning:

  • A reference list only includes sources cited in the text – every entry corresponds to an in-text citation .
  • A bibliography also includes other sources which were consulted during the research but not cited.

It’s important to assess the reliability of information found online. Look for sources from established publications and institutions with expertise (e.g. peer-reviewed journals and government agencies).

The CRAAP test (currency, relevance, authority, accuracy, purpose) can aid you in assessing sources, as can our list of credible sources . You should generally avoid citing websites like Wikipedia that can be edited by anyone – instead, look for the original source of the information in the “References” section.

You can generally omit page numbers in your in-text citations of online sources which don’t have them. But when you quote or paraphrase a specific passage from a particularly long online source, it’s useful to find an alternate location marker.

For text-based sources, you can use paragraph numbers (e.g. ‘para. 4’) or headings (e.g. ‘under “Methodology”’). With video or audio sources, use a timestamp (e.g. ‘10:15’).

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you still should acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

The acknowledgements are generally included at the very beginning of your thesis or dissertation, directly after the title page and before the abstract .

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

You may acknowledge God in your thesis or dissertation acknowledgements , but be sure to follow academic convention by also thanking the relevant members of academia, as well as family, colleagues, and friends who helped you.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract   in the table of contents.

To automatically insert a table of contents in Microsoft Word, follow these steps:

  • Apply heading styles throughout the document.
  • In the references section in the ribbon, locate the Table of Contents group.
  • Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
  • Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction.

An abbreviation is a shortened version of an existing word, such as Dr for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

Your dissertation sometimes contains a list of abbreviations .

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like UK or PC), then you can just use the abbreviated version straight away.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation, you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimising confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations you used in your thesis or dissertation. It should appear at the beginning of your document, immediately after your table of contents . It should always be in alphabetical order.

Fishbone diagrams have a few different names that are used interchangeably, including herringbone diagram, cause-and-effect diagram, and Ishikawa diagram.

These are all ways to refer to the same thing– a problem-solving approach that uses a fish-shaped diagram to model possible root causes of problems and troubleshoot solutions.

Fishbone diagrams (also called herringbone diagrams, cause-and-effect diagrams, and Ishikawa diagrams) are most popular in fields of quality management. They are also commonly used in nursing and healthcare, or as a brainstorming technique for students.

Some synonyms and near synonyms of among include:

  • In the company of
  • In the middle of
  • Surrounded by

Some synonyms and near synonyms of between  include:

  • In the space separating
  • In the time separating

In spite of   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s always used in a subordinate clause to contrast with the information given in the main clause of a sentence (e.g., ‘Amy continued to watch TV, in spite of the time’).

Despite   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s used in a subordinate clause to contrast with information given in the main clause of a sentence (e.g., ‘Despite the stress, Joe loves his job’).

‘Log in’ is a phrasal verb meaning ‘connect to an electronic device, system, or app’. The preposition ‘to’ is often used directly after the verb; ‘in’ and ‘to’ should be written as two separate words (e.g., ‘ log in to the app to update privacy settings’).

‘Log into’ is sometimes used instead of ‘log in to’, but this is generally considered incorrect (as is ‘login to’).

Some synonyms and near synonyms of ensure include:

  • Make certain

Some synonyms and near synonyms of assure  include:

Rest assured is an expression meaning ‘you can be certain’ (e.g., ‘Rest assured, I will find your cat’). ‘Assured’ is the adjectival form of the verb assure , meaning ‘convince’ or ‘persuade’.

Some synonyms and near synonyms for council include:

There are numerous synonyms and near synonyms for the two meanings of counsel :

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarise text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarising tool , and grammar checker , which are designed specifically for these purposes.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalisation, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

The Scribbr Knowledge Base is a collection of free resources to help you succeed in academic research, writing, and citation. Every week, we publish helpful step-by-step guides, clear examples, simple templates, engaging videos, and more.

The Knowledge Base is for students at all levels. Whether you’re writing your first essay, working on your bachelor’s or master’s dissertation, or getting to grips with your PhD research, we’ve got you covered.

As well as the Knowledge Base, Scribbr provides many other tools and services to support you in academic writing and citation:

  • Create your citations and manage your reference list with our free Reference Generators in APA and MLA style.
  • Scan your paper for in-text citation errors and inconsistencies with our innovative APA Citation Checker .
  • Avoid accidental plagiarism with our reliable Plagiarism Checker .
  • Polish your writing and get feedback on structure and clarity with our Proofreading & Editing services .

Yes! We’re happy for educators to use our content, and we’ve even adapted some of our articles into ready-made lecture slides .

You are free to display, distribute, and adapt Scribbr materials in your classes or upload them in private learning environments like Blackboard. We only ask that you credit Scribbr for any content you use.

We’re always striving to improve the Knowledge Base. If you have an idea for a topic we should cover, or you notice a mistake in any of our articles, let us know by emailing [email protected] .

The consequences of plagiarism vary depending on the type of plagiarism and the context in which it occurs. For example, submitting a whole paper by someone else will have the most severe consequences, while accidental citation errors are considered less serious.

If you’re a student, then you might fail the course, be suspended or expelled, or be obligated to attend a workshop on plagiarism. It depends on whether it’s your first offence or you’ve done it before.

As an academic or professional, plagiarising seriously damages your reputation. You might also lose your research funding or your job, and you could even face legal consequences for copyright infringement.

Paraphrasing without crediting the original author is a form of plagiarism , because you’re presenting someone else’s ideas as if they were your own.

However, paraphrasing is not plagiarism if you correctly reference the source . This means including an in-text referencing and a full reference , formatted according to your required citation style (e.g., Harvard , Vancouver ).

As well as referencing your source, make sure that any paraphrased text is completely rewritten in your own words.

Accidental plagiarism is one of the most common examples of plagiarism . Perhaps you forgot to cite a source, or paraphrased something a bit too closely. Maybe you can’t remember where you got an idea from, and aren’t totally sure if it’s original or not.

These all count as plagiarism, even though you didn’t do it on purpose. When in doubt, make sure you’re citing your sources . Also consider running your work through a plagiarism checker tool prior to submission, which work by using advanced database software to scan for matches between your text and existing texts.

Scribbr’s Plagiarism Checker takes less than 10 minutes and can help you turn in your paper with confidence.

The accuracy depends on the plagiarism checker you use. Per our in-depth research , Scribbr is the most accurate plagiarism checker. Many free plagiarism checkers fail to detect all plagiarism or falsely flag text as plagiarism.

Plagiarism checkers work by using advanced database software to scan for matches between your text and existing texts. Their accuracy is determined by two factors: the algorithm (which recognises the plagiarism) and the size of the database (with which your document is compared).

To avoid plagiarism when summarising an article or other source, follow these two rules:

  • Write the summary entirely in your own words by   paraphrasing the author’s ideas.
  • Reference the source with an in-text citation and a full reference so your reader can easily find the original text.

Plagiarism can be detected by your professor or readers if the tone, formatting, or style of your text is different in different parts of your paper, or if they’re familiar with the plagiarised source.

Many universities also use   plagiarism detection software like Turnitin’s, which compares your text to a large database of other sources, flagging any similarities that come up.

It can be easier than you think to commit plagiarism by accident. Consider using a   plagiarism checker prior to submitting your essay to ensure you haven’t missed any citations.

Some examples of plagiarism include:

  • Copying and pasting a Wikipedia article into the body of an assignment
  • Quoting a source without including a citation
  • Not paraphrasing a source properly (e.g. maintaining wording too close to the original)
  • Forgetting to cite the source of an idea

The most surefire way to   avoid plagiarism is to always cite your sources . When in doubt, cite!

Global plagiarism means taking an entire work written by someone else and passing it off as your own. This can include getting someone else to write an essay or assignment for you, or submitting a text you found online as your own work.

Global plagiarism is one of the most serious types of plagiarism because it involves deliberately and directly lying about the authorship of a work. It can have severe consequences for students and professionals alike.

Verbatim plagiarism means copying text from a source and pasting it directly into your own document without giving proper credit.

If the structure and the majority of the words are the same as in the original source, then you are committing verbatim plagiarism. This is the case even if you delete a few words or replace them with synonyms.

If you want to use an author’s exact words, you need to quote the original source by putting the copied text in quotation marks and including an   in-text citation .

Patchwork plagiarism , also called mosaic plagiarism, means copying phrases, passages, or ideas from various existing sources and combining them to create a new text. This includes slightly rephrasing some of the content, while keeping many of the same words and the same structure as the original.

While this type of plagiarism is more insidious than simply copying and pasting directly from a source, plagiarism checkers like Turnitin’s can still easily detect it.

To avoid plagiarism in any form, remember to reference your sources .

Yes, reusing your own work without citation is considered self-plagiarism . This can range from resubmitting an entire assignment to reusing passages or data from something you’ve handed in previously.

Self-plagiarism often has the same consequences as other types of plagiarism . If you want to reuse content you wrote in the past, make sure to check your university’s policy or consult your professor.

If you are reusing content or data you used in a previous assignment, make sure to cite yourself. You can cite yourself the same way you would cite any other source: simply follow the directions for the citation style you are using.

Keep in mind that reusing prior content can be considered self-plagiarism , so make sure you ask your instructor or consult your university’s handbook prior to doing so.

Most institutions have an internal database of previously submitted student assignments. Turnitin can check for self-plagiarism by comparing your paper against this database. If you’ve reused parts of an assignment you already submitted, it will flag any similarities as potential plagiarism.

Online plagiarism checkers don’t have access to your institution’s database, so they can’t detect self-plagiarism of unpublished work. If you’re worried about accidentally self-plagiarising, you can use Scribbr’s Self-Plagiarism Checker to upload your unpublished documents and check them for similarities.

Plagiarism has serious consequences and can be illegal in certain scenarios.

While most of the time plagiarism in an undergraduate setting is not illegal, plagiarism or self-plagiarism in a professional academic setting can lead to legal action, including copyright infringement and fraud. Many scholarly journals do not allow you to submit the same work to more than one journal, and if you do not credit a coauthor, you could be legally defrauding them.

Even if you aren’t breaking the law, plagiarism can seriously impact your academic career. While the exact consequences of plagiarism vary by institution and severity, common consequences include a lower grade, automatically failing a course, academic suspension or probation, and even expulsion.

Self-plagiarism means recycling work that you’ve previously published or submitted as an assignment. It’s considered academic dishonesty to present something as brand new when you’ve already gotten credit and perhaps feedback for it in the past.

If you want to refer to ideas or data from previous work, be sure to cite yourself.

Academic integrity means being honest, ethical, and thorough in your academic work. To maintain academic integrity, you should avoid misleading your readers about any part of your research and refrain from offences like plagiarism and contract cheating, which are examples of academic misconduct.

Academic dishonesty refers to deceitful or misleading behavior in an academic setting. Academic dishonesty can occur intentionally or unintentionally, and it varies in severity.

It can encompass paying for a pre-written essay, cheating on an exam, or committing plagiarism . It can also include helping others cheat, copying a friend’s homework answers, or even pretending to be sick to miss an exam.

Academic dishonesty doesn’t just occur in a classroom setting, but also in research and other academic-adjacent fields.

Consequences of academic dishonesty depend on the severity of the offence and your institution’s policy. They can range from a warning for a first offence to a failing grade in a course to expulsion from your university.

For those in certain fields, such as nursing, engineering, or lab sciences, not learning fundamentals properly can directly impact the health and safety of others. For those working in academia or research, academic dishonesty impacts your professional reputation, leading others to doubt your future work.

Academic dishonesty can be intentional or unintentional, ranging from something as simple as claiming to have read something you didn’t to copying your neighbour’s answers on an exam.

You can commit academic dishonesty with the best of intentions, such as helping a friend cheat on a paper. Severe academic dishonesty can include buying a pre-written essay or the answers to a multiple-choice test, or falsifying a medical emergency to avoid taking a final exam.

Plagiarism means presenting someone else’s work as your own without giving proper credit to the original author. In academic writing, plagiarism involves using words, ideas, or information from a source without including a citation .

Plagiarism can have serious consequences , even when it’s done accidentally. To avoid plagiarism, it’s important to keep track of your sources and cite them correctly.

Common knowledge does not need to be cited. However, you should be extra careful when deciding what counts as common knowledge.

Common knowledge encompasses information that the average educated reader would accept as true without needing the extra validation of a source or citation.

Common knowledge should be widely known, undisputed, and easily verified. When in doubt, always cite your sources.

Most online plagiarism checkers only have access to public databases, whose software doesn’t allow you to compare two documents for plagiarism.

However, in addition to our Plagiarism Checker , Scribbr also offers an Self-Plagiarism Checker . This is an add-on tool that lets you compare your paper with unpublished or private documents. This way you can rest assured that you haven’t unintentionally plagiarised or self-plagiarised .

Compare two sources for plagiarism

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The research methods you use depend on the type of data you need to answer your research question .

  • If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
  • If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
  • If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

  • Prepare and organise your data.
  • Review and explore your data.
  • Develop a data coding system.
  • Assign codes to the data.
  • Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

There are five common approaches to qualitative research :

  • Grounded theory involves collecting data in order to develop new theories.
  • Ethnography involves immersing yourself in a group or organisation to understand its culture.
  • Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
  • Phenomenological research involves investigating phenomena through people’s lived experiences.
  • Action research links theory and practice in several cycles to drive innovative changes.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

Triangulation in research means using multiple datasets, methods, theories and/or investigators to address a research question. It’s a research strategy that can help you enhance the validity and credibility of your findings.

Triangulation is mainly used in qualitative research , but it’s also commonly applied in quantitative research . Mixed methods research always uses triangulation.

These are four of the most common mixed methods designs :

  • Convergent parallel: Quantitative and qualitative data are collected at the same time and analysed separately. After both analyses are complete, compare your results to draw overall conclusions. 
  • Embedded: Quantitative and qualitative data are collected at the same time, but within a larger quantitative or qualitative design. One type of data is secondary to the other.
  • Explanatory sequential: Quantitative data is collected and analysed first, followed by qualitative data. You can use this design if you think your qualitative data will explain and contextualise your quantitative findings.
  • Exploratory sequential: Qualitative data is collected and analysed first, followed by quantitative data. You can use this design if you think the quantitative data will confirm or validate your qualitative findings.

An observational study could be a good fit for your research if your research question is based on things you observe. If you have ethical, logistical, or practical concerns that make an experimental design challenging, consider an observational study. Remember that in an observational study, it is critical that there be no interference or manipulation of the research subjects. Since it’s not an experiment, there are no control or treatment groups either.

The key difference between observational studies and experiments is that, done correctly, an observational study will never influence the responses or behaviours of participants. Experimental designs will have a treatment condition applied to at least a portion of participants.

Exploratory research explores the main aspects of a new or barely researched question.

Explanatory research explains the causes and effects of an already widely researched question.

Experimental designs are a set of procedures that you plan in order to examine the relationship between variables that interest you.

To design a successful experiment, first identify:

  • A testable hypothesis
  • One or more independent variables that you will manipulate
  • One or more dependent variables that you will measure

When designing the experiment, first decide:

  • How your variable(s) will be manipulated
  • How you will control for any potential confounding or lurking variables
  • How many subjects you will include
  • How you will assign treatments to your subjects

There are four main types of triangulation :

  • Data triangulation : Using data from different times, spaces, and people
  • Investigator triangulation : Involving multiple researchers in collecting or analysing data
  • Theory triangulation : Using varying theoretical perspectives in your research
  • Methodological triangulation : Using different methodologies to approach the same topic

Triangulation can help:

  • Reduce bias that comes from using a single method, theory, or investigator
  • Enhance validity by approaching the same topic with different tools
  • Establish credibility by giving you a complete picture of the research problem

But triangulation can also pose problems:

  • It’s time-consuming and labour-intensive, often involving an interdisciplinary team.
  • Your results may be inconsistent or even contradictory.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word ‘between’ means that you’re comparing different conditions between groups, while the word ‘within’ means you’re comparing different conditions within the same group.

A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference between this and a true experiment is that the groups are not randomly assigned.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomisation. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment .

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity  as they can use real-world interventions instead of artificial laboratory settings.

Within-subjects designs have many potential threats to internal validity , but they are also very statistically powerful .

Advantages:

  • Only requires small samples
  • Statistically powerful
  • Removes the effects of individual differences on the outcomes

Disadvantages:

  • Internal validity threats reduce the likelihood of establishing a direct relationship between variables
  • Time-related effects, such as growth, can influence the outcomes
  • Carryover effects mean that the specific order of different treatments affect the outcomes

Yes. Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.

In a factorial design, multiple independent variables are tested.

If you test two variables, each level of one independent variable is combined with each level of the other independent variable to create different conditions.

While a between-subjects design has fewer threats to internal validity , it also requires more participants for high statistical power than a within-subjects design .

  • Prevents carryover effects of learning and fatigue.
  • Shorter study duration.
  • Needs larger samples for high power.
  • Uses more resources to recruit participants, administer sessions, cover costs, etc.
  • Individual differences may be an alternative explanation for results.

Samples are used to make inferences about populations . Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable.

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling , systematic sampling , stratified sampling , and cluster sampling .

In non-probability sampling , the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling , voluntary response sampling, purposive sampling , snowball sampling , and quota sampling .

In multistage sampling , or multistage cluster sampling, you draw a sample from a population using smaller and smaller groups at each stage.

This method is often used to collect data from a large, geographically spread group of people in national surveys, for example. You take advantage of hierarchical groupings (e.g., from county to city to neighbourhood) to create a sample that’s less expensive and time-consuming to collect data from.

Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others.

Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population . Each member of the population has an equal chance of being selected. Data are then collected from as large a percentage as possible of this random subset.

The American Community Survey  is an example of simple random sampling . In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity . However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling , because it is difficult to ensure that your clusters properly represent the population as a whole.

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

  • In single-stage sampling , you collect data from every unit within the selected clusters.
  • In double-stage sampling , you select a random sample of units from within the clusters.
  • In multi-stage sampling , you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample.

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.

In multistage sampling , you can use probability or non-probability sampling methods.

For a probability sample, you have to probability sampling at every stage. You can mix it up by using simple random sampling , systematic sampling , or stratified sampling to select units at different stages, depending on what is applicable and relevant to your study.

Multistage sampling can simplify data collection when you have large, geographically spread samples, and you can obtain a probability sample without a complete sampling frame.

But multistage sampling may not lead to a representative sample, and larger samples are needed for multistage samples to achieve the statistical properties of simple random samples .

In stratified sampling , researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment).

Once divided, each subgroup is randomly sampled using another probability sampling method .

You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance ) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.

Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 × 5 = 15 subgroups.

There are three key steps in systematic sampling :

  • Define and list your population , ensuring that it is not ordered in a cyclical or periodic order.
  • Decide on your sample size and calculate your interval, k , by dividing your population by your target sample size.
  • Choose every k th member of the population as your sample.

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling .

Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.

A statistic refers to measures about the sample , while a parameter refers to measures about the population .

A sampling error is the difference between a population parameter and a sample statistic .

There are eight threats to internal validity : history, maturation, instrumentation, testing, selection bias , regression to the mean, social interaction, and attrition .

Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.

Attrition bias is a threat to internal validity . In experiments, differential rates of attrition between treatment and control groups can skew results.

This bias can affect the relationship between your independent and dependent variables . It can make variables appear to be correlated when they are not, or vice versa.

The external validity of a study is the extent to which you can generalise your findings to different groups of people, situations, and measures.

The two types of external validity are population validity (whether you can generalise to other groups of people) and ecological validity (whether you can generalise to other situations and settings).

There are seven threats to external validity : selection bias , history, experimenter effect, Hawthorne effect , testing effect, aptitude-treatment, and situation effect.

Attrition bias can skew your sample so that your final sample differs significantly from your original sample. Your sample is biased because some groups from your population are underrepresented.

With a biased final sample, you may not be able to generalise your findings to the original population that you sampled from, so your external validity is compromised.

Construct validity is about how well a test measures the concept it was designed to evaluate. It’s one of four types of measurement validity , which includes construct validity, face validity , and criterion validity.

There are two subtypes of construct validity.

  • Convergent validity : The extent to which your measure corresponds to measures of related constructs
  • Discriminant validity: The extent to which your measure is unrelated or negatively related to measures of distinct constructs

When designing or evaluating a measure, construct validity helps you ensure you’re actually measuring the construct you’re interested in. If you don’t have construct validity, you may inadvertently measure unrelated or distinct constructs and lose precision in your research.

Construct validity is often considered the overarching type of measurement validity ,  because it covers all of the other types. You need to have face validity , content validity, and criterion validity to achieve construct validity.

Statistical analyses are often applied to test validity with data from your measures. You test convergent validity and discriminant validity with correlations to see if results from your test are positively or negatively related to those of other established tests.

You can also use regression analyses to assess whether your measure is actually predictive of outcomes that you expect it to predict theoretically. A regression analysis that supports your expectations strengthens your claim of construct validity .

Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.

Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.

Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.

It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.

While experts have a deep understanding of research methods , the people you’re studying can provide you with valuable insights you may have missed otherwise.

There are many different types of inductive reasoning that people use formally or informally.

Here are a few common types:

  • Inductive generalisation : You use observations about a sample to come to a conclusion about the population it came from.
  • Statistical generalisation: You use specific numbers about samples to make statements about populations.
  • Causal reasoning: You make cause-and-effect links between different things.
  • Sign reasoning: You make a conclusion about a correlational relationship between different things.
  • Analogical reasoning: You make a conclusion about something based on its similarities to something else.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

In inductive research , you start by making observations or gathering data. Then, you take a broad scan of your data and search for patterns. Finally, you make general conclusions that you might incorporate into theories.

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It’s usually contrasted with deductive reasoning, where you proceed from general information to specific conclusions.

Inductive reasoning is also called inductive logic or bottom-up reasoning.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning , where you start with specific observations and form general conclusions.

Deductive reasoning is also called deductive logic.

Deductive reasoning is commonly used in scientific research, and it’s especially associated with quantitative research .

In research, you might have come across something called the hypothetico-deductive method . It’s the scientific method of testing hypotheses to check whether your predictions are substantiated by real-world data.

A dependent variable is what changes as a result of the independent variable manipulation in experiments . It’s what you’re interested in measuring, and it ‘depends’ on your independent variable.

In statistics, dependent variables are also called:

  • Response variables (they respond to a change in another variable)
  • Outcome variables (they represent the outcome you want to measure)
  • Left-hand-side variables (they appear on the left-hand side of a regression equation)

An independent variable is the variable you manipulate, control, or vary in an experimental study to explore its effects. It’s called ‘independent’ because it’s not influenced by any other variables in the study.

Independent variables are also called:

  • Explanatory variables (they explain an event or outcome)
  • Predictor variables (they can be used to predict the value of a dependent variable)
  • Right-hand-side variables (they appear on the right-hand side of a regression equation)

A correlation is usually tested for two variables at a time, but you can test correlations between three or more variables.

On graphs, the explanatory variable is conventionally placed on the x -axis, while the response variable is placed on the y -axis.

  • If you have quantitative variables , use a scatterplot or a line graph.
  • If your response variable is categorical, use a scatterplot or a line graph.
  • If your explanatory variable is categorical, use a bar graph.

The term ‘ explanatory variable ‘ is sometimes preferred over ‘ independent variable ‘ because, in real-world contexts, independent variables are often influenced by other variables. This means they aren’t totally independent.

Multiple independent variables may also be correlated with each other, so ‘explanatory variables’ is a more appropriate term.

The difference between explanatory and response variables is simple:

  • An explanatory variable is the expected cause, and it explains the results.
  • A response variable is the expected effect, and it responds to other variables.

There are 4 main types of extraneous variables :

  • Demand characteristics : Environmental cues that encourage participants to conform to researchers’ expectations
  • Experimenter effects : Unintentional actions by researchers that influence study outcomes
  • Situational variables : Eenvironmental variables that alter participants’ behaviours
  • Participant variables : Any characteristic or aspect of a participant’s background that could affect study results

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.

A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.

‘Controlling for a variable’ means measuring extraneous variables and accounting for them statistically to remove their effects on other variables.

Researchers often model control variable data along with independent and dependent variable data in regression analyses and ANCOVAs . That way, you can isolate the control variable’s effects from the relationship between the variables of interest.

Control variables help you establish a correlational or causal relationship between variables by enhancing internal validity .

If you don’t control relevant extraneous variables , they may influence the outcomes of your study, and you may not be able to demonstrate that your results are really an effect of your independent variable .

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

In statistics, ordinal and nominal variables are both considered categorical variables .

Even though ordinal data can sometimes be numerical, not all mathematical operations can be performed on them.

In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalisation .

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control, and randomisation.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomisation , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the supposed cause , while the dependent variable is the supposed effect . A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.

To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables , or even find a causal relationship where none exists.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both.

You want to find out how blood sugar levels are affected by drinking diet cola and regular cola, so you conduct an experiment .

  • The type of cola – diet or regular – is the independent variable .
  • The level of blood sugar that you measure is the dependent variable – it changes depending on the type of cola.

Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results .

Discrete and continuous variables are two types of quantitative variables :

  • Discrete variables represent counts (e.g., the number of objects in a collection).
  • Continuous variables represent measurable amounts (e.g., water volume or weight).

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause , while a dependent variable is the effect .

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

  • The  independent variable  is the amount of nutrients added to the crop field.
  • The  dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design .

Including mediators and moderators in your research helps you go beyond studying a simple relationship between two variables for a fuller picture of the real world. They are important to consider when studying complex correlational or causal relationships.

Mediators are part of the causal pathway of an effect, and they tell you how or why an effect takes place. Moderators usually help you judge the external validity of your study by identifying the limitations of when the relationship between variables holds.

If something is a mediating variable :

  • It’s caused by the independent variable
  • It influences the dependent variable
  • When it’s taken into account, the statistical correlation between the independent and dependent variables is higher than when it isn’t considered

A confounder is a third variable that affects variables of interest and makes them seem related when they are not. In contrast, a mediator is the mechanism of a relationship between two variables: it explains the process by which they are related.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

When conducting research, collecting original data has significant advantages:

  • You can tailor data collection to your specific research aims (e.g., understanding the needs of your consumers or user testing your website).
  • You can control and standardise the process for high reliability and validity (e.g., choosing appropriate measurements and sampling methods ).

However, there are also some drawbacks: data collection can be time-consuming, labour-intensive, and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. They are often quantitative in nature. Structured interviews are best used when:

  • You already have a very clear understanding of your topic. Perhaps significant research has already been conducted, or you have done some prior research yourself, but you already possess a baseline for designing strong structured questions.
  • You are constrained in terms of time or resources and need to analyse your data quickly and efficiently
  • Your research question depends on strong parity between participants, with environmental conditions held constant

More flexible interview options include semi-structured interviews , unstructured interviews , and focus groups .

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

  • You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.
  • Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

  • You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions
  • Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
  • You are seeking descriptive data, and are ready to ask questions that will deepen and contextualise your initial thoughts and hypotheses
  • Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts

The four most common types of interviews are:

  • Structured interviews : The questions are predetermined in both topic and order.
  • Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
  • Unstructured interviews : None of the questions are predetermined.
  • Focus group interviews : The questions are presented to a group instead of one individual.

A focus group is a research method that brings together a small group of people to answer questions in a moderated setting. The group is chosen due to predefined demographic traits, and the questions are designed to shed light on a topic of interest. It is one of four types of interviews .

Social desirability bias is the tendency for interview participants to give responses that will be viewed favourably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias in research can also occur in observations if the participants know they’re being observed. They might alter their behaviour accordingly.

As a rule of thumb, questions related to thoughts, beliefs, and feelings work well in focus groups . Take your time formulating strong questions, paying special attention to phrasing. Be careful to avoid leading questions , which can bias your responses.

Overall, your focus group questions should be:

  • Open-ended and flexible
  • Impossible to answer with ‘yes’ or ‘no’ (questions that start with ‘why’ or ‘how’ are often best)
  • Unambiguous, getting straight to the point while still stimulating discussion
  • Unbiased and neutral

The third variable and directionality problems are two main reasons why correlation isn’t causation .

The third variable problem means that a confounding variable affects both variables to make them seem causally related when they are not.

The directionality problem is when two variables correlate and might actually have a causal relationship, but it’s impossible to conclude which variable causes changes in the other.

Controlled experiments establish causality, whereas correlational studies only show associations between variables.

  • In an experimental design , you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.
  • In a correlational design , you measure variables without manipulating any of them. You can test whether your variables change together, but you can’t be sure that one variable caused a change in another.

In general, correlational research is high in external validity while experimental research is high in internal validity .

A correlation coefficient is a single number that describes the strength and direction of the relationship between your variables.

Different types of correlation coefficients might be appropriate for your data based on their levels of measurement and distributions . The Pearson product-moment correlation coefficient (Pearson’s r ) is commonly used to assess a linear relationship between two quantitative variables.

A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research .

A correlation reflects the strength and/or direction of the association between two or more variables.

  • A positive correlation means that both variables change in the same direction.
  • A negative correlation means that the variables change in opposite directions.
  • A zero correlation means there’s no relationship between the variables.

Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.

The 1970 British Cohort Study , which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study .

Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.

Longitudinal studies and cross-sectional studies are two different types of research design . In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

Cross-sectional studies cannot establish a cause-and-effect relationship or analyse behaviour over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study .

Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data are available for analysis; other times your research question may only require a cross-sectional study to answer it.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

A true experiment (aka a controlled experiment) always includes at least one control group that doesn’t receive the experimental treatment.

However, some experiments use a within-subjects design to test treatments without a control group. In these designs, you usually compare one group’s outcomes before and after a treatment (instead of comparing outcomes between different groups).

For strong internal validity , it’s usually best to include a control group if possible. Without a control group, it’s harder to be certain that the outcome was caused by the experimental treatment and not by other variables.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

In a controlled experiment , all extraneous variables are held constant so that they can’t influence the results. Controlled experiments require:

  • A control group that receives a standard treatment, a fake treatment, or no treatment
  • Random assignment of participants to ensure the groups are equivalent

Depending on your study topic, there are various other methods of controlling variables .

Questionnaires can be self-administered or researcher-administered.

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or by post. All questions are standardised so that all respondents receive the same questions with identical wording.

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

You can organise the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomisation can minimise the bias from order effects.

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

Naturalistic observation is a qualitative research method where you record the behaviours of your research subjects in real-world settings. You avoid interfering or influencing anything in a naturalistic observation.

You can think of naturalistic observation as ‘people watching’ with a purpose.

Naturalistic observation is a valuable tool because of its flexibility, external validity , and suitability for topics that can’t be studied in a lab setting.

The downsides of naturalistic observation include its lack of scientific control , ethical considerations , and potential for bias from observers and subjects.

You can use several tactics to minimise observer bias .

  • Use masking (blinding) to hide the purpose of your study from all observers.
  • Triangulate your data with different data collection methods or sources.
  • Use multiple observers and ensure inter-rater reliability.
  • Train your observers to make sure data is consistently recorded between them.
  • Standardise your observation procedures to make sure they are structured and clear.

The observer-expectancy effect occurs when researchers influence the results of their own study through interactions with participants.

Researchers’ own beliefs and expectations about the study results may unintentionally influence participants through demand characteristics .

Observer bias occurs when a researcher’s expectations, opinions, or prejudices influence what they perceive or record in a study. It usually affects studies when observers are aware of the research aims or hypotheses. This type of research bias is also called detection bias or ascertainment bias .

Data cleaning is necessary for valid and appropriate analyses. Dirty data contain inconsistencies or errors , but cleaning your data helps you minimise or resolve these.

Without data cleaning, you could end up with a Type I or II error in your conclusion. These types of erroneous conclusions can be practically significant with important consequences, because they lead to misplaced investments or missed opportunities.

Data cleaning involves spotting and resolving potential data inconsistencies or errors to improve your data quality. An error is any value (e.g., recorded weight) that doesn’t reflect the true value (e.g., actual weight) of something that’s being measured.

In this process, you review, analyse, detect, modify, or remove ‘dirty’ data to make your dataset ‘clean’. Data cleaning is also called data cleansing or data scrubbing.

Data cleaning takes place between data collection and data analyses. But you can use some methods even before collecting data.

For clean data, you should start by designing measures that collect valid data. Data validation at the time of data entry or collection helps you minimize the amount of data cleaning you’ll need to do.

After data collection, you can use data standardisation and data transformation to clean your data. You’ll also deal with any missing values, outliers, and duplicate values.

Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors.

Dirty data can come from any part of the research process, including poor research design , inappropriate measurement materials, or flawed data entry.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalisability of your results, while random assignment improves the internal validity of your study.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a die to randomly assign participants to groups.

Exploratory research is often used when the issue you’re studying is new or when the data collection process is challenging for some reason.

You can use exploratory research if you have a general idea or a specific question that you want to study but there is no preexisting knowledge or paradigm with which to study it.

Exploratory research is a methodology approach that explores research questions that have not previously been studied in depth. It is often used when the issue you’re studying is new, or the data collection process is challenging in some way.

Explanatory research is used to investigate how or why a phenomenon occurs. Therefore, this type of research is often one of the first stages in the research process , serving as a jumping-off point for future research.

Explanatory research is a research method used to investigate how or why something occurs when only a small amount of information is available pertaining to that topic. It can help you increase your understanding of a given topic.

Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment .

Blinding is important to reduce bias (e.g., observer bias , demand characteristics ) and ensure a study’s internal validity .

If participants know whether they are in a control or treatment group , they may adjust their behaviour in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.

  • In a single-blind study , only the participants are blinded.
  • In a double-blind study , both participants and experimenters are blinded.
  • In a triple-blind study , the assignment is hidden not only from participants and experimenters, but also from the researchers analysing the data.

Many academic fields use peer review , largely to determine whether a manuscript is suitable for publication. Peer review enhances the credibility of the published manuscript.

However, peer review is also common in non-academic settings. The United Nations, the European Union, and many individual nations use peer review to evaluate grant applications. It is also widely used in medical and health-related fields as a teaching or quality-of-care measure.

Peer assessment is often used in the classroom as a pedagogical tool. Both receiving feedback and providing it are thought to enhance the learning process, helping students think critically and collaboratively.

Peer review can stop obviously problematic, falsified, or otherwise untrustworthy research from being published. It also represents an excellent opportunity to get feedback from renowned experts in your field.

It acts as a first defence, helping you ensure your argument is clear and that there are no gaps, vague terms, or unanswered questions for readers who weren’t involved in the research process.

Peer-reviewed articles are considered a highly credible source due to this stringent process they go through before publication.

In general, the peer review process follows the following steps:

  • First, the author submits the manuscript to the editor.
  • Reject the manuscript and send it back to author, or
  • Send it onward to the selected peer reviewer(s)
  • Next, the peer review process occurs. The reviewer provides feedback, addressing any major or minor issues with the manuscript, and gives their advice regarding what edits should be made.
  • Lastly, the edited manuscript is sent back to the author. They input the edits, and resubmit it to the editor for publication.

Peer review is a process of evaluating submissions to an academic journal. Utilising rigorous criteria, a panel of reviewers in the same subject area decide whether to accept each submission for publication.

For this reason, academic journals are often considered among the most credible sources you can use in a research project – provided that the journal itself is trustworthy and well regarded.

Anonymity means you don’t know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations .

You can only guarantee anonymity by not collecting any personally identifying information – for example, names, phone numbers, email addresses, IP addresses, physical characteristics, photos, or videos.

You can keep data confidential by using aggregate information in your research report, so that you only refer to groups of participants rather than individuals.

Research misconduct means making up or falsifying data, manipulating data analyses, or misrepresenting results in research reports. It’s a form of academic fraud.

These actions are committed intentionally and can have serious consequences; research misconduct is not a simple mistake or a point of disagreement but a serious ethical failure.

Research ethics matter for scientific integrity, human rights and dignity, and collaboration between science and society. These principles make sure that participation in studies is voluntary, informed, and safe.

Ethical considerations in research are a set of principles that guide your research designs and practices. These principles include voluntary participation, informed consent, anonymity, confidentiality, potential for harm, and results communication.

Scientists and researchers must always adhere to a certain code of conduct when collecting data from others .

These considerations protect the rights of research participants, enhance research validity , and maintain scientific integrity.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The two main types of social desirability bias are:

  • Self-deceptive enhancement (self-deception): The tendency to see oneself in a favorable light without realizing it.
  • Impression managemen t (other-deception): The tendency to inflate one’s abilities or achievement in order to make a good impression on other people.

Demand characteristics are aspects of experiments that may give away the research objective to participants. Social desirability bias occurs when participants automatically try to respond in ways that make them seem likeable in a study, even if it means misrepresenting how they truly feel.

Participants may use demand characteristics to infer social norms or experimenter expectancies and act in socially desirable ways, so you should try to control for demand characteristics wherever possible.

Response bias refers to conditions or factors that take place during the process of responding to surveys, affecting the responses. One type of response bias is social desirability bias .

When your population is large in size, geographically dispersed, or difficult to contact, it’s necessary to use a sampling method .

This allows you to gather information from a smaller part of the population, i.e. the sample, and make accurate statements by using statistical analysis. A few sampling methods include simple random sampling , convenience sampling , and snowball sampling .

Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous , so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous , as units share characteristics.

Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population .

A sampling frame is a list of every member in the entire population . It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.

Convenience sampling and quota sampling are both non-probability sampling methods. They both use non-random criteria like availability, geographical proximity, or expert knowledge to recruit study participants.

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.

In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection , using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.

Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.

On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.

Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.

The main difference is that in stratified sampling, you draw a random sample from each subgroup ( probability sampling ). In quota sampling you select a predetermined number or proportion of units, in a non-random manner ( non-probability sampling ).

Snowball sampling is best used in the following cases:

  • If there is no sampling frame available (e.g., people with a rare disease)
  • If the population of interest is hard to access or locate (e.g., people experiencing homelessness)
  • If the research focuses on a sensitive topic (e.g., extra-marital affairs)

Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones. 

Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias .

Snowball sampling is a non-probability sampling method , where there is not an equal chance for every member of the population to be included in the sample .

This means that you cannot use inferential statistics and make generalisations – often the goal of quantitative research . As such, a snowball sample is not representative of the target population, and is usually a better fit for qualitative research .

Snowball sampling is a non-probability sampling method . Unlike probability sampling (which involves some form of random selection ), the initial individuals selected to be studied are the ones who recruit new participants.

Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.

Reproducibility and replicability are related terms.

  • Reproducing research entails reanalysing the existing data in the same manner.
  • Replicating (or repeating ) the research entails reconducting the entire analysis, including the collection of new data . 
  • A successful reproduction shows that the data analyses were conducted in a fair and honest manner.
  • A successful replication shows that the reliability of the results is high.

The reproducibility and replicability of a study can be ensured by writing a transparent, detailed method section and using clear, unambiguous language.

Convergent validity and discriminant validity are both subtypes of construct validity . Together, they help you evaluate whether a test measures the concept it was designed to measure.

  • Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
  • Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related

You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.

Construct validity has convergent and discriminant subtypes. They assist determine if a test measures the intended notion.

Content validity shows you how accurately a test or other measurement method taps  into the various aspects of the specific construct you are researching.

In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.

The higher the content validity, the more accurate the measurement of the construct.

If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.

Construct validity refers to how well a test measures the concept (or construct) it was designed to measure. Assessing construct validity is especially important when you’re researching concepts that can’t be quantified and/or are intangible, like introversion. To ensure construct validity your test should be based on known indicators of introversion ( operationalisation ).

On the other hand, content validity assesses how well the test represents all aspects of the construct. If some aspects are missing or irrelevant parts are included, the test has low content validity.

Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.

When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.

For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).

On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analysing whether each one covers the aspects that the test was designed to cover.

A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.

  • Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity .

Criterion validity and construct validity are both types of measurement validity . In other words, they both show you how accurately a method measures something.

While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.

Construct validity is often considered the overarching type of measurement validity . You need to have face validity , content validity , and criterion validity in order to achieve construct validity.

Attrition refers to participants leaving a study. It always happens to some extent – for example, in randomised control trials for medical research.

Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group . As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased .

Criterion validity evaluates how well a test measures the outcome it was designed to measure. An outcome can be, for example, the onset of a disease.

Criterion validity consists of two subtypes depending on the time at which the two measures (the criterion and your test) are obtained:

  • Concurrent validity is a validation strategy where the the scores of a test and the criterion are obtained at the same time
  • Predictive validity is a validation strategy where the criterion variables are measured after the scores of the test

Validity tells you how accurately a method measures what it was designed to measure. There are 4 main types of validity :

  • Construct validity : Does the test measure the construct it was designed to measure?
  • Face validity : Does the test appear to be suitable for its objectives ?
  • Content validity : Does the test cover all relevant parts of the construct it aims to measure.
  • Criterion validity : Do the results accurately measure the concrete outcome they are designed to measure?

Convergent validity shows how much a measure of one construct aligns with other measures of the same or related constructs .

On the other hand, concurrent validity is about how a measure matches up to some known criterion or gold standard, which can be another measure.

Although both types of validity are established by calculating the association or correlation between a test score and another variable , they represent distinct validation methods.

The purpose of theory-testing mode is to find evidence in order to disprove, refine, or support a theory. As such, generalisability is not the aim of theory-testing mode.

Due to this, the priority of researchers in theory-testing mode is to eliminate alternative causes for relationships between variables . In other words, they prioritise internal validity over external validity , including ecological validity .

Inclusion and exclusion criteria are typically presented and discussed in the methodology section of your thesis or dissertation .

Inclusion and exclusion criteria are predominantly used in non-probability sampling . In purposive sampling and snowball sampling , restrictions apply as to who can be included in the sample .

Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.

Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

  • Budget constraints or any specifics of grant funding
  • Your proposed timeline and duration
  • Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
  • Any inclusion and exclusion criteria
  • Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

To make quantitative observations , you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

Quantitative observations involve measuring or counting something and expressing the result in numerical form, while qualitative observations involve describing something in non-numerical terms, such as its appearance, texture, or color.

The Scribbr Reference Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Reference Generator in our publicly accessible repository on Github .

To paraphrase effectively, don’t just take the original sentence and swap out some of the words for synonyms. Instead, try:

  • Reformulating the sentence (e.g., change active to passive , or start from a different point)
  • Combining information from multiple sentences into one
  • Leaving out information from the original that isn’t relevant to your point
  • Using synonyms where they don’t distort the meaning

The main point is to ensure you don’t just copy the structure of the original text, but instead reformulate the idea in your own words.

Plagiarism means using someone else’s words or ideas and passing them off as your own. Paraphrasing means putting someone else’s ideas into your own words.

So when does paraphrasing count as plagiarism?

  • Paraphrasing is plagiarism if you don’t properly credit the original author.
  • Paraphrasing is plagiarism if your text is too close to the original wording (even if you cite the source). If you directly copy a sentence or phrase, you should quote it instead.
  • Paraphrasing  is not plagiarism if you put the author’s ideas completely into your own words and properly reference the source .

To present information from other sources in academic writing , it’s best to paraphrase in most cases. This shows that you’ve understood the ideas you’re discussing and incorporates them into your text smoothly.

It’s appropriate to quote when:

  • Changing the phrasing would distort the meaning of the original text
  • You want to discuss the author’s language choices (e.g., in literary analysis )
  • You’re presenting a precise definition
  • You’re looking in depth at a specific claim

A quote is an exact copy of someone else’s words, usually enclosed in quotation marks and credited to the original author or speaker.

Every time you quote a source , you must include a correctly formatted in-text citation . This looks slightly different depending on the citation style .

For example, a direct quote in APA is cited like this: ‘This is a quote’ (Streefkerk, 2020, p. 5).

Every in-text citation should also correspond to a full reference at the end of your paper.

In scientific subjects, the information itself is more important than how it was expressed, so quoting should generally be kept to a minimum. In the arts and humanities, however, well-chosen quotes are often essential to a good paper.

In social sciences, it varies. If your research is mainly quantitative , you won’t include many quotes, but if it’s more qualitative , you may need to quote from the data you collected .

As a general guideline, quotes should take up no more than 5–10% of your paper. If in doubt, check with your instructor or supervisor how much quoting is appropriate in your field.

If you’re quoting from a text that paraphrases or summarises other sources and cites them in parentheses , APA  recommends retaining the citations as part of the quote:

  • Smith states that ‘the literature on this topic (Jones, 2015; Sill, 2019; Paulson, 2020) shows no clear consensus’ (Smith, 2019, p. 4).

Footnote or endnote numbers that appear within quoted text should be omitted.

If you want to cite an indirect source (one you’ve only seen quoted in another source), either locate the original source or use the phrase ‘as cited in’ in your citation.

A block quote is a long quote formatted as a separate ‘block’ of text. Instead of using quotation marks , you place the quote on a new line, and indent the entire quote to mark it apart from your own words.

APA uses block quotes for quotes that are 40 words or longer.

A credible source should pass the CRAAP test  and follow these guidelines:

  • The information should be up to date and current.
  • The author and publication should be a trusted authority on the subject you are researching.
  • The sources the author cited should be easy to find, clear, and unbiased.
  • For a web source, the URL and layout should signify that it is trustworthy.

Common examples of primary sources include interview transcripts , photographs, novels, paintings, films, historical documents, and official statistics.

Anything you directly analyze or use as first-hand evidence can be a primary source, including qualitative or quantitative data that you collected yourself.

Common examples of secondary sources include academic books, journal articles , reviews, essays , and textbooks.

Anything that summarizes, evaluates or interprets primary sources can be a secondary source. If a source gives you an overview of background information or presents another researcher’s ideas on your topic, it is probably a secondary source.

To determine if a source is primary or secondary, ask yourself:

  • Was the source created by someone directly involved in the events you’re studying (primary), or by another researcher (secondary)?
  • Does the source provide original information (primary), or does it summarize information from other sources (secondary)?
  • Are you directly analyzing the source itself (primary), or only using it for background information (secondary)?

Some types of sources are nearly always primary: works of art and literature, raw statistical data, official documents and records, and personal communications (e.g. letters, interviews ). If you use one of these in your research, it is probably a primary source.

Primary sources are often considered the most credible in terms of providing evidence for your argument, as they give you direct evidence of what you are researching. However, it’s up to you to ensure the information they provide is reliable and accurate.

Always make sure to properly cite your sources to avoid plagiarism .

A fictional movie is usually a primary source. A documentary can be either primary or secondary depending on the context.

If you are directly analysing some aspect of the movie itself – for example, the cinematography, narrative techniques, or social context – the movie is a primary source.

If you use the movie for background information or analysis about your topic – for example, to learn about a historical event or a scientific discovery – the movie is a secondary source.

Whether it’s primary or secondary, always properly cite the movie in the citation style you are using. Learn how to create an MLA movie citation or an APA movie citation .

Articles in newspapers and magazines can be primary or secondary depending on the focus of your research.

In historical studies, old articles are used as primary sources that give direct evidence about the time period. In social and communication studies, articles are used as primary sources to analyse language and social relations (for example, by conducting content analysis or discourse analysis ).

If you are not analysing the article itself, but only using it for background information or facts about your topic, then the article is a secondary source.

In academic writing , there are three main situations where quoting is the best choice:

  • To analyse the author’s language (e.g., in a literary analysis essay )
  • To give evidence from primary sources
  • To accurately present a precise definition or argument

Don’t overuse quotes; your own voice should be dominant. If you just want to provide information from a source, it’s usually better to paraphrase or summarise .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

  • Your instructor requires one, or
  • Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

  • Your anticipated title
  • Your abstract
  • Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

A theoretical framework can sometimes be integrated into a  literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

  • To help potential readers determine the relevance of your paper for their own research.
  • To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

Avoid citing sources in your abstract . There are two reasons for this:

  • The abstract should focus on your original research, not on the work of others.
  • The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

  • Researchability
  • Feasibility and specificity
  • Relevance and originality

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

A noun is a word that represents a person, thing, concept, or place (e.g., ‘John’, ‘house’, ‘affinity’, ‘river’). Most sentences contain at least one noun or pronoun .

Nouns are often, but not always, preceded by an article (‘the’, ‘a’, or ‘an’) and/or another determiner such as an adjective.

There are many ways to categorize nouns into various types, and the same noun can fall into multiple categories or even change types depending on context.

Some of the main types of nouns are:

  • Common nouns and proper nouns
  • Countable and uncountable nouns
  • Concrete and abstract nouns
  • Collective nouns
  • Possessive nouns
  • Attributive nouns
  • Appositive nouns
  • Generic nouns

Pronouns are words like ‘I’, ‘she’, and ‘they’ that are used in a similar way to nouns . They stand in for a noun that has already been mentioned or refer to yourself and other people.

Pronouns can function just like nouns as the head of a noun phrase and as the subject or object of a verb. However, pronouns change their forms (e.g., from ‘I’ to ‘me’) depending on the grammatical context they’re used in, whereas nouns usually don’t.

Common nouns are words for types of things, people, and places, such as ‘dog’, ‘professor’, and ‘city’. They are not capitalised and are typically used in combination with articles and other determiners.

Proper nouns are words for specific things, people, and places, such as ‘Max’, ‘Dr Prakash’, and ‘London’. They are always capitalised and usually aren’t combined with articles and other determiners.

A proper adjective is an adjective that was derived from a proper noun and is therefore capitalised .

Proper adjectives include words for nationalities, languages, and ethnicities (e.g., ‘Japanese’, ‘Inuit’, ‘French’) and words derived from people’s names (e.g., ‘Bayesian’, ‘Orwellian’).

The names of seasons (e.g., ‘spring’) are treated as common nouns in English and therefore not capitalised . People often assume they are proper nouns, but this is an error.

The names of days and months, however, are capitalised since they’re treated as proper nouns in English (e.g., ‘Wednesday’, ‘January’).

No, as a general rule, academic concepts, disciplines, theories, models, etc. are treated as common nouns , not proper nouns , and therefore not capitalised . For example, ‘five-factor model of personality’ or ‘analytic philosophy’.

However, proper nouns that appear within the name of an academic concept (such as the name of the inventor) are capitalised as usual. For example, ‘Darwin’s theory of evolution’ or ‘ Student’s t table ‘.

Collective nouns are most commonly treated as singular (e.g., ‘the herd is grazing’), but usage differs between US and UK English :

  • In US English, it’s standard to treat all collective nouns as singular, even when they are plural in appearance (e.g., ‘The Rolling Stones is …’). Using the plural form is usually seen as incorrect.
  • In UK English, collective nouns can be treated as singular or plural depending on context. It’s quite common to use the plural form, especially when the noun looks plural (e.g., ‘The Rolling Stones are …’).

The plural of “crisis” is “crises”. It’s a loanword from Latin and retains its original Latin plural noun form (similar to “analyses” and “bases”). It’s wrong to write “crisises”.

For example, you might write “Several crises destabilized the regime.”

Normally, the plural of “fish” is the same as the singular: “fish”. It’s one of a group of irregular plural nouns in English that are identical to the corresponding singular nouns (e.g., “moose”, “sheep”). For example, you might write “The fish scatter as the shark approaches.”

If you’re referring to several species of fish, though, the regular plural “fishes” is often used instead. For example, “The aquarium contains many different fishes , including trout and carp.”

The correct plural of “octopus” is “octopuses”.

People often write “octopi” instead because they assume that the plural noun is formed in the same way as Latin loanwords such as “fungus/fungi”. But “octopus” actually comes from Greek, where its original plural is “octopodes”. In English, it instead has the regular plural form “octopuses”.

For example, you might write “There are four octopuses in the aquarium.”

The plural of “moose” is the same as the singular: “moose”. It’s one of a group of plural nouns in English that are identical to the corresponding singular nouns. So it’s wrong to write “mooses”.

For example, you might write “There are several moose in the forest.”

Bias in research affects the validity and reliability of your findings, leading to false conclusions and a misinterpretation of the truth. This can have serious implications in areas like medical research where, for example, a new form of treatment may be evaluated.

Observer bias occurs when the researcher’s assumptions, views, or preconceptions influence what they see and record in a study, while actor–observer bias refers to situations where respondents attribute internal factors (e.g., bad character) to justify other’s behaviour and external factors (difficult circumstances) to justify the same behaviour in themselves.

Response bias is a general term used to describe a number of different conditions or factors that cue respondents to provide inaccurate or false answers during surveys or interviews . These factors range from the interviewer’s perceived social position or appearance to the the phrasing of questions in surveys.

Nonresponse bias occurs when the people who complete a survey are different from those who did not, in ways that are relevant to the research topic. Nonresponse can happen either because people are not willing or not able to participate.

In research, demand characteristics are cues that might indicate the aim of a study to participants. These cues can lead to participants changing their behaviors or responses based on what they think the research is about.

Demand characteristics are common problems in psychology experiments and other social science studies because they can bias your research findings.

Demand characteristics are a type of extraneous variable that can affect the outcomes of the study. They can invalidate studies by providing an alternative explanation for the results.

These cues may nudge participants to consciously or unconsciously change their responses, and they pose a threat to both internal and external validity . You can’t be sure that your independent variable manipulation worked, or that your findings can be applied to other people or settings.

You can control demand characteristics by taking a few precautions in your research design and materials.

Use these measures:

  • Deception: Hide the purpose of the study from participants
  • Between-groups design : Give each participant only one independent variable treatment
  • Double-blind design : Conceal the assignment of groups from participants and yourself
  • Implicit measures: Use indirect or hidden measurements for your variables

Some attrition is normal and to be expected in research. However, the type of attrition is important because systematic research bias can distort your findings. Attrition bias can lead to inaccurate results because it affects internal and/or external validity .

To avoid attrition bias , applying some of these measures can help you reduce participant dropout (attrition) by making it easy and appealing for participants to stay.

  • Provide compensation (e.g., cash or gift cards) for attending every session
  • Minimise the number of follow-ups as much as possible
  • Make all follow-ups brief, flexible, and convenient for participants
  • Send participants routine reminders to schedule follow-ups
  • Recruit more participants than you need for your sample (oversample)
  • Maintain detailed contact information so you can get in touch with participants even if they move

If you have a small amount of attrition bias , you can use a few statistical methods to try to make up for this research bias .

Multiple imputation involves using simulations to replace the missing data with likely values. Alternatively, you can use sample weighting to make up for the uneven balance of participants in your sample.

Placebos are used in medical research for new medication or therapies, called clinical trials. In these trials some people are given a placebo, while others are given the new medication being tested.

The purpose is to determine how effective the new medication is: if it benefits people beyond a predefined threshold as compared to the placebo, it’s considered effective.

Although there is no definite answer to what causes the placebo effect , researchers propose a number of explanations such as the power of suggestion, doctor-patient interaction, classical conditioning, etc.

Belief bias and confirmation bias are both types of cognitive bias that impact our judgment and decision-making.

Confirmation bias relates to how we perceive and judge evidence. We tend to seek out and prefer information that supports our preexisting beliefs, ignoring any information that contradicts those beliefs.

Belief bias describes the tendency to judge an argument based on how plausible the conclusion seems to us, rather than how much evidence is provided to support it during the course of the argument.

Positivity bias is phenomenon that occurs when a person judges individual members of a group positively, even when they have negative impressions or judgments of the group as a whole. Positivity bias is closely related to optimism bias , or the e xpectation that things will work out well, even if rationality suggests that problems are inevitable in life.

Perception bias is a problem because it prevents us from seeing situations or people objectively. Rather, our expectations, beliefs, or emotions interfere with how we interpret reality. This, in turn, can cause us to misjudge ourselves or others. For example, our prejudices can interfere with whether we perceive people’s faces as friendly or unfriendly.

There are many ways to categorize adjectives into various types. An adjective can fall into one or more of these categories depending on how it is used.

Some of the main types of adjectives are:

  • Attributive adjectives
  • Predicative adjectives
  • Comparative adjectives
  • Superlative adjectives
  • Coordinate adjectives
  • Appositive adjectives
  • Compound adjectives
  • Participial adjectives
  • Proper adjectives
  • Denominal adjectives
  • Nominal adjectives

Cardinal numbers (e.g., one, two, three) can be placed before a noun to indicate quantity (e.g., one apple). While these are sometimes referred to as ‘numeral adjectives ‘, they are more accurately categorised as determiners or quantifiers.

Proper adjectives are adjectives formed from a proper noun (i.e., the name of a specific person, place, or thing) that are used to indicate origin. Like proper nouns, proper adjectives are always capitalised (e.g., Newtonian, Marxian, African).

The cost of proofreading depends on the type and length of text, the turnaround time, and the level of services required. Most proofreading companies charge per word or page, while freelancers sometimes charge an hourly rate.

For proofreading alone, which involves only basic corrections of typos and formatting mistakes, you might pay as little as £0.01 per word, but in many cases, your text will also require some level of editing , which costs slightly more.

It’s often possible to purchase combined proofreading and editing services and calculate the price in advance based on your requirements.

Then and than are two commonly confused words . In the context of ‘better than’, you use ‘than’ with an ‘a’.

  • Julie is better than Jesse.
  • I’d rather spend my time with you than with him.
  • I understand Eoghan’s point of view better than Claudia’s.

Use to and used to are commonly confused words . In the case of ‘used to do’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

  • I used to do laundry once a week.
  • They used to do each other’s hair.
  • We used to do the dishes every day .

There are numerous synonyms and near synonyms for the various meanings of “ favour ”:

There are numerous synonyms and near synonyms for the two meanings of “ favoured ”:

No one (two words) is an indefinite pronoun meaning ‘nobody’. People sometimes mistakenly write ‘noone’, but this is incorrect and should be avoided. ‘No-one’, with a hyphen, is also acceptable in UK English .

Nobody and no one are both indefinite pronouns meaning ‘no person’. They can be used interchangeably (e.g., ‘nobody is home’ means the same as ‘no one is home’).

Some synonyms and near synonyms of  every time include:

  • Without exception

‘Everytime’ is sometimes used to mean ‘each time’ or ‘whenever’. However, this is incorrect and should be avoided. The correct phrase is every time   (two words).

Yes, the conjunction because is a compound word , but one with a long history. It originates in Middle English from the preposition “bi” (“by”) and the noun “cause”. Over time, the open compound “bi cause” became the closed compound “because”, which we use today.

Though it’s spelled this way now, the verb “be” is not one of the words that makes up “because”.

Yes, today is a compound word , but a very old one. It wasn’t originally formed from the preposition “to” and the noun “day”; rather, it originates from their Old English equivalents, “tō” and “dæġe”.

In the past, it was sometimes written as a hyphenated compound: “to-day”. But the hyphen is no longer included; it’s always “today” now (“to day” is also wrong).

IEEE citation format is defined by the Institute of Electrical and Electronics Engineers and used in their publications.

It’s also a widely used citation style for students in technical fields like electrical and electronic engineering, computer science, telecommunications, and computer engineering.

An IEEE in-text citation consists of a number in brackets at the relevant point in the text, which points the reader to the right entry in the numbered reference list at the end of the paper. For example, ‘Smith [1] states that …’

A location marker such as a page number is also included within the brackets when needed: ‘Smith [1, p. 13] argues …’

The IEEE reference page consists of a list of references numbered in the order they were cited in the text. The title ‘References’ appears in bold at the top, either left-aligned or centered.

The numbers appear in square brackets on the left-hand side of the page. The reference entries are indented consistently to separate them from the numbers. Entries are single-spaced, with a normal paragraph break between them.

If you cite the same source more than once in your writing, use the same number for all of the IEEE in-text citations for that source, and only include it on the IEEE reference page once. The source is numbered based on the first time you cite it.

For example, the fourth source you cite in your paper is numbered [4]. If you cite it again later, you still cite it as [4]. You can cite different parts of the source each time by adding page numbers [4, p. 15].

A verb is a word that indicates a physical action (e.g., ‘drive’), a mental action (e.g., ‘think’) or a state of being (e.g., ‘exist’). Every sentence contains a verb.

Verbs are almost always used along with a noun or pronoun to describe what the noun or pronoun is doing.

There are many ways to categorize verbs into various types. A verb can fall into one or more of these categories depending on how it is used.

Some of the main types of verbs are:

  • Regular verbs
  • Irregular verbs
  • Transitive verbs
  • Intransitive verbs
  • Dynamic verbs
  • Stative verbs
  • Linking verbs
  • Auxiliary verbs
  • Modal verbs
  • Phrasal verbs

Regular verbs are verbs whose simple past and past participle are formed by adding the suffix ‘-ed’ (e.g., ‘walked’).

Irregular verbs are verbs that form their simple past and past participles in some way other than by adding the suffix ‘-ed’ (e.g., ‘sat’).

The indefinite articles a and an are used to refer to a general or unspecified version of a noun (e.g., a house). Which indefinite article you use depends on the pronunciation of the word that follows it.

  • A is used for words that begin with a consonant sound (e.g., a bear).
  • An is used for words that begin with a vowel sound (e.g., an eagle).

Indefinite articles can only be used with singular countable nouns . Like definite articles, they are a type of determiner .

Editing and proofreading are different steps in the process of revising a text.

Editing comes first, and can involve major changes to content, structure and language. The first stages of editing are often done by authors themselves, while a professional editor makes the final improvements to grammar and style (for example, by improving sentence structure and word choice ).

Proofreading is the final stage of checking a text before it is published or shared. It focuses on correcting minor errors and inconsistencies (for example, in punctuation and capitalization ). Proofreaders often also check for formatting issues, especially in print publishing.

Whether you’re publishing a blog, submitting a research paper , or even just writing an important email, there are a few techniques you can use to make sure it’s error-free:

  • Take a break : Set your work aside for at least a few hours so that you can look at it with fresh eyes.
  • Proofread a printout : Staring at a screen for too long can cause fatigue – sit down with a pen and paper to check the final version.
  • Use digital shortcuts : Take note of any recurring mistakes (for example, misspelling a particular word, switching between US and UK English , or inconsistently capitalizing a term), and use Find and Replace to fix it throughout the document.

If you want to be confident that an important text is error-free, it might be worth choosing a professional proofreading service instead.

There are many different routes to becoming a professional proofreader or editor. The necessary qualifications depend on the field – to be an academic or scientific proofreader, for example, you will need at least a university degree in a relevant subject.

For most proofreading jobs, experience and demonstrated skills are more important than specific qualifications. Often your skills will be tested as part of the application process.

To learn practical proofreading skills, you can choose to take a course with a professional organisation such as the Society for Editors and Proofreaders . Alternatively, you can apply to companies that offer specialised on-the-job training programmes, such as the Scribbr Academy .

Though they’re pronounced the same, there’s a big difference in meaning between its and it’s .

  • ‘The cat ate its food’.
  • ‘It’s almost Christmas’.

Its and it’s are often confused, but its (without apostrophe) is the possessive form of ‘it’ (e.g., its tail, its argument, its wing). You use ‘its’ instead of ‘his’ and ‘her’ for neuter, inanimate nouns.

Then and than are two commonly confused words with different meanings and grammatical roles.

  • Then (pronounced with a short ‘e’ sound) refers to time. It’s often an adverb , but it can also be used as a noun meaning ‘that time’ and as an adjective referring to a previous status.
  • Than (pronounced with a short ‘a’ sound) is used for comparisons. Grammatically, it usually functions as a conjunction , but sometimes it’s a preposition .

Use to and used to are commonly confused words . In the case of ‘used to be’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

  • I used to be the new coworker.
  • There used to be 4 cookies left.
  • We used to walk to school every day .

A grammar checker is a tool designed to automatically check your text for spelling errors, grammatical issues, punctuation mistakes , and problems with sentence structure . You can check out our analysis of the best free grammar checkers to learn more.

A paraphrasing tool edits your text more actively, changing things whether they were grammatically incorrect or not. It can paraphrase your sentences to make them more concise and readable or for other purposes. You can check out our analysis of the best free paraphrasing tools to learn more.

Some tools available online combine both functions. Others, such as QuillBot , have separate grammar checker and paraphrasing tools. Be aware of what exactly the tool you’re using does to avoid introducing unwanted changes.

Good grammar is the key to expressing yourself clearly and fluently, especially in professional communication and academic writing . Word processors, browsers, and email programs typically have built-in grammar checkers, but they’re quite limited in the kinds of problems they can fix.

If you want to go beyond detecting basic spelling errors, there are many online grammar checkers with more advanced functionality. They can often detect issues with punctuation , word choice, and sentence structure that more basic tools would miss.

Not all of these tools are reliable, though. You can check out our research into the best free grammar checkers to explore the options.

Our research indicates that the best free grammar checker available online is the QuillBot grammar checker .

We tested 10 of the most popular checkers with the same sample text (containing 20 grammatical errors) and found that QuillBot easily outperformed the competition, scoring 18 out of 20, a drastic improvement over the second-place score of 13 out of 20.

It even appeared to outperform the premium versions of other grammar checkers, despite being entirely free.

A teacher’s aide is a person who assists in teaching classes but is not a qualified teacher. Aide is a noun meaning ‘assistant’, so it will always refer to a person.

‘Teacher’s aid’ is incorrect.

A visual aid is an instructional device (e.g., a photo, a chart) that appeals to vision to help you understand written or spoken information. Aid is often placed after an attributive noun or adjective (like ‘visual’) that describes the type of help provided.

‘Visual aide’ is incorrect.

A job aid is an instructional tool (e.g., a checklist, a cheat sheet) that helps you work efficiently. Aid is a noun meaning ‘assistance’. It’s often placed after an adjective or attributive noun (like ‘job’) that describes the specific type of help provided.

‘Job aide’ is incorrect.

There are numerous synonyms for the various meanings of truly :

Yours truly is a phrase used at the end of a formal letter or email. It can also be used (typically in a humorous way) as a pronoun to refer to oneself (e.g., ‘The dinner was cooked by yours truly ‘). The latter usage should be avoided in formal writing.

It’s formed by combining the second-person possessive pronoun ‘yours’ with the adverb ‘ truly ‘.

A pathetic fallacy can be a short phrase or a whole sentence and is often used in novels and poetry. Pathetic fallacies serve multiple purposes, such as:

  • Conveying the emotional state of the characters or the narrator
  • Creating an atmosphere or set the mood of a scene
  • Foreshadowing events to come
  • Giving texture and vividness to a piece of writing
  • Communicating emotion to the reader in a subtle way, by describing the external world.
  • Bringing inanimate objects to life so that they seem more relatable.

AMA citation format is a citation style designed by the American Medical Association. It’s frequently used in the field of medicine.

You may be told to use AMA style for your student papers. You will also have to follow this style if you’re submitting a paper to a journal published by the AMA.

An AMA in-text citation consists of the number of the relevant reference on your AMA reference page , written in superscript 1 at the point in the text where the source is used.

It may also include the page number or range of the relevant material in the source (e.g., the part you quoted 2(p46) ). Multiple sources can be cited at one point, presented as a range or list (with no spaces 3,5–9 ).

An AMA reference usually includes the author’s last name and initials, the title of the source, information about the publisher or the publication it’s contained in, and the publication date. The specific details included, and the formatting, depend on the source type.

References in AMA style are presented in numerical order (numbered by the order in which they were first cited in the text) on your reference page. A source that’s cited repeatedly in the text still only appears once on the reference page.

An AMA in-text citation just consists of the number of the relevant entry on your AMA reference page , written in superscript at the point in the text where the source is referred to.

You don’t need to mention the author of the source in your sentence, but you can do so if you want. It’s not an official part of the citation, but it can be useful as part of a signal phrase introducing the source.

On your AMA reference page , author names are written with the last name first, followed by the initial(s) of their first name and middle name if mentioned.

There’s a space between the last name and the initials, but no space or punctuation between the initials themselves. The names of multiple authors are separated by commas , and the whole list ends in a period, e.g., ‘Andreessen F, Smith PW, Gonzalez E’.

The names of up to six authors should be listed for each source on your AMA reference page , separated by commas . For a source with seven or more authors, you should list the first three followed by ‘ et al’ : ‘Isidore, Gilbert, Gunvor, et al’.

In the text, mentioning author names is optional (as they aren’t an official part of AMA in-text citations ). If you do mention them, though, you should use the first author’s name followed by ‘et al’ when there are three or more : ‘Isidore et al argue that …’

Note that according to AMA’s rather minimalistic punctuation guidelines, there’s no period after ‘et al’ unless it appears at the end of a sentence. This is different from most other styles, where there is normally a period.

Yes, you should normally include an access date in an AMA website citation (or when citing any source with a URL). This is because webpages can change their content over time, so it’s useful for the reader to know when you accessed the page.

When a publication or update date is provided on the page, you should include it in addition to the access date. The access date appears second in this case, e.g., ‘Published June 19, 2021. Accessed August 29, 2022.’

Don’t include an access date when citing a source with a DOI (such as in an AMA journal article citation ).

Some variables have fixed levels. For example, gender and ethnicity are always nominal level data because they cannot be ranked.

However, for other variables, you can choose the level of measurement . For example, income is a variable that can be recorded on an ordinal or a ratio scale:

  • At an ordinal level , you could create 5 income groupings and code the incomes that fall within them from 1–5.
  • At a ratio level , you would record exact numbers for income.

If you have a choice, the ratio level is always preferable because you can analyse data in more ways. The higher the level of measurement, the more precise your data is.

The level at which you measure a variable determines how you can analyse your data.

Depending on the level of measurement , you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis .

Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high:

  • Nominal : the data can only be categorised.
  • Ordinal : the data can be categorised and ranked.
  • Interval : the data can be categorised and ranked, and evenly spaced.
  • Ratio : the data can be categorised, ranked, evenly spaced and has a natural zero.

Statistical analysis is the main method for analyzing quantitative research data . It uses probabilities and models to test predictions about a population from sample data.

The null hypothesis is often abbreviated as H 0 . When the null hypothesis is written using mathematical symbols, it always includes an equality symbol (usually =, but sometimes ≥ or ≤).

The alternative hypothesis is often abbreviated as H a or H 1 . When the alternative hypothesis is written using mathematical symbols, it always includes an inequality symbol (usually ≠, but sometimes < or >).

As the degrees of freedom increase, Student’s t distribution becomes less leptokurtic , meaning that the probability of extreme values decreases. The distribution becomes more and more similar to a standard normal distribution .

When there are only one or two degrees of freedom , the chi-square distribution is shaped like a backwards ‘J’. When there are three or more degrees of freedom, the distribution is shaped like a right-skewed hump. As the degrees of freedom increase, the hump becomes less right-skewed and the peak of the hump moves to the right. The distribution becomes more and more similar to a normal distribution .

‘Looking forward in hearing from you’ is an incorrect version of the phrase looking forward to hearing from you . The phrasal verb ‘looking forward to’ always needs the preposition ‘to’, not ‘in’.

  • I am looking forward in hearing from you.
  • I am looking forward to hearing from you.

Some synonyms and near synonyms for the expression looking forward to hearing from you include:

  • Eagerly awaiting your response
  • Hoping to hear from you soon
  • It would be great to hear back from you
  • Thanks in advance for your reply

People sometimes mistakenly write ‘looking forward to hear from you’, but this is incorrect. The correct phrase is looking forward to hearing from you .

The phrasal verb ‘look forward to’ is always followed by a direct object, the thing you’re looking forward to. As the direct object has to be a noun phrase , it should be the gerund ‘hearing’, not the verb ‘hear’.

  • I’m looking forward to hear from you soon.
  • I’m looking forward to hearing from you soon.

Traditionally, the sign-off Yours sincerely is used in an email message or letter when you are writing to someone you have interacted with before, not a complete stranger.

Yours faithfully is used instead when you are writing to someone you have had no previous correspondence with, especially if you greeted them as ‘ Dear Sir or Madam ’.

Just checking in   is a standard phrase used to start an email (or other message) that’s intended to ask someone for a response or follow-up action in a friendly, informal way. However, it’s a cliché opening that can come across as passive-aggressive, so we recommend avoiding it in favor of a more direct opening like “We previously discussed …”

In a more personal context, you might encounter “just checking in” as part of a longer phrase such as “I’m just checking in to see how you’re doing”. In this case, it’s not asking the other person to do anything but rather asking about their well-being (emotional or physical) in a friendly way.

“Earliest convenience” is part of the phrase at your earliest convenience , meaning “as soon as you can”. 

It’s typically used to end an email in a formal context by asking the recipient to do something when it’s convenient for them to do so.

ASAP is an abbreviation of the phrase “as soon as possible”. 

It’s typically used to indicate a sense of urgency in highly informal contexts (e.g., “Let me know ASAP if you need me to drive you to the airport”).

“ASAP” should be avoided in more formal correspondence. Instead, use an alternative like at your earliest convenience .

Some synonyms and near synonyms of the verb   compose   (meaning “to make up”) are:

People increasingly use “comprise” as a synonym of “compose.” However, this is normally still seen as a mistake, and we recommend avoiding it in your academic writing . “Comprise” traditionally means “to be made up of,” not “to make up.”

Some synonyms and near synonyms of the verb comprise are:

  • Be composed of
  • Be made up of

People increasingly use “comprise” interchangeably with “compose,” meaning that they consider words like “compose,” “constitute,” and “form” to be synonymous with “comprise.” However, this is still normally regarded as an error, and we advise against using these words interchangeably in academic writing .

A fallacy is a mistaken belief, particularly one based on unsound arguments or one that lacks the evidence to support it. Common types of fallacy that may compromise the quality of your research are:

  • Correlation/causation fallacy: Claiming that two events that occur together have a cause-and-effect relationship even though this can’t be proven
  • Ecological fallacy : Making inferences about the nature of individuals based on aggregate data for the group
  • The sunk cost fallacy : Following through on a project or decision because we have already invested time, effort, or money into it, even if the current costs outweigh the benefits
  • The base-rate fallacy : Ignoring base-rate or statistically significant information, such as sample size or the relative frequency of an event, in favor of  less relevant information e.g., pertaining to a single case, or a small number of cases
  • The planning fallacy : Underestimating the time needed to complete a future task, even when we know that similar tasks in the past have taken longer than planned

The planning fallacy refers to people’s tendency to underestimate the resources needed to complete a future task, despite knowing that previous tasks have also taken longer than planned.

For example, people generally tend to underestimate the cost and time needed for construction projects. The planning fallacy occurs due to people’s tendency to overestimate the chances that positive events, such as a shortened timeline, will happen to them. This phenomenon is called optimism bias or positivity bias.

Although both red herring fallacy and straw man fallacy are logical fallacies or reasoning errors, they denote different attempts to “win” an argument. More specifically:

  • A red herring fallacy refers to an attempt to change the subject and divert attention from the original issue. In other words, a seemingly solid but ultimately irrelevant argument is introduced into the discussion, either on purpose or by mistake.
  • A straw man argument involves the deliberate distortion of another person’s argument. By oversimplifying or exaggerating it, the other party creates an easy-to-refute argument and then attacks it.

The red herring fallacy is a problem because it is flawed reasoning. It is a distraction device that causes people to become sidetracked from the main issue and draw wrong conclusions.

Although a red herring may have some kernel of truth, it is used as a distraction to keep our eyes on a different matter. As a result, it can cause us to accept and spread misleading information.

The sunk cost fallacy and escalation of commitment (or commitment bias ) are two closely related terms. However, there is a slight difference between them:

  • Escalation of commitment (aka commitment bias ) is the tendency to be consistent with what we have already done or said we will do in the past, especially if we did so in public. In other words, it is an attempt to save face and appear consistent.
  • Sunk cost fallacy is the tendency to stick with a decision or a plan even when it’s failing. Because we have already invested valuable time, money, or energy, quitting feels like these resources were wasted.

In other words, escalating commitment is a manifestation of the sunk cost fallacy: an irrational escalation of commitment frequently occurs when people refuse to accept that the resources they’ve already invested cannot be recovered. Instead, they insist on more spending to justify the initial investment (and the incurred losses).

When you are faced with a straw man argument , the best way to respond is to draw attention to the fallacy and ask your discussion partner to show how your original statement and their distorted version are the same. Since these are different, your partner will either have to admit that their argument is invalid or try to justify it by using more flawed reasoning, which you can then attack.

The straw man argument is a problem because it occurs when we fail to take an opposing point of view seriously. Instead, we intentionally misrepresent our opponent’s ideas and avoid genuinely engaging with them. Due to this, resorting to straw man fallacy lowers the standard of constructive debate.

A straw man argument is a distorted (and weaker) version of another person’s argument that can easily be refuted (e.g., when a teacher proposes that the class spend more time on math exercises, a parent complains that the teacher doesn’t care about reading and writing).

This is a straw man argument because it misrepresents the teacher’s position, which didn’t mention anything about cutting down on reading and writing. The straw man argument is also known as the straw man fallacy .

A slippery slope argument is not always a fallacy.

  • When someone claims adopting a certain policy or taking a certain action will automatically lead to a series of other policies or actions also being taken, this is a slippery slope argument.
  • If they don’t show a causal connection between the advocated policy and the consequent policies, then they commit a slippery slope fallacy .

There are a number of ways you can deal with slippery slope arguments especially when you suspect these are fallacious:

  • Slippery slope arguments take advantage of the gray area between an initial action or decision and the possible next steps that might lead to the undesirable outcome. You can point out these missing steps and ask your partner to indicate what evidence exists to support the claimed relationship between two or more events.
  • Ask yourself if each link in the chain of events or action is valid. Every proposition has to be true for the overall argument to work, so even if one link is irrational or not supported by evidence, then the argument collapses.
  • Sometimes people commit a slippery slope fallacy unintentionally. In these instances, use an example that demonstrates the problem with slippery slope arguments in general (e.g., by using statements to reach a conclusion that is not necessarily relevant to the initial statement). By attacking the concept of slippery slope arguments you can show that they are often fallacious.

People sometimes confuse cognitive bias and logical fallacies because they both relate to flawed thinking. However, they are not the same:

  • Cognitive bias is the tendency to make decisions or take action in an illogical way because of our values, memory, socialization, and other personal attributes. In other words, it refers to a fixed pattern of thinking rooted in the way our brain works.
  • Logical fallacies relate to how we make claims and construct our arguments in the moment. They are statements that sound convincing at first but can be disproven through logical reasoning.

In other words, cognitive bias refers to an ongoing predisposition, while logical fallacy refers to mistakes of reasoning that occur in the moment.

An appeal to ignorance (ignorance here meaning lack of evidence) is a type of informal logical fallacy .

It asserts that something must be true because it hasn’t been proven false—or that something must be false because it has not yet been proven true.

For example, “unicorns exist because there is no evidence that they don’t.” The appeal to ignorance is also called the burden of proof fallacy .

An ad hominem (Latin for “to the person”) is a type of informal logical fallacy . Instead of arguing against a person’s position, an ad hominem argument attacks the person’s character or actions in an effort to discredit them.

This rhetorical strategy is fallacious because a person’s character, motive, education, or other personal trait is logically irrelevant to whether their argument is true or false.

Name-calling is common in ad hominem fallacy (e.g., “environmental activists are ineffective because they’re all lazy tree-huggers”).

Ad hominem is a persuasive technique where someone tries to undermine the opponent’s argument by personally attacking them.

In this way, one can redirect the discussion away from the main topic and to the opponent’s personality without engaging with their viewpoint. When the opponent’s personality is irrelevant to the discussion, we call it an ad hominem fallacy .

Ad hominem tu quoque (‘you too”) is an attempt to rebut a claim by attacking its proponent on the grounds that they uphold a double standard or that they don’t practice what they preach. For example, someone is telling you that you should drive slowly otherwise you’ll get a speeding ticket one of these days, and you reply “but you used to get them all the time!”

Argumentum ad hominem means “argument to the person” in Latin and it is commonly referred to as ad hominem argument or personal attack. Ad hominem arguments are used in debates to refute an argument by attacking the character of the person making it, instead of the logic or premise of the argument itself.

The opposite of the hasty generalization fallacy is called slothful induction fallacy or appeal to coincidence .

It is the tendency to deny a conclusion even though there is sufficient evidence that supports it. Slothful induction occurs due to our natural tendency to dismiss events or facts that do not align with our personal biases and expectations. For example, a researcher may try to explain away unexpected results by claiming it is just a coincidence.

To avoid a hasty generalization fallacy we need to ensure that the conclusions drawn are well-supported by the appropriate evidence. More specifically:

  • In statistics , if we want to draw inferences about an entire population, we need to make sure that the sample is random and representative of the population . We can achieve that by using a probability sampling method , like simple random sampling or stratified sampling .
  • In academic writing , use precise language and measured phases. Try to avoid making absolute claims, cite specific instances and examples without applying the findings to a larger group.
  • As readers, we need to ask ourselves “does the writer demonstrate sufficient knowledge of the situation or phenomenon that would allow them to make a generalization?”

The hasty generalization fallacy and the anecdotal evidence fallacy are similar in that they both result in conclusions drawn from insufficient evidence. However, there is a difference between the two:

  • The hasty generalization fallacy involves genuinely considering an example or case (i.e., the evidence comes first and then an incorrect conclusion is drawn from this).
  • The anecdotal evidence fallacy (also known as “cherry-picking” ) is knowing in advance what conclusion we want to support, and then selecting the story (or a few stories) that support it. By overemphasizing anecdotal evidence that fits well with the point we are trying to make, we overlook evidence that would undermine our argument.

Although many sources use circular reasoning fallacy and begging the question interchangeably, others point out that there is a subtle difference between the two:

  • Begging the question fallacy occurs when you assume that an argument is true in order to justify a conclusion. If something begs the question, what you are actually asking is, “Is the premise of that argument actually true?” For example, the statement “Snakes make great pets. That’s why we should get a snake” begs the question “are snakes really great pets?”
  • Circular reasoning fallacy on the other hand, occurs when the evidence used to support a claim is just a repetition of the claim itself.  For example, “People have free will because they can choose what to do.”

In other words, we could say begging the question is a form of circular reasoning.

Circular reasoning fallacy uses circular reasoning to support an argument. More specifically, the evidence used to support a claim is just a repetition of the claim itself. For example: “The President of the United States is a good leader (claim), because they are the leader of this country (supporting evidence)”.

An example of a non sequitur is the following statement:

“Giving up nuclear weapons weakened the United States’ military. Giving up nuclear weapons also weakened China. For this reason, it is wrong to try to outlaw firearms in the United States today.”

Clearly there is a step missing in this line of reasoning and the conclusion does not follow from the premise, resulting in a non sequitur fallacy .

The difference between the post hoc fallacy and the non sequitur fallacy is that post hoc fallacy infers a causal connection between two events where none exists, whereas the non sequitur fallacy infers a conclusion that lacks a logical connection to the premise.

In other words, a post hoc fallacy occurs when there is a lack of a cause-and-effect relationship, while a non sequitur fallacy occurs when there is a lack of logical connection.

An example of post hoc fallacy is the following line of reasoning:

“Yesterday I had ice cream, and today I have a terrible stomachache. I’m sure the ice cream caused this.”

Although it is possible that the ice cream had something to do with the stomachache, there is no proof to justify the conclusion other than the order of events. Therefore, this line of reasoning is fallacious.

Post hoc fallacy and hasty generalisation fallacy are similar in that they both involve jumping to conclusions. However, there is a difference between the two:

  • Post hoc fallacy is assuming a cause and effect relationship between two events, simply because one happened after the other.
  • Hasty generalisation fallacy is drawing a general conclusion from a small sample or little evidence.

In other words, post hoc fallacy involves a leap to a causal claim; hasty generalisation fallacy involves a leap to a general proposition.

The fallacy of composition is similar to and can be confused with the hasty generalization fallacy . However, there is a difference between the two:

  • The fallacy of composition involves drawing an inference about the characteristics of a whole or group based on the characteristics of its individual members.
  • The hasty generalization fallacy involves drawing an inference about a population or class of things on the basis of few atypical instances or a small sample of that population or thing.

In other words, the fallacy of composition is using an unwarranted assumption that we can infer something about a whole based on the characteristics of its parts, while the hasty generalization fallacy is using insufficient evidence to draw a conclusion.

The opposite of the fallacy of composition is the fallacy of division . In the fallacy of division, the assumption is that a characteristic which applies to a whole or a group must necessarily apply to the parts or individual members. For example, “Australians travel a lot. Gary is Australian, so he must travel a lot.”

Base rate fallacy can be avoided by following these steps:

  • Avoid making an important decision in haste. When we are under pressure, we are more likely to resort to cognitive shortcuts like the availability heuristic and the representativeness heuristic . Due to this, we are more likely to factor in only current and vivid information, and ignore the actual probability of something happening (i.e., base rate).
  • Take a long-term view on the decision or question at hand. Look for relevant statistical data, which can reveal long-term trends and give you the full picture.
  • Talk to experts like professionals. They are more aware of probabilities related to specific decisions.

Suppose there is a population consisting of 90% psychologists and 10% engineers. Given that you know someone enjoyed physics at school, you may conclude that they are an engineer rather than a psychologist, even though you know that this person comes from a population consisting of far more psychologists than engineers.

When we ignore the rate of occurrence of some trait in a population (the base-rate information) we commit base rate fallacy .

Cost-benefit fallacy is a common error that occurs when allocating sources in project management. It is the fallacy of assuming that cost-benefit estimates are more or less accurate, when in fact they are highly inaccurate and biased. This means that cost-benefit analyses can be useful, but only after the cost-benefit fallacy has been acknowledged and corrected for. Cost-benefit fallacy is a type of base rate fallacy .

In advertising, the fallacy of equivocation is often used to create a pun. For example, a billboard company might advertise their billboards using a line like: “Looking for a sign? This is it!” The word sign has a literal meaning as billboard and a figurative one as a sign from God, the universe, etc.

Equivocation is a fallacy because it is a form of argumentation that is both misleading and logically unsound. When the meaning of a word or phrase shifts in the course of an argument, it causes confusion and also implies that the conclusion (which may be true) does not follow from the premise.

The fallacy of equivocation is an informal logical fallacy, meaning that the error lies in the content of the argument instead of the structure.

Fallacies of relevance are a group of fallacies that occur in arguments when the premises are logically irrelevant to the conclusion. Although at first there seems to be a connection between the premise and the conclusion, in reality fallacies of relevance use unrelated forms of appeal.

For example, the genetic fallacy makes an appeal to the source or origin of the claim in an attempt to assert or refute something.

The ad hominem fallacy and the genetic fallacy are closely related in that they are both fallacies of relevance. In other words, they both involve arguments that use evidence or examples that are not logically related to the argument at hand. However, there is a difference between the two:

  • In the ad hominem fallacy , the goal is to discredit the argument by discrediting the person currently making the argument.
  • In the genetic fallacy , the goal is to discredit the argument by discrediting the history or origin (i.e., genesis) of an argument.

False dilemma fallacy is also known as false dichotomy, false binary, and “either-or” fallacy. It is the fallacy of presenting only two choices, outcomes, or sides to an argument as the only possibilities, when more are available.

The false dilemma fallacy works in two ways:

  • By presenting only two options as if these were the only ones available
  • By presenting two options as mutually exclusive (i.e., only one option can be selected or can be true at a time)

In both cases, by using the false dilemma fallacy, one conceals alternative choices and doesn’t allow others to consider the full range of options. This is usually achieved through an“either-or” construction and polarised, divisive language (“you are either a friend or an enemy”).

The best way to avoid a false dilemma fallacy is to pause and reflect on two points:

  • Are the options presented truly the only ones available ? It could be that another option has been deliberately omitted.
  • Are the options mentioned mutually exclusive ? Perhaps all of the available options can be selected (or be true) at the same time, which shows that they aren’t mutually exclusive. Proving this is called “escaping between the horns of the dilemma.”

Begging the question fallacy is an argument in which you assume what you are trying to prove. In other words, your position and the justification of that position are the same, only slightly rephrased.

For example: “All freshmen should attend college orientation, because all college students should go to such an orientation.”

The complex question fallacy and begging the question fallacy are similar in that they are both based on assumptions. However, there is a difference between them:

  • A complex question fallacy occurs when someone asks a question that presupposes the answer to another question that has not been established or accepted by the other person. For example, asking someone “Have you stopped cheating on tests?”, unless it has previously been established that the person is indeed cheating on tests, is a fallacy.
  • Begging the question fallacy occurs when we assume the very thing as a premise that we’re trying to prove in our conclusion. In other words, the conclusion is used to support the premises, and the premises prove the validity of the conclusion. For example: “God exists because the Bible says so, and the Bible is true because it is the word of God.”

In other words, begging the question is about drawing a conclusion based on an assumption, while a complex question involves asking a question that presupposes the answer to a prior question.

“ No true Scotsman ” arguments aren’t always fallacious. When there is a generally accepted definition of who or what constitutes a group, it’s reasonable to use statements in the form of “no true Scotsman”.

For example, the statement that “no true pacifist would volunteer for military service” is not fallacious, since a pacifist is, by definition, someone who opposes war or violence as a means of settling disputes.

No true Scotsman arguments are fallacious because instead of logically refuting the counterexample, they simply assert that it doesn’t count. In other words, the counterexample is rejected for psychological, but not logical, reasons.

The appeal to purity or no true Scotsman fallacy is an attempt to defend a generalisation about a group from a counterexample by shifting the definition of the group in the middle of the argument. In this way, one can exclude the counterexample as not being “true”, “genuine”, or “pure” enough to be considered as part of the group in question.

To identify an appeal to authority fallacy , you can ask yourself the following questions:

  • Is the authority cited really a qualified expert in this particular area under discussion? For example, someone who has formal education or years of experience can be an expert.
  • Do experts disagree on this particular subject? If that is the case, then for almost any claim supported by one expert there will be a counterclaim that is supported by another expert. If there is no consensus, an appeal to authority is fallacious.
  • Is the authority in question biased? If you suspect that an expert’s prejudice and bias could have influenced their views, then the expert is not reliable and an argument citing this expert will be fallacious.To identify an appeal to authority fallacy, you ask yourself whether the authority cited is a qualified expert in the particular area under discussion.

Appeal to authority is a fallacy when those who use it do not provide any justification to support their argument. Instead they cite someone famous who agrees with their viewpoint, but is not qualified to make reliable claims on the subject.

Appeal to authority fallacy is often convincing because of the effect authority figures have on us. When someone cites a famous person, a well-known scientist, a politician, etc. people tend to be distracted and often fail to critically examine whether the authority figure is indeed an expert in the area under discussion.

The ad populum fallacy is common in politics. One example is the following viewpoint: “The majority of our countrymen think we should have military operations overseas; therefore, it’s the right thing to do.”

This line of reasoning is fallacious, because popular acceptance of a belief or position does not amount to a justification of that belief. In other words, following the prevailing opinion without examining the underlying reasons is irrational.

The ad populum fallacy plays on our innate desire to fit in (known as “bandwagon effect”). If many people believe something, our common sense tells us that it must be true and we tend to accept it. However, in logic, the popularity of a proposition cannot serve as evidence of its truthfulness.

Ad populum (or appeal to popularity) fallacy and appeal to authority fallacy are similar in that they both conflate the validity of a belief with its popular acceptance among a specific group. However there is a key difference between the two:

  • An ad populum fallacy tries to persuade others by claiming that something is true or right because a lot of people think so.
  • An appeal to authority fallacy tries to persuade by claiming a group of experts believe something is true or right, therefore it must be so.

To identify a false cause fallacy , you need to carefully analyse the argument:

  • When someone claims that one event directly causes another, ask if there is sufficient evidence to establish a cause-and-effect relationship. 
  • Ask if the claim is based merely on the chronological order or co-occurrence of the two events. 
  • Consider alternative possible explanations (are there other factors at play that could influence the outcome?).

By carefully analysing the reasoning, considering alternative explanations, and examining the evidence provided, you can identify a false cause fallacy and discern whether a causal claim is valid or flawed.

False cause fallacy examples include: 

  • Believing that wearing your lucky jersey will help your team win 
  • Thinking that everytime you wash your car, it rains
  • Claiming that playing video games causes violent behavior 

In each of these examples, we falsely assume that one event causes another without any proof.

The planning fallacy and procrastination are not the same thing. Although they both relate to time and task management, they describe different challenges:

  • The planning fallacy describes our inability to correctly estimate how long a future task will take, mainly due to optimism bias and a strong focus on the best-case scenario.
  • Procrastination refers to postponing a task, usually by focusing on less urgent or more enjoyable activities. This is due to psychological reasons, like fear of failure.

In other words, the planning fallacy refers to inaccurate predictions about the time we need to finish a task, while procrastination is a deliberate delay due to psychological factors.

A real-life example of the planning fallacy is the construction of the Sydney Opera House in Australia. When construction began in the late 1950s, it was initially estimated that it would be completed in four years at a cost of around $7 million.

Because the government wanted the construction to start before political opposition would stop it and while public opinion was still favorable, a number of design issues had not been carefully studied in advance. Due to this, several problems appeared immediately after the project commenced.

The construction process eventually stretched over 14 years, with the Opera House being completed in 1973 at a cost of over $100 million, significantly exceeding the initial estimates.

An example of appeal to pity fallacy is the following appeal by a student to their professor:

“Professor, please consider raising my grade. I had a terrible semester: my car broke down, my laptop got stolen, and my cat got sick.”

While these circumstances may be unfortunate, they are not directly related to the student’s academic performance.

While both the appeal to pity fallacy and   red herring fallacy can serve as a distraction from the original discussion topic, they are distinct fallacies. More specifically:

  • Appeal to pity fallacy attempts to evoke feelings of sympathy, pity, or guilt in an audience, so that they accept the speaker’s conclusion as truthful.
  • Red herring fallacy attempts to introduce an irrelevant piece of information that diverts the audience’s attention to a different topic.

Both fallacies can be used as a tool of deception. However, they operate differently and serve distinct purposes in arguments.

Argumentum ad misericordiam (Latin for “argument from pity or misery”) is another name for appeal to pity fallacy . It occurs when someone evokes sympathy or guilt in an attempt to gain support for their claim, without providing any logical reasons to support the claim itself. Appeal to pity is a deceptive tactic of argumentation, playing on people’s emotions to sway their opinion.

Yes, it’s quite common to start a sentence with a preposition, and there’s no reason not to do so.

For example, the sentence “ To many, she was a hero” is perfectly grammatical. It could also be rephrased as “She was a hero to  many”, but there’s no particular reason to do so. Both versions are fine.

Some people argue that you shouldn’t end a sentence with a preposition , but that “rule” can also be ignored, since it’s not supported by serious language authorities.

Yes, it’s fine to end a sentence with a preposition . The “rule” against doing so is overwhelmingly rejected by modern style guides and language authorities and is based on the rules of Latin grammar, not English.

Trying to avoid ending a sentence with a preposition often results in very unnatural phrasings. For example, turning “He knows what he’s talking about ” into “He knows about what he’s talking” or “He knows that about which he’s talking” is definitely not an improvement.

No, ChatGPT is not a credible source of factual information and can’t be cited for this purpose in academic writing . While it tries to provide accurate answers, it often gets things wrong because its responses are based on patterns, not facts and data.

Specifically, the CRAAP test for evaluating sources includes five criteria: currency , relevance , authority , accuracy , and purpose . ChatGPT fails to meet at least three of them:

  • Currency: The dataset that ChatGPT was trained on only extends to 2021, making it slightly outdated.
  • Authority: It’s just a language model and is not considered a trustworthy source of factual information.
  • Accuracy: It bases its responses on patterns rather than evidence and is unable to cite its sources .

So you shouldn’t cite ChatGPT as a trustworthy source for a factual claim. You might still cite ChatGPT for other reasons – for example, if you’re writing a paper about AI language models, ChatGPT responses are a relevant primary source .

ChatGPT is an AI language model that was trained on a large body of text from a variety of sources (e.g., Wikipedia, books, news articles, scientific journals). The dataset only went up to 2021, meaning that it lacks information on more recent events.

It’s also important to understand that ChatGPT doesn’t access a database of facts to answer your questions. Instead, its responses are based on patterns that it saw in the training data.

So ChatGPT is not always trustworthy . It can usually answer general knowledge questions accurately, but it can easily give misleading answers on more specialist topics.

Another consequence of this way of generating responses is that ChatGPT usually can’t cite its sources accurately. It doesn’t really know what source it’s basing any specific claim on. It’s best to check any information you get from it against a credible source .

No, it is not possible to cite your sources with ChatGPT . You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.

Instead, use a tool designed for this purpose, like the Scribbr Citation Generator .

But you can use ChatGPT for assignments in other ways, to provide inspiration, feedback, and general writing advice.

GPT  stands for “generative pre-trained transformer”, which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.

The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.

OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.

ChatGPT is owned by OpenAI, the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.

In terms of who owns the content generated by ChatGPT, OpenAI states that it will not claim copyright on this content , and the terms of use state that “you can use Content for any purpose, including commercial purposes such as sale or publication”. This means that you effectively own any content you generate with ChatGPT and can use it for your own purposes.

Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal.

ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.

ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers – encouraging it to make fewer mistakes.

Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivise it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations : because its answers are based on probabilities, they’re not always trustworthy .

OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.

Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.

The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.

ChatGPT conversations are generally used to train future models and to resolve issues/bugs. These chats may be monitored by human AI trainers.

However, users can opt out of having their conversations used for training. In these instances, chats are monitored only for potential abuse.

Yes, using ChatGPT as a conversation partner is a great way to practice a language in an interactive way.

Try using a prompt like this one:

“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”

Yes, there are a variety of ways to use ChatGPT for language learning , including treating it as a conversation partner, asking it for translations, and using it to generate a curriculum or practice exercises.

AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT ) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors , we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.

Because of how AI detectors work , they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.

Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.

You can also manually watch for clues that a text is AI-generated – for example, a very different style from the writer’s usual voice or a generic, overly polite tone.

Our research into the best summary generators (aka summarisers or summarising tools) found that the best summariser available in 2023 is the one offered by QuillBot.

While many summarisers just pick out some sentences from the text, QuillBot generates original summaries that are creative, clear, accurate, and concise. It can summarise texts of up to 1,200 words for free, or up to 6,000 with a premium subscription.

Try the QuillBot summarizer for free

Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognise objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognise objects from new data.

Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favour this specific population over others.

A good ChatGPT prompt (i.e., one that will get you the kinds of responses you want):

  • Gives the tool a role to explain what type of answer you expect from it
  • Is precisely formulated and gives enough context
  • Is free from bias
  • Has been tested and improved by experimenting with the tool

ChatGPT prompts are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.

ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up”. You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs £16 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

You can access ChatGPT by signing up for a free account:

  • Follow this link to the ChatGPT website.
  • Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
  • Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations.

However, publishing ChatGPT outputs may have legal implications , such as copyright infringement.

Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).

However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.

Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.

ChatGPT can sometimes reproduce biases from its training data , since it draws on the text it has “seen” to create plausible responses to your prompts.

For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.

The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts . It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.

Information extraction  refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP) .

For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity 1 ,celebrity 2 ,date) .

The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.

Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.

An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.

A related concept is information extraction , concerned with how to get structured information from unstructured sources.

Yes, you can use ChatGPT to summarise text . This can help you understand complex information more easily, summarise the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summariser , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialised tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Yes, you use ChatGPT to help write your college essay by having it generate feedback on certain aspects of your work (consistency of tone, clarity of structure, etc.).

However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service .

No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.

Furthermore, Passing off AI-generated text as your own work is considered academically dishonest . AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.

However, you can use ChatGPT to help write your college essay during the preparation and revision stages (e.g., for brainstorming ideas and generating feedback).

ChatGPT and other AI writing tools can have unethical uses. These include:

  • Reproducing biases and false information
  • Using ChatGPT to cheat in academic contexts
  • Violating the privacy of others by inputting personal information

However, when used correctly, AI writing tools can be helpful resources for improving your academic writing and research skills. Some ways to use ChatGPT ethically include:

  • Following your institution’s guidelines
  • Critically evaluating outputs
  • Being transparent about how you used the tool

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When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.

However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.

This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.

Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!

After your document has been edited, you will receive an email with a link to download the document.

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It is also possible to accept all changes at once. However, we strongly advise you not to do so for the following reasons:

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If you don’t choose one, your editor will follow the style of English you currently use. If your editor has any questions about this, we will contact you.

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Journalism and communication menu, journalism and communication, five tips for tackling the undergraduate thesis.

Meg Rodgers

By Becky Hoag and Meg Rodgers

Theses aren’t just for graduate students. Many UO School of Journalism and Communication undergrads write theses for the SOJC Honors Program , for Clark’s Honors College or just to gain research experience. Any of them can tell you that thesis-writing takes a lot of work and can be quite daunting.

Wondering how you would even get started on it?

SOJC media studies alum Meg Rodgers ’18 totally understands how you feel. But she made it happen! She spent her senior year writing an undergrad thesis for the Honors College about TV anti-heroines that was selected for the 2018 UO Undergraduate Research Symposium .

Here are a few lessons she learned along the way:

1. Make use of your thesis advisor.

If you don’t have one assigned to you, find one and make that connection as soon as you can.

“They are the experts in their field, and you are learning how to become an expert,” Rodgers said.

She said her advisor, Assistant Professor Erin Hanna, helped her break down her project into doable steps and approach the research process in a smart manner.

2. Dive into the research.

Collect as much knowledge as you can. Even if some of the sources don’t end up in your final reference list, they will all help develop your overall understanding of the topic.

Rodgers found that about one-third of her process was research, one-third was writing and one-third was editing. It might be surprising and a bit nerve-wracking not to write anything down for the first part of the thesis process, but that’s normal. If you start writing too soon, you might find yourself making more assumptions about what you will find, rather than writing about what you actually found.

3. Start citing sources early.

You’ll thank yourself later. Programs like Mendeley or Zotero can help with this. Make sure you know what citation style to use.

4. Break down your thesis into workable sections.

Looking at the whole thing at once can be overwhelming. What are the individual points you want to cover in your paper? Make a list and start checking them off one at a time.

5. Mentally prepare yourself for lots of editing.

Try not to take it personally when your paper gets torn apart. It just means that it’s getting better. Trust the process and be grateful for feedback.

You can do it! And all the work’s definitely worth it. Rodgers found the thesis-writing process helped her learn about her strengths and weaknesses as a researcher and what work environments are best for her. Sometimes the more challenging endeavors can be the most rewarding too.

Becky Hoag is a senior double-majoring in journalism and environmental science (with a marine focus). This is her second year writing for the SOJC Communication Office. This past summer, she worked as an intern at the  KQED science  desk in San Francisco, producing content for the new program about climate change, “ This Moment on Earth .” She is also a science writer for The Daily Emerald and the student-run environmental magazine Envision Magazine , and a web designer/researcher for marine conservation outreach organization Ocean Everblue . She wants to become an environmental/scientific journalist. You can view her work at  beckyhoag.com .

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How Long is a Thesis or Dissertation: College, Grad or PhD

How long is a thesis

How long is a thesis

As a graduate student, you may have heard that you must complete a certain comprehensive project, either a thesis or a dissertation. In this guide, we will explore how long a thesis should be, the best length for a dissertation, and the optimal length for each part of the two.

If you read on to the end, we will also explore their differences to understand how it informs each length.

Both terms have distinct meanings, although they are sometimes used interchangeably and frequently confused.

how long are undergraduate thesis

Structure-wise, both papers have an introduction, a literature review, a body, a conclusion, a bibliography, and an appendix. That aside, both papers have some differences, as we shall see later on in this article.

How Long Should a Thesis be

Before discussing how long a thesis is, it’s critical to understand what it is. A thesis is a paper that marks the end of a study program.

Mostly, there is the undergraduate thesis, a project that marks the end of a bachelor’s degree, and a master’s thesis that marks the end of a master’s program.

A thesis should be around 50 pages long for a bachelor’s degree and 60-100 pages for a Master’s degree. However, the optimal length of a thesis project depends on the faculty’s instructions and the supervising professor’s expectations . The length also depends on the topic’s technicalities and the extent of research done.

How long is a thesis

A master’s thesis project is longer because it is a compilation of all your knowledge obtained in your master’s degree.

It basically allows you to demonstrate your abilities in your chosen field.

Often, graduate schools require students pursuing research-oriented degrees to write a thesis.

This is to demonstrate their practical skills before completing their degrees.

In contrast to undergraduate thesis, which are shorter in length and coverage area, usually less than 60 pages. A master’s theses are lengthy scholarly work allowing you to research a topic deeply.

Then you are required to write, expand the topic, and demonstrate what you have learned throughout the program. This is part of why you must write a thesis for some undergrad in some of the courses.

A Master’s thesis necessitates a large amount of research, which may include conducting interviews, surveys, and gathering information ( both primary and secondary) depending on the subject and field of study.

For this reason, the master’s thesis has between 60 and 100 pages, without including the bibliography. Mostly, the topic and research approach determine the length of the paper.

This means that there is no definite number of pages required. However, your thesis should be long enough to clearly and concisely present all important information.

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How long should a dissertation be.

A dissertation is a complex, in-depth research paper usually written by Ph.D. students. When writing the dissertation, Ph.D. Students are required to create their research, formulate a hypothesis, and conduct the study.

On average, a dissertation should be at least 90 pages at the minimum and 200 pages at the maximum , depending on the guidelines of the faculty and the professor. The optimal length for a dissertation also depends on the depth of the research done, the components of the file, and the level of study.

How long is a dissertation

Most Ph.D. dissertations papers are between 120 to 200 pages on average.

However, as we said earlier, it all depends on factors like the field of study, and methods of data collection, among others.

Unlike a master’s thesis, which is about 100 pages, a dissertation is at least twice this length.

This is because you must develop a completely new concept, study it, research it, and defend it.

In your Ph.D. program, a dissertation allows you the opportunity to bring new knowledge, theories, or practices to your field of study.

The Lengths of Each Part of a Thesis and Dissertation

Factors determining the length of thesis or dissertation.

As we have seen, there is no definite length of a thesis and dissertation. Most of these two important academic documents average 100 to 400 pages. However, several factors determine their length.

rules and regulations

Universities- we all know universities are independent bodies. Also, it’s important to know that each university is different from the other. As a result, the thesis and dissertation length varies depending on the set rules in a certain college or school.

Field of study- some fields of study have rich information, while others have limited information.

For example, you may have much to write about or discover when it comes to science compared to history.

As such, if you are to write a thesis or a dissertation in both fields, one will definitely be longer than the other. Check the time it takes to write a thesis or a dissertation to get more points.

Other factors that affect the length of a thesis or a dissertation include your writing style and the instructor’s specifications. These factors also come into play when it comes to the time taken to defend a thesis or your dissertation.

Tips for the Optimal Length for a Thesis or Dissertation

Instead of writing for length, write for brevity. The goal is to write the smallest feasible document with all of the material needed to describe the study and back up the interpretation. Ensure to avoid irrelevant tangents and excessive repetitions at all costs.

The only repetition required is the main theme. The working hypothesis seeks to be elaborated and proved in your paper.

The theme is developed in the introduction, expanded in the body, and mentioned in the abstract and conclusion.

Here are some tips for writing the right length of thesis and dissertation:

  • Remove any interpretation portion which is only tangentially linked to your new findings. 
  • Use tables to keep track of information that is repeated.
  • Include enough background information for the reader to understand the point of view.
  • Make good use of figure captions.
  • Let the table stand on its own. I.e., do not describe the contents of the figures and/or tables one by one in the text. Instead, highlight the most important patterns, objects, or trends in the figures and tables in the text.
  • Leave out any observations or results in the text that you haven’t provided data.
  • Do not include conclusions that aren’t backed up by your findings.
  • Remove all inconclusive interpretation and discussion portions. 
  • Avoid unnecessary adjectives, prepositional phrases, and adverbs.
  • Make your sentences shorter – avoid nesting clauses or phrases.
  • Avoid idioms and instead use words whose meaning can be looked up in a dictionary.

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Difference between a Thesis and a Dissertation

dissertation vs thesis

The most basic distinction between a thesis and a dissertation is when they are written.

While a thesis is a project completed after a master’s program, a dissertation is completed at the end of doctorate studies.

In a thesis, you present the results of your research to demonstrate that you have a thorough understanding of what you have studied during your master’s program.

On the other hand,  a dissertation is your chance to add new knowledge, theories, or practices to your field while pursuing a doctorate. The goal here is to come up with a completely new concept, develop it, and defend it.

A master’s thesis is similar to the types of research papers you’re used to writing in your bachelor’s studies. It involves conducting research on a topic, analyzing it, and then commenting on your findings and how it applies to your research topic.

The thesis aims to demonstrate your capacity to think critically about and explain a topic in depth.

Furthermore, with a thesis, you typically use this time to elaborate on a topic that is most relevant to your professional area of specialization that you intend to pursue.

In a dissertation, on the other hand, you use other people’s research as an inspiration to help you come up with and prove your own hypothesis, idea, or concept. The majority of the data in a dissertation is credited to you.

Last but not least, these two major works differ greatly in length. The average length of a master’s thesis is at least 100 pages.

On the other hand, a doctoral dissertation should be substantially longer because it includes a lot of history and research information, as well as every element of your research, while explaining how you arrived at the information.

It is a complex piece of scholarly work, and it is likely to be twice or thrice the length of a thesis. To know the difference, check the best length for a thesis paper and see more about it.

Here is a Recap of the Differences

  • While the thesis is completed at the end of your master’s degree program, a dissertation is written at the end of your doctoral degree program.
  • Both documents also vary in length. A thesis should have at least 100 pages, while a doctoral dissertation is longer (over 200 pages)
  • In the thesis, you conduct original research; in the dissertation, you use existing research to help you develop your discovery.
  • For a thesis, you have to add analysis to the existing work, while a dissertation is part of the analysis of the existing work.
  • In comparison to a thesis, a dissertation requires a more thorough study to expand your research in a certain topic.
  • The statements in a thesis and a dissertation are distinct. While a thesis statement explains to readers how you will prove an argument in your research, a dissertation hypothesis defines and clarifies the outcomes you expect from your study. Here, you apply a theory to explore a certain topic.
  • A dissertation allows you to contribute new knowledge to your field of study, while a thesis makes sure you understand what you have studied in your program and how it applies.

A thesis or a dissertation is a difficult document to compile. However, you should not be worried since your school assigns you a dissertation advisor who is a faculty member.

These advisors or supervisors help you find resources and ensure that your proposal is on the right track when you get stuck.

Check out my guide on the differences between a research paper, proposal, and thesis to understand more about these issues.

Josh Jasen working

Josh Jasen or JJ as we fondly call him, is a senior academic editor at Grade Bees in charge of the writing department. When not managing complex essays and academic writing tasks, Josh is busy advising students on how to pass assignments. In his spare time, he loves playing football or walking with his dog around the park.

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How to Write a Thesis or Dissertation Introduction

Published on September 7, 2022 by Tegan George and Shona McCombes. Revised on November 21, 2023.

The introduction is the first section of your thesis or dissertation , appearing right after the table of contents . Your introduction draws your reader in, setting the stage for your research with a clear focus, purpose, and direction on a relevant topic .

Your introduction should include:

  • Your topic, in context: what does your reader need to know to understand your thesis dissertation?
  • Your focus and scope: what specific aspect of the topic will you address?
  • The relevance of your research: how does your work fit into existing studies on your topic?
  • Your questions and objectives: what does your research aim to find out, and how?
  • An overview of your structure: what does each section contribute to the overall aim?

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Table of contents

How to start your introduction, topic and context, focus and scope, relevance and importance, questions and objectives, overview of the structure, thesis introduction example, introduction checklist, other interesting articles, frequently asked questions about introductions.

Although your introduction kicks off your dissertation, it doesn’t have to be the first thing you write — in fact, it’s often one of the very last parts to be completed (just before your abstract ).

It’s a good idea to write a rough draft of your introduction as you begin your research, to help guide you. If you wrote a research proposal , consider using this as a template, as it contains many of the same elements. However, be sure to revise your introduction throughout the writing process, making sure it matches the content of your ensuing sections.

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Begin by introducing your dissertation topic and giving any necessary background information. It’s important to contextualize your research and generate interest. Aim to show why your topic is timely or important. You may want to mention a relevant news item, academic debate, or practical problem.

After a brief introduction to your general area of interest, narrow your focus and define the scope of your research.

You can narrow this down in many ways, such as by:

  • Geographical area
  • Time period
  • Demographics or communities
  • Themes or aspects of the topic

It’s essential to share your motivation for doing this research, as well as how it relates to existing work on your topic. Further, you should also mention what new insights you expect it will contribute.

Start by giving a brief overview of the current state of research. You should definitely cite the most relevant literature, but remember that you will conduct a more in-depth survey of relevant sources in the literature review section, so there’s no need to go too in-depth in the introduction.

Depending on your field, the importance of your research might focus on its practical application (e.g., in policy or management) or on advancing scholarly understanding of the topic (e.g., by developing theories or adding new empirical data). In many cases, it will do both.

Ultimately, your introduction should explain how your thesis or dissertation:

  • Helps solve a practical or theoretical problem
  • Addresses a gap in the literature
  • Builds on existing research
  • Proposes a new understanding of your topic

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how long are undergraduate thesis

Perhaps the most important part of your introduction is your questions and objectives, as it sets up the expectations for the rest of your thesis or dissertation. How you formulate your research questions and research objectives will depend on your discipline, topic, and focus, but you should always clearly state the central aim of your research.

If your research aims to test hypotheses , you can formulate them here. Your introduction is also a good place for a conceptual framework that suggests relationships between variables .

  • Conduct surveys to collect data on students’ levels of knowledge, understanding, and positive/negative perceptions of government policy.
  • Determine whether attitudes to climate policy are associated with variables such as age, gender, region, and social class.
  • Conduct interviews to gain qualitative insights into students’ perspectives and actions in relation to climate policy.

To help guide your reader, end your introduction with an outline  of the structure of the thesis or dissertation to follow. Share a brief summary of each chapter, clearly showing how each contributes to your central aims. However, be careful to keep this overview concise: 1-2 sentences should be enough.

I. Introduction

Human language consists of a set of vowels and consonants which are combined to form words. During the speech production process, thoughts are converted into spoken utterances to convey a message. The appropriate words and their meanings are selected in the mental lexicon (Dell & Burger, 1997). This pre-verbal message is then grammatically coded, during which a syntactic representation of the utterance is built.

Speech, language, and voice disorders affect the vocal cords, nerves, muscles, and brain structures, which result in a distorted language reception or speech production (Sataloff & Hawkshaw, 2014). The symptoms vary from adding superfluous words and taking pauses to hoarseness of the voice, depending on the type of disorder (Dodd, 2005). However, distortions of the speech may also occur as a result of a disease that seems unrelated to speech, such as multiple sclerosis or chronic obstructive pulmonary disease.

This study aims to determine which acoustic parameters are suitable for the automatic detection of exacerbations in patients suffering from chronic obstructive pulmonary disease (COPD) by investigating which aspects of speech differ between COPD patients and healthy speakers and which aspects differ between COPD patients in exacerbation and stable COPD patients.

Checklist: Introduction

I have introduced my research topic in an engaging way.

I have provided necessary context to help the reader understand my topic.

I have clearly specified the focus of my research.

I have shown the relevance and importance of the dissertation topic .

I have clearly stated the problem or question that my research addresses.

I have outlined the specific objectives of the research .

I have provided an overview of the dissertation’s structure .

You've written a strong introduction for your thesis or dissertation. Use the other checklists to continue improving your dissertation.

If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!

Research bias

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The introduction of a research paper includes several key elements:

  • A hook to catch the reader’s interest
  • Relevant background on the topic
  • Details of your research problem

and your problem statement

  • A thesis statement or research question
  • Sometimes an overview of the paper

Don’t feel that you have to write the introduction first. The introduction is often one of the last parts of the research paper you’ll write, along with the conclusion.

This is because it can be easier to introduce your paper once you’ve already written the body ; you may not have the clearest idea of your arguments until you’ve written them, and things can change during the writing process .

Research objectives describe what you intend your research project to accomplish.

They summarize the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.

Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

  • Budget constraints or any specifics of grant funding
  • Your proposed timeline and duration
  • Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
  • Any inclusion and exclusion criteria
  • Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

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Citation guides

All you need to know about citations

How to cite an undergraduate thesis in APA

APA undergraduate thesis citation

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To cite an undergraduate thesis in a reference entry in APA style 6th edition include the following elements:

  • Author(s) of the thesis: Give the last name and initials (e. g. Watson, J. D.) of up to seven authors with the last name preceded by an ampersand (&). For eight or more authors include the first six names followed by an ellipsis (…) and add the last author's name.
  • Year of publication: Give the year in brackets followed by a full stop.
  • Title of the undergraduate thesis: Only the first letter of the first word and proper nouns are capitalized.
  • URL: Give the full URL where the document can be retrieved from.

Here is the basic format for a reference list entry of an undergraduate thesis in APA style 6th edition:

Author(s) of the thesis . ( Year of publication ). Title of the undergraduate thesis (Bachelor's thesis). Retrieved from URL

If the thesis is available from a database, archive or any online platform use the following template:

  • Author(s) of the thesis: Give the last name and initials (e. g. Watson, J. D.) of up to 20 authors with the last name preceded by an ampersand (&). For 21 or more authors include the first 19 names followed by an ellipsis (…) and add the last author's name.
  • Publication number: Give the identification number of the thesis, if available.
  • Name of the degree awarding institution: Give the name of the institution.
  • Name of Platform: Give the name of the database, archive or any platform that holds the thesis.
  • URL: If the thesis was found on a database, omit this element.

Here is the basic format for a reference list entry of an undergraduate thesis in APA style 7th edition:

Author(s) of the thesis . ( Year of publication ). Title of the undergraduate thesis ( Publication number ) [Bachelor's thesis, Name of the degree awarding institution ]. Name of Platform . URL

If the thesis has not been published or is available from a database use the following template:

  • Location: Give the location of the institution. If outside the United States also include the country name.

Author(s) of the thesis . ( Year of publication ). Title of the undergraduate thesis (Unpublished bachelor's thesis). Name of the degree awarding institution , Location .

If the thesis is not published, use the following template:

Author(s) of the thesis . ( Year of publication ). Title of the undergraduate thesis [Unpublished bachelor's thesis]. Name of the degree awarding institution .

APA reference list examples

Take a look at our reference list examples that demonstrate the APA style guidelines for an undergraduate thesis citation in action:

A bachelor's thesis from an online platform

Parekh, P., & Pishchenko, V . ( 2013 ). Factors influencing the choice of bank – An international student perspective ( Bachelor's thesis ). Retrieved from https://www.divaportal.org/smash/get/diva2:653388/FULLTEXT02.pdf
Parekh, P., & Pishchenko, V . ( 2013 ). Factors influencing the choice of bank – An international student perspective [ Bachelor's thesis , Dalarna University ]. Diva Portal . https://www.divaportal.org/smash/get/diva2:653388/FULLTEXT02.pdf

An unpublished undergraduate thesis

Baslow, W . ( 2015 ). The applicability of the qualitative system analysis as decision-making tool in public administration by the example of the municipality Ludwigsburg ( Unpublished undergraduate thesis ). Leuphana University of Lüneburg , Lüneburg, Germany .
Baslow, W . ( 2015 ). The applicability of the qualitative system analysis as decision-making tool in public administration by the example of the municipality Ludwigsburg [ Unpublished undergraduate thesis ]. Leuphana University of Lüneburg .

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This citation style guide is based on the official Publication Manual of the American Psychological Association ( 6 th edition).

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  1. Developing A Thesis

    A good thesis has two parts. It should tell what you plan to argue, and it should "telegraph" how you plan to argue—that is, what particular support for your claim is going where in your essay. Steps in Constructing a Thesis. First, analyze your primary sources. Look for tension, interest, ambiguity, controversy, and/or complication.

  2. I need to write my bachelor thesis in 48 days, which is quite ...

    I have NO idea how long your paper is, but I would say for a longer paper/thesis, it should boil down like this: 40% of your time on research and gathering facts/quotes, 25% of your time on organizing your ideas and quotes into an outline of some form, 35% of your time on writing and editing. That's a rough estimate, but it always worked for me.

  3. My Experience Writing an Undergraduate Thesis

    An undergraduate thesis is usually a 40-60 page paper written under the supervision of a professor, allowing you to explore a topic of your interest in-depth. I primarily decided to write an undergraduate thesis to prepare me for graduate school - it's allowed me to get started on work I might continue in graduate school, hone my research ...

  4. How to write an undergraduate university dissertation

    10 tips for writing an undergraduate dissertation. 1. Select an engaging topic. Choose a subject that aligns with your interests and allows you to showcase the skills and knowledge you have acquired through your degree. 2. Research your supervisor. Undergraduate students will often be assigned a supervisor based on their research specialisms.

  5. What Is a Thesis?

    A thesis statement is a very common component of an essay, particularly in the humanities. It usually comprises 1 or 2 sentences in the introduction of your essay, and should clearly and concisely summarize the central points of your academic essay. A thesis is a long-form piece of academic writing, often taking more than a full semester to ...

  6. Thesis

    Thesis. Your thesis is the central claim in your essay—your main insight or idea about your source or topic. Your thesis should appear early in an academic essay, followed by a logically constructed argument that supports this central claim. A strong thesis is arguable, which means a thoughtful reader could disagree with it and therefore ...

  7. Exploring: How Long is an Undergraduate Thesis?

    Summary. In summary, the average length of an undergraduate thesis typically falls between 10 and 20 double-spaced pages, excluding tables, figures, and references. The thesis should follow the format of a scientific article and fully develop ideas, present data, and discuss the implications of the work.

  8. Honors Theses

    Writing a senior honors thesis, or any major research essay, can seem daunting at first. ... Your departmental administrators of undergraduate studies/honors; Why write an honors thesis? ... (except, in some cases, long excerpts of quoted material), in a 12 point font and a standard font style (e.g., Times New Roman). An honors thesis isn't ...

  9. Senior Thesis Writing Guides

    Senior Thesis Writing Guides. The senior thesis is typically the most challenging writing project undertaken by undergraduate students. The writing guides below aim to introduce students both to the specific methods and conventions of writing original research in their area of concentration and to effective writing process. The senior thesis is ...

  10. How long is a Thesis or dissertation? [the data]

    An undergraduate thesis is likely to be about 20 to 50 pages long. A Master's thesis is likely to be between 30 and 100 pages in length and a PhD dissertation is likely to be between 50 and 450 pages long. In the table below I highlight the typical length of an undergraduate, master's, and PhD. Level of study. Pages. Words.

  11. How long is a dissertation?

    An undergraduate dissertation is typically 8,000-15,000 words. A master's dissertation is typically 12,000-50,000 words. A PhD thesis is typically book-length: 70,000-100,000 words. However, none of these are strict guidelines - your word count may be lower or higher than the numbers stated here. Always check the guidelines provided ...

  12. BS Thesis Guidelines and Timeline

    Submit a 1-2 page (single-spaced) thesis proposal (approved by your thesis adviser) as an assignment on the BIOS 28900 Canvas site by the end of Week 1. Minimally, this proposal should include: the name, e-mail address, and department of your thesis adviser.

  13. What is a thesis

    A thesis typically ranges between 40-80 pages, but its length can vary based on the research topic, institution guidelines, and level of study. 2: How long is a PhD thesis? A PhD thesis usually spans 200-300 pages, though this can vary based on the discipline, complexity of the research, and institutional requirements. 3: How to find thesis topics?

  14. PDF Honors Thesis Guide 2019

    This guide is designed to help you write your Honors Thesis. You should become very familiar with this guide, and return to it throughout the writing process. I have pulled on multiple sources in creating this document,1-4 and you can refer to these sources for greater detail.

  15. Writing a Senior Thesis: Is it Worth it?

    Before coming to Yale, I thought a thesis was the main argument of a paper. I quickly learned that an undergraduate thesis is about fifty times harder and fifty pages longer than any thesis arguments I wrote in high school. At Yale, every senior has some sort of senior requirement, but thesis projects vary by department. Some departments require students to do a semester-long

  16. Senior Thesis & Undergraduate Research

    The senior thesis in History is a year-long project involving considerable primary- and secondary-source research and a good deal of writing; finished theses are expected to be between 60 and 130 pages in length, and to make an original contribution to historical knowledge. The department's senior thesis program is one of the strongest in ...

  17. How long does it take to write a dissertation?

    A PhD thesis takes a longer time, as the thesis is the main focus of the degree. ... In situations where this might be awkward or misleading, such as a long sentence containing multiple quotations, footnotes can also be placed at the end of a clause mid-sentence, ... An undergraduate dissertation is typically 8,000-15,000 words;

  18. Five tips for tackling the undergraduate thesis

    4. Break down your thesis into workable sections. Looking at the whole thing at once can be overwhelming. What are the individual points you want to cover in your paper? Make a list and start checking them off one at a time. 5. Mentally prepare yourself for lots of editing.

  19. How Long is a Thesis or Dissertation: College, Grad or PhD

    A thesis is a paper that marks the end of a study program. Mostly, there is the undergraduate thesis, a project that marks the end of a bachelor's degree, and a master's thesis that marks the end of a master's program. A thesis should be around 50 pages long for a bachelor's degree and 60-100 pages for a Master's degree.

  20. How to Write a Thesis Statement

    Step 2: Write your initial answer. After some initial research, you can formulate a tentative answer to this question. At this stage it can be simple, and it should guide the research process and writing process. The internet has had more of a positive than a negative effect on education.

  21. How to Write an Undergraduate Honors Thesis

    In this article, I share 10 hard-earned pieces of honors thesis wisdom, including how to find a supervisor, choose a topic, and structure your paper. An honors thesis is basically just a long ...

  22. How to Write a Thesis or Dissertation Introduction

    Overview of the structure. To help guide your reader, end your introduction with an outline of the structure of the thesis or dissertation to follow. Share a brief summary of each chapter, clearly showing how each contributes to your central aims. However, be careful to keep this overview concise: 1-2 sentences should be enough.

  23. How to cite an undergraduate thesis in APA

    How to cite an undergraduate thesis in APA. If the thesis is available from a database, archive or any online platform use the following template: Author (s) of the thesis: Give the last name and initials (e. g. Watson, J. D.) of up to 20 authors with the last name preceded by an ampersand (&). For 21 or more authors include the first 19 names ...

  24. GLD: Short-Term Overbought But Long-Term Buy Thesis Intact

    Summary. Gold has broken out and returned almost 14%, keeping pace with the S&P 500 since November. In the short term, the GLD is very overbought and prone to a consolidation/pullback. However, my ...