what is an research assignment

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Online Guide to Writing and Research

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• Online Guide to Writing

The Research Assignment Introduction

When tasked with writing a research paper, you are able to “dig in” to a topic, idea, theme, or question in greater detail.  In your academic career, you will be assigned several assignments that require you to “research” something and then write about it. Sometimes you can choose a topic and sometimes a topic is assigned to you.  

Either way, look at this assignment as an opportunity to learn more about something and to add your voice to the discourse community about said topic. Your professor is assigning you the task to give you a chance to learn more about something and then share that newfound knowledge with the professor and your academic peers.  In this way, you contribute meaningfully to the existing scholarship in that subject area. You are then creating a research space for yourself and for other researchers who may follow you.  

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Table of Contents: Online Guide to Writing

Chapter 1: College Writing

How Does College Writing Differ from Workplace Writing?

What Is College Writing?

Why So Much Emphasis on Writing?

Chapter 2: The Writing Process

Doing Exploratory Research

Getting from Notes to Your Draft

Introduction

Prewriting - Techniques to Get Started - Mining Your Intuition

Prewriting: Targeting Your Audience

Prewriting: Techniques to Get Started

Prewriting: Understanding Your Assignment

Rewriting: Being Your Own Critic

Rewriting: Creating a Revision Strategy

Rewriting: Getting Feedback

Rewriting: The Final Draft

Techniques to Get Started - Outlining

Techniques to Get Started - Using Systematic Techniques

Thesis Statement and Controlling Idea

Writing: Getting from Notes to Your Draft - Freewriting

Writing: Getting from Notes to Your Draft - Summarizing Your Ideas

Writing: Outlining What You Will Write

Chapter 3: Thinking Strategies

A Word About Style, Voice, and Tone

A Word About Style, Voice, and Tone: Style Through Vocabulary and Diction

Critical Strategies and Writing

Critical Strategies and Writing: Analysis

Critical Strategies and Writing: Evaluation

Critical Strategies and Writing: Persuasion

Critical Strategies and Writing: Synthesis

Developing a Paper Using Strategies

Kinds of Assignments You Will Write

Patterns for Presenting Information

Patterns for Presenting Information: Critiques

Patterns for Presenting Information: Discussing Raw Data

Patterns for Presenting Information: General-to-Specific Pattern

Patterns for Presenting Information: Problem-Cause-Solution Pattern

Patterns for Presenting Information: Specific-to-General Pattern

Patterns for Presenting Information: Summaries and Abstracts

Supporting with Research and Examples

Writing Essay Examinations

Writing Essay Examinations: Make Your Answer Relevant and Complete

Writing Essay Examinations: Organize Thinking Before Writing

Writing Essay Examinations: Read and Understand the Question

Chapter 4: The Research Process

Planning and Writing a Research Paper

Planning and Writing a Research Paper: Ask a Research Question

Planning and Writing a Research Paper: Cite Sources

Planning and Writing a Research Paper: Collect Evidence

Planning and Writing a Research Paper: Decide Your Point of View, or Role, for Your Research

Planning and Writing a Research Paper: Draw Conclusions

Planning and Writing a Research Paper: Find a Topic and Get an Overview

Planning and Writing a Research Paper: Manage Your Resources

Planning and Writing a Research Paper: Outline

Planning and Writing a Research Paper: Survey the Literature

Planning and Writing a Research Paper: Work Your Sources into Your Research Writing

Research Resources: Where Are Research Resources Found? - Human Resources

Research Resources: What Are Research Resources?

Research Resources: Where Are Research Resources Found?

Research Resources: Where Are Research Resources Found? - Electronic Resources

Research Resources: Where Are Research Resources Found? - Print Resources

Structuring the Research Paper: Formal Research Structure

Structuring the Research Paper: Informal Research Structure

The Nature of Research

The Research Assignment: How Should Research Sources Be Evaluated?

The Research Assignment: When Is Research Needed?

The Research Assignment: Why Perform Research?

Chapter 5: Academic Integrity

Academic Integrity

Giving Credit to Sources

Giving Credit to Sources: Copyright Laws

Giving Credit to Sources: Documentation

Giving Credit to Sources: Style Guides

Integrating Sources

Practicing Academic Integrity

Practicing Academic Integrity: Keeping Accurate Records

Practicing Academic Integrity: Managing Source Material

Practicing Academic Integrity: Managing Source Material - Paraphrasing Your Source

Practicing Academic Integrity: Managing Source Material - Quoting Your Source

Practicing Academic Integrity: Managing Source Material - Summarizing Your Sources

Types of Documentation

Types of Documentation: Bibliographies and Source Lists

Types of Documentation: Citing World Wide Web Sources

Types of Documentation: In-Text or Parenthetical Citations

Types of Documentation: In-Text or Parenthetical Citations - APA Style

Types of Documentation: In-Text or Parenthetical Citations - CSE/CBE Style

Types of Documentation: In-Text or Parenthetical Citations - Chicago Style

Types of Documentation: In-Text or Parenthetical Citations - MLA Style

Types of Documentation: Note Citations

Chapter 6: Using Library Resources

Finding Library Resources

Chapter 7: Assessing Your Writing

How Is Writing Graded?

How Is Writing Graded?: A General Assessment Tool

The Draft Stage

The Draft Stage: The First Draft

The Draft Stage: The Revision Process and the Final Draft

The Draft Stage: Using Feedback

The Research Stage

Using Assessment to Improve Your Writing

Chapter 8: Other Frequently Assigned Papers

Reviews and Reaction Papers: Article and Book Reviews

Reviews and Reaction Papers: Reaction Papers

Writing Arguments

Writing Arguments: Adapting the Argument Structure

Writing Arguments: Purposes of Argument

Writing Arguments: References to Consult for Writing Arguments

Writing Arguments: Steps to Writing an Argument - Anticipate Active Opposition

Writing Arguments: Steps to Writing an Argument - Determine Your Organization

Writing Arguments: Steps to Writing an Argument - Develop Your Argument

Writing Arguments: Steps to Writing an Argument - Introduce Your Argument

Writing Arguments: Steps to Writing an Argument - State Your Thesis or Proposition

Writing Arguments: Steps to Writing an Argument - Write Your Conclusion

Writing Arguments: Types of Argument

Appendix A: Books to Help Improve Your Writing

Dictionaries

General Style Manuals

Researching on the Internet

Special Style Manuals

Writing Handbooks

Appendix B: Collaborative Writing and Peer Reviewing

Collaborative Writing: Assignments to Accompany the Group Project

Collaborative Writing: Informal Progress Report

Collaborative Writing: Issues to Resolve

Collaborative Writing: Methodology

Collaborative Writing: Peer Evaluation

Collaborative Writing: Tasks of Collaborative Writing Group Members

Collaborative Writing: Writing Plan

General Introduction

Peer Reviewing

Appendix C: Developing an Improvement Plan

Working with Your Instructor’s Comments and Grades

Appendix D: Writing Plan and Project Schedule

Devising a Writing Project Plan and Schedule

Reviewing Your Plan with Others

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• Methodology

Research Design | Step-by-Step Guide with Examples

Published on 5 May 2022 by Shona McCombes . Revised on 20 March 2023.

A research design is a strategy for answering your research question  using empirical data. Creating a research design means making decisions about:

• Your overall aims and approach
• The type of research design you’ll use
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

Prevent plagiarism, run a free check.

Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types. Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.

Observation methods

Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

Operationalisation

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample – by mail, online, by phone, or in person?

If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organising and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.

On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarise your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

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.

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.

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.

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Overview of research process.

The Research Process

Anything you write involves organization and a logical flow of ideas, so understanding the logic of the research process before beginning to write is essential. Simply put, you need to put your writing in the larger context—see the forest before you even attempt to see the trees.

In this brief introductory module, we’ll review the major steps in the research process, conceptualized here as a series of steps within a circle, with each step dependent on the previous one. The circle best depicts the recursive nature of the process; that is, once the process has been completed, the researcher may begin again by refining or expanding on the initial approach, or even pioneering a completely new approach to solving the problem.

Identify a Research Problem

You identify a research problem by first selecting a general topic that’s interesting to you and to the interests and specialties of your research advisor. Once identified, you’ll need to narrow it. For example, if teenage pregnancy is your general topic area, your specific topic could be a comparison of how teenage pregnancy affects young fathers and mothers differently.

Review the Literature

Find out what’s being asked or what’s already been done in the area by doing some exploratory reading. Discuss the topic with your advisor to gain additional insights, explore novel approaches, and begin to develop your research question, purpose statement, and hypothesis(es), if applicable.

Determine Research Question

A good research question is a question worth asking; one that poses a problem worth solving. A good question should:

• Be clear . It must be understandable to you and to others.
• Be researchable . It should be capable of developing into a manageable research design, so data may be collected in relation to it. Extremely abstract terms are unlikely to be suitable.
• Connect with established theory and research . There should be a literature on which you can draw to illuminate how your research question(s) should be approached.
• Be neither too broad nor too narrow. See Appendix A for a brief explanation of the narrowing process and how your research question, purpose statement, and hypothesis(es) are interconnected.

Appendix A Research Questions, Purpose Statement, Hypothesis(es)

Develop Research Methods

Once you’ve finalized your research question, purpose statement, and hypothesis(es), you’ll need to write your research proposal—a detailed management plan for your research project. The proposal is as essential to successful research as an architect’s plans are to the construction of a building.

See Appendix B to view the basic components of a research proposal.

Appendix B Components of a Research Proposal

Collect & Analyze Data

In Practical Research–Planning and Design (2005, 8th Edition), Leedy and Ormrod provide excellent advice for what the researcher does at this stage in the research process. The researcher now

• collects data that potentially relate to the problem,
• arranges the data into a logical organizational structure,
• analyzes and interprets the data to determine their meaning, 
• determines if the data resolve the research problem or not, and
• determines if the data support the hypothesis or not.

Document the Work

Because research reports differ by discipline, the most effective way for you to understand formatting and citations is to examine reports from others in your department or field. The library’s electronic databases provide a wealth of examples illustrating how others in your field document their research.

Communicate Your Research

Talk with your advisor about potential local, regional, or national venues to present your findings. And don’t sell yourself short: Consider publishing your research in related books or journals.

Refine/Expand, Pioneer

Earlier, we emphasized the fact that the research process, rather than being linear, is recursive—the reason we conceptualized the process as a series of steps within a circle. At this stage, you may need to revisit your research problem in the context of your findings. You might also investigate the implications of your work and identify new problems or refine your previous approach.

The process then begins anew . . . and you’ll once again move through the series of steps in the circle.

Continue to Module Two

Appendix C - Key Research Terms

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Effective research assignments: home, communicate your expectations.

• Assess the quality of the sources your students cite as part of their overall grades, and explain clearly in your rubric how that evaluation will be made.
• Spell out your expectations regarding sources. Instead of asking for scholarly sources, for example, you could ask your students to "cite at least two peer-reviewed journal articles and two primary sources".
• Explain terminology and provide background regarding scholarly publishing. What’s peer-review? What are some differences between scholarly books and journal articles? When should one consult popular news sources? What’s a primary source?
• Clearly communicate which style manual is required.
• Include a policy on plagiarism in the assignment and discuss the purposes of proper attribution. Discuss examples: does paraphrasing another author’s ideas require a citation?
• Provide examples of topics that are appropriate in scope for the assignment at hand, and provide feedback to individual students as they begin to develop and refine their topics.

Design and test your assignment An effective research assignment targets specific skills, for example, the ability to trace a scholarly argument through the literature or the ability to organize consulted resources into a bibliography.

• Test the assignment yourself. Can you find the kinds of sources required? Are you required to evaluate the sources you find?
• Ask students for feedback on the assignment. Are they having problems finding relevant materials? Do they understand your expectations?
• If the assignment is particularly demanding, consider dividing a single research project into multiple assignments (outline, draft, final draft), each one focusing on a different aspect of the research process.

Ideas for alternative research assignments

• Assign an annotated bibliography in which students identify primary and secondary sources, popular and scholarly publications, and detect and comment on forms of bias.
• Ask for students to document the search tools they use (library catalog, article databases, Google, etc.) for a research paper and to reflect on the kinds of information they find in each.
• Provide a resource list or a single source from which students’ research should begin. Discuss the utility of known sources for identifying keywords, key concepts, and other citations to inform further searching.
• Assign students to prepare a guide for introducing their classmates to the essential literature on a given topic.
• Have students compile a glossary of important terms specific to a given topic in your discipline.
• Require students to edit an anthology of important scholarship on a specific topic and write an introduction explaining the development of the field over time.

Avoid these common mistakes

• Since many scholarly sources are available online, it can be confusing for students when “Internet” or “Web” sources are forbidden. It’s helpful to describe why certain sources (such as Wikipedia) may not be allowed.
• Make sure the resources required by the assignment are available to your students in the library or in library databases. You can also place hard-to-find required sources on  course reserve .
• Last Updated: May 4, 2022 10:41 AM
• URL: https://guides.lib.berkeley.edu/effective-research-assignments

Creating Effective Research Assignments: Home

Introduction.

This guide shares observations about crafting effective research assignments, gleaned from the experiences of the librarians of DeVry University and other academic institutions.  Here can also be found links to ebooks and other resources that address the research process and research assignments.

General Considerations

Learning Objectives What is the purpose of the research assignment?  The assignment's learning objectives should be clear to both students and the instructor. 

Student Confidence Remember that students, despite some of them being "digital natives," do not know as much about research (even online) as they think they do, and a large percentage of our population are returning students with a long "gap year." 

Library anxiety is a well documented phenomenon.  Even students who grew up with information technology admit to finding the library and its wide array of resources intimidating and confusing (Head, 2013) .  The librarians are here to help, but not every student is aware of this resource - please direct them to ask for assistance.

Head, A. (2013). Project Information Literacy: What can be learned about the information-seeking behavior of today’s college students? Retrieved from https://www.projectinfolit.org/uploads/2/7/5/4/27541717/head_project.pdf

Clearly define research assignment terminology.  A specification like "do not use the Internet" can be construed as applying to the library's resources (and the librarians have dealt with this exact state of confusion by students).  It is better to positively identify what your expectations are, e.g. "a minimum of six scholarly sources."

Direct students to contact the librarians for help - this is an essential part of the research process, not an admission of ignorance (if using the library was obvious, there wouldn't be librarians).

On a related note, consider scheduling a library instruction session with your DVU librarians that coincides with the start of the research assignment.  

Test the assignment yourself before assigning it to students.

Contact the librarians to make sure the library has the resources needed and in sufficient quantity.  Some access models limit the library to one "copy" of a particular e-book, for example, and some of our vendors do not always make the most recent content available immediately.

Consider requiring research journals or logs, or annotated bibliographies, etc. to encourage thinking about the research process and quality of the resources used.

Things to Avoid

Avoid directing students to a particular and finite resource - it is an unfortunate fact that some of the library's license agreements limit the number of "copies" of some content.

Avoid "scavenger hunts," i.e. directing students to find things for the sake of finding things.  Students tend to reject activities that do not appear to have direct application in their classes. However, these kinds of activities can work if students find them sufficiently engaging or entertaining.

Do not make assumptions about what resources are available in the library.  The library's resources change over time, due to factors including budget variations and vendor agreements.  Contact the librarians to ensure that the needed resources are available.

Avoid seemingly arbitrary specifications on resources.  Telling students not to use Wikipedia is not as effective as being explicit about which resources are acceptable.  

DVU Library Resources

External links.

The following sources were consulted in preparing this LibGuide:

Burkhardt, J. (2016). Teaching information literacy reframed . Chicago: ALA Neal Schuman

Hunter College Libraries (2018). Creating research assignments: Faculty guide . Retrieved from https://libguides.library.hunter.cuny.edu/c.php?g=438884&p=2991497

Mesa Community College Library (n.d.). Planning checklist: Research assignments [PDF]. Retrieved from https://mesacc.libguides.com/ld.php?content_id=26267774

Su, D. (2014). Library instruction design: Learning from Google and Apple . [Books24x7 version] Available from http://common.books24x7.com.proxy.devry.edu:5050/toc.aspx?bookid=73439.

University of Idaho Library (2017). Creating effective library research assignments . Retrieved from  https://libguides.uidaho.edu/Creating_Research_Assignments

• Last Updated: Apr 18, 2024 2:47 PM
• URL: https://libguides.devry.edu/creating-effective-research-assignments

Understanding Research Assignments

Before you begin researching and writing, you should spend some time understanding your assignment and preparing your process and workflows. To make the most productive use of your time, you'll need to know what you're trying to accomplish and have a consistent process for gathering information, reading, and note-taking.

1) About Research Assignments

2) avoiding plagiarism, 3) organizing your readings, about research assignments.

Most of your courses will require you to complete a research assignment of one kind or another. In general, the goal of a research assignment is to get you to gather information about a certain topic, analyze that information, and report what you’ve learned as part of a class presentation or research paper/essay.

Types of Research Assignments

You can find useful information about the different types of research and writing assignments at the Online Writing Lab .

Important Things to Note About Your Assignment

Relationship to other assignments : Some professors will design their assignments to flow together. You may find that each assignment requires you to do a little bit more work towards writing a big final paper.

Choice of topic : You may be given a list of possible research topics, or you may be asked to choose a topic of interest to you. In either case, it’s a good idea to chat with your prof and do some preliminary research before deciding.

Number and Type of Sources : Often, professors will ask that you use a minimum number of sources in your paper. Information sources can be almost anything, but you may be required to use only, or mostly, academic/peer-reviewed sources.

Citation/Referencing Style : There are many different styles for referencing your sources. The most commonly used styles are APA, MLA, Chicago, and CSE. Make sure you know which you are expected to use, and take a moment to learn the basics of the style.

Length : You will usually be asked to write a paper of specified length. Be sure to start early and give yourself enough time to do the appropriate amount of research and writing.

Library Access

Completing your assignments will require access to the library’s collection. These are specialized resources you won’t find available freely on the Internet. You can access the library’s online collections (databases) through our website. If you are off-campus, you’ll be required to authenticate with your WebAdvisor username and password.

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Avoiding Plagiarism

The following definition of plagiarism can be found in the University of Winnipeg Academic Misconduct Policy :

“Plagiarism is a form of academic dishonesty in which students present published or unpublished work (written, digital, or other) of another person or persons, or one’s own prior work, in its entirety or in part, as their own original work.”

Every student is expected to produce work that follows the rules of academic integrity, so avoiding plagiarism is a fundamental skill in university. To be clear, you will generally be expected to use other people’s ideas to support the points in your paper, but the source of every idea that isn’t your own needs to be cited in a suitable format.

There are two ways that plagiarism can happen: intentionally and unintentionally. We’ll talk about each here.

Intentional Plagiarism

With the abundance of information available online, it’s incredibly easy to take credit for something you didn’t write, if that’s your intention. However, simply copying information from a website or blog and pasting it into your paper without crediting the source is considered plagiarism. Add this to the act of getting someone (or paying them) to write your paper for you, which is clearly unethical, and you have an idea of how intentional plagiarism happens.

As easy as it is, though, it’s also very easy to detect. If you plagiarize something, your professor only needs to do a couple of simple Google searches or use a plagiarism detection software to figure it out. Plus, your professors often craft their assignments to see how you develop as a researcher and writer during the course. If you are not producing original work, you won’t be effectively demonstrating your development and your grades may suffer, even if you don’t get caught.

Unintentional Plagiarism

Plagiarism can also happen by accident. This usually results from sloppy note-taking or by writing your paper in a rush. Even if you accidentally use another person’s idea without credit, you are still plagiarizing them. Also, most students don’t realize it’s possible to plagiarize yourself, by using your own published ideas without citation.

Basically, any idea that comes from a source (books, articles, websites, videos, previous papers, etc.) needs to be cited.

There can be serious penalties for plagiarism (again, see the Academic Misconduct Policy ). It isn’t worth it to try, and taking the time to properly cite and reference your sources isn’t too difficult once you get in the habit.

Tips for Avoiding Plagiarism

• Don’t procrastinate.
• Create a reference for all your sources, in the format outlined by your prof.
• Take detailed notes as your read each source, noting the page numbers for each idea.
• Paraphrase major points and indicate if an idea is a direct quote.
• In your paper, properly cite all the ideas from your sources.
• Create a bibliography or works cited, including references for all your sources.

Organizing Your Readings

Writing a research paper can be difficult and frustrating if you don’t keep your sources organized. Here’s some advice to keep your readings, notes, and bibliographies organized so you don’t run into trouble later.

• Create a separate folder on your computer for each research project you’re working on.
• Place all your full-text articles (PDFs) in this folder.
• Create a complete bibliography entry for each of your sources (including books and other non-digital sources) and save the file to this folder.
• As you read your sources, take notes under the bibliography entry. Be sure to note the page numbers as appropriate.

When it comes time to put these ideas together into a first draft of your paper, it will be easy to see which ideas came from which source. This will make writing a lot easier, but also help you to see how your sources agree or disagree on your topic, and make sure you avoid accidentally plagiarizing any of your sources.

Many students and researchers like to use a citation management tool to help keep their sources organized, and to create citations and references. If you're interested in this, you may want to have a look at this information about using Zotero , which is one example of a citation manager.

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Research Basics: Understanding the Assignment

• Understanding the Assignment
• Choosing a Research Topic
• Refining a Research Topic
• Developing a Research Question
• Deciding What Types of Sources You Will Need
• Types of Sources
• Search Techniques
• Find Books & eBooks This link opens in a new window
• Choose a Database / Find Articles
• Find Articles Using the EBSCO Articles tab
• Find Journals
• Find Websites using Google
• Find Articles Using Google Scholar
• Find Government Documents This link opens in a new window
• Find Statistics This link opens in a new window
• Interlibrary Loan This link opens in a new window
• How to evaluate your sources This link opens in a new window
• Primary vs. Secondary Sources This link opens in a new window
• Popular vs. Scholary This link opens in a new window
• Wheel of Sources
• Incorporate Sources into Your Research Paper
• Paraphrasing
• Voice Markers
• Using Source Material to Develop/Support an Argument
• Reasons to Cite Your Sources
• Citation & Style Guides This link opens in a new window
• Learning Checks
• Open Access Educational Resources
• Research Help

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Read the Assignment Carefully

Reading your assignment carefully can make a huge difference. Here are things to look for in the assignment instructions:

• Purpose of the assignment.  What should your research project accomplish? What is the role of research and of information sources in the assignment? This will help you determine your research process and timeline. (If you still have questions after closely reading the assignment, ask your instructor.)  
• Topic guidance and suggestions . Some instructors offer specific suggestions, while others provide guidelines to help you choose a topic yourself. Check for points and questions the instructor wants you to address in your assignment.  
• Type(s) of recommended sources  for supporting your research.  Think about where you might need to look for the recommended sources. Some will be available through the Benedictine Library collection, and some may be freely available on the Web. For more information see What Types of Sources Do You Need? .  
• Due date . This will help you determine when you need to start finding sources, reading and analyzing them, and developing your paper or project. Some assignments have different parts due at different times, so check all the due dates.  To help you manage your time, you may wish to use the Benedictine Library Research Project Calculator  
• Length of the assignment . This will help you determine the scope of your  topic.   
• Style and formatting information , such as font size, spacing, and citation style. This Citation Guides  guide can help with this.

Highlight and Underline

Highlight or underline the elements that are key to understanding your assignment. If you cannot describe what your assignment is about to someone else, re-read the assignment sheet or talk with your instructor.

Source: The Writing Center, University of North Carolina at Chapel Hill

• Understanding Assignments (handout)
• << Previous: Step 1: Develop a Topic
• Next: Choosing a Research Topic >>
• Last Updated: Feb 2, 2024 11:54 AM
• URL: https://researchguides.ben.edu/research-basics

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Research Tutorial Links

1. Research Tutorial Your introduction to college level research.

2. College Level Research College level research, scholarly & peer reviewed articles and more.

3. Your Research Assignment Understanding your research assignment and picking a topic.

4. Find Your Sources Find college level books, eBooks, articles and media for your research assignments.

5. Evaluate Your Sources Evaluating your sources and spotting fake sites, fake news and media bias.

6. Cite Your Sources Citation, plagiarism, copyright and fair use.

Understanding your assignment is key. You should read your assignment as soon as you get it just so you have time to ask your instructor about anything that you’re not sure of.

Having the assignment with you when you search can help ensure that the sources that you find will work for the assignment. Circle, highlight or underline important requirements. If you are not sure what your instructor wants, ask!

What is your instructor asking you to do?

When reading your assignment focus on verbs like analyze , summarize or compare to understand what your instructor wants from you. Other important words to watch out for are how , why , when , etc. All of these words will help you focus on what you need for your research topic.

What are the rules of the assignment?

Many instructors have rules that they want you to follow in order to complete the assignment successfully. They frequently include things like:

• How long your paper or presentation should be
• That might include things like your textbook, class notes, books, articles, and Internet
• It might also include how long your sources need to be, when they were written and who wrote them
• MLA, APA, GSA, etc.
• Informational, persuasive, reflective, annotated bibliographies, scientific, etc.
• Word, RTF, PowerPoint, etc.
• What kinds of topics you can use

Once you have and understand your assignment, choosing a topic is the next step in the research process. In some cases, you will be assigned a specific topic for your research paper. In other cases you will be able to complete your research on a topic of your choice.

If you are able to choose your own topic, try to choose a topic that is interesting to you. You will be spending quite a bit of time doing research and writing your paper--interest in the topic can make the process much easier and help you write a better paper.

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Home » Assignment – Types, Examples and Writing Guide

Assignment – Types, Examples and Writing Guide

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Definition:

Assignment is a task given to students by a teacher or professor, usually as a means of assessing their understanding and application of course material. Assignments can take various forms, including essays, research papers, presentations, problem sets, lab reports, and more.

Assignments are typically designed to be completed outside of class time and may require independent research, critical thinking, and analysis. They are often graded and used as a significant component of a student’s overall course grade. The instructions for an assignment usually specify the goals, requirements, and deadlines for completion, and students are expected to meet these criteria to earn a good grade.

History of Assignment

The use of assignments as a tool for teaching and learning has been a part of education for centuries. Following is a brief history of the Assignment.

• Ancient Times: Assignments such as writing exercises, recitations, and memorization tasks were used to reinforce learning.
• Medieval Period : Universities began to develop the concept of the assignment, with students completing essays, commentaries, and translations to demonstrate their knowledge and understanding of the subject matter.
• 19th Century : With the growth of schools and universities, assignments became more widespread and were used to assess student progress and achievement.
• 20th Century: The rise of distance education and online learning led to the further development of assignments as an integral part of the educational process.
• Present Day: Assignments continue to be used in a variety of educational settings and are seen as an effective way to promote student learning and assess student achievement. The nature and format of assignments continue to evolve in response to changing educational needs and technological innovations.

Types of Assignment

Here are some of the most common types of assignments:

An essay is a piece of writing that presents an argument, analysis, or interpretation of a topic or question. It usually consists of an introduction, body paragraphs, and a conclusion.

Essay structure:

• Introduction : introduces the topic and thesis statement
• Body paragraphs : each paragraph presents a different argument or idea, with evidence and analysis to support it
• Conclusion : summarizes the key points and reiterates the thesis statement

Research paper

A research paper involves gathering and analyzing information on a particular topic, and presenting the findings in a well-structured, documented paper. It usually involves conducting original research, collecting data, and presenting it in a clear, organized manner.

Research paper structure:

• Title page : includes the title of the paper, author’s name, date, and institution
• Abstract : summarizes the paper’s main points and conclusions
• Introduction : provides background information on the topic and research question
• Literature review: summarizes previous research on the topic
• Methodology : explains how the research was conducted
• Results : presents the findings of the research
• Discussion : interprets the results and draws conclusions
• Conclusion : summarizes the key findings and implications

A case study involves analyzing a real-life situation, problem or issue, and presenting a solution or recommendations based on the analysis. It often involves extensive research, data analysis, and critical thinking.

Case study structure:

• Introduction : introduces the case study and its purpose
• Background : provides context and background information on the case
• Analysis : examines the key issues and problems in the case
• Solution/recommendations: proposes solutions or recommendations based on the analysis
• Conclusion: Summarize the key points and implications

A lab report is a scientific document that summarizes the results of a laboratory experiment or research project. It typically includes an introduction, methodology, results, discussion, and conclusion.

Lab report structure:

• Title page : includes the title of the experiment, author’s name, date, and institution
• Abstract : summarizes the purpose, methodology, and results of the experiment
• Methods : explains how the experiment was conducted
• Results : presents the findings of the experiment

Presentation

A presentation involves delivering information, data or findings to an audience, often with the use of visual aids such as slides, charts, or diagrams. It requires clear communication skills, good organization, and effective use of technology.

Presentation structure:

• Introduction : introduces the topic and purpose of the presentation
• Body : presents the main points, findings, or data, with the help of visual aids
• Conclusion : summarizes the key points and provides a closing statement

Creative Project

A creative project is an assignment that requires students to produce something original, such as a painting, sculpture, video, or creative writing piece. It allows students to demonstrate their creativity and artistic skills.

Creative project structure:

• Introduction : introduces the project and its purpose
• Body : presents the creative work, with explanations or descriptions as needed
• Conclusion : summarizes the key elements and reflects on the creative process.

Examples of Assignments

Following are Examples of Assignment templates samples:

Essay template:

I. Introduction

• Hook: Grab the reader’s attention with a catchy opening sentence.
• Background: Provide some context or background information on the topic.
• Thesis statement: State the main argument or point of your essay.

II. Body paragraphs

• Topic sentence: Introduce the main idea or argument of the paragraph.
• Evidence: Provide evidence or examples to support your point.
• Analysis: Explain how the evidence supports your argument.
• Transition: Use a transition sentence to lead into the next paragraph.

III. Conclusion

• Restate thesis: Summarize your main argument or point.
• Review key points: Summarize the main points you made in your essay.
• Concluding thoughts: End with a final thought or call to action.

Research paper template:

I. Title page

• Title: Give your paper a descriptive title.
• Author: Include your name and institutional affiliation.
• Date: Provide the date the paper was submitted.

II. Abstract

• Background: Summarize the background and purpose of your research.
• Methodology: Describe the methods you used to conduct your research.
• Results: Summarize the main findings of your research.
• Conclusion: Provide a brief summary of the implications and conclusions of your research.

III. Introduction

• Background: Provide some background information on the topic.
• Research question: State your research question or hypothesis.
• Purpose: Explain the purpose of your research.

IV. Literature review

• Background: Summarize previous research on the topic.
• Gaps in research: Identify gaps or areas that need further research.

V. Methodology

• Participants: Describe the participants in your study.
• Procedure: Explain the procedure you used to conduct your research.
• Measures: Describe the measures you used to collect data.

VI. Results

• Quantitative results: Summarize the quantitative data you collected.
• Qualitative results: Summarize the qualitative data you collected.

VII. Discussion

• Interpretation: Interpret the results and explain what they mean.
• Implications: Discuss the implications of your research.
• Limitations: Identify any limitations or weaknesses of your research.

VIII. Conclusion

• Review key points: Summarize the main points you made in your paper.

Case study template:

• Background: Provide background information on the case.
• Research question: State the research question or problem you are examining.
• Purpose: Explain the purpose of the case study.

II. Analysis

• Problem: Identify the main problem or issue in the case.
• Factors: Describe the factors that contributed to the problem.
• Alternative solutions: Describe potential solutions to the problem.

III. Solution/recommendations

• Proposed solution: Describe the solution you are proposing.
• Rationale: Explain why this solution is the best one.
• Implementation: Describe how the solution can be implemented.

IV. Conclusion

• Summary: Summarize the main points of your case study.

Lab report template:

• Title: Give your report a descriptive title.
• Date: Provide the date the report was submitted.
• Background: Summarize the background and purpose of the experiment.
• Methodology: Describe the methods you used to conduct the experiment.
• Results: Summarize the main findings of the experiment.
• Conclusion: Provide a brief summary of the implications and conclusions
• Background: Provide some background information on the experiment.
• Hypothesis: State your hypothesis or research question.
• Purpose: Explain the purpose of the experiment.

IV. Materials and methods

• Materials: List the materials and equipment used in the experiment.
• Procedure: Describe the procedure you followed to conduct the experiment.
• Data: Present the data you collected in tables or graphs.
• Analysis: Analyze the data and describe the patterns or trends you observed.

VI. Discussion

• Implications: Discuss the implications of your findings.
• Limitations: Identify any limitations or weaknesses of the experiment.

VII. Conclusion

• Restate hypothesis: Summarize your hypothesis or research question.
• Review key points: Summarize the main points you made in your report.

Presentation template:

• Attention grabber: Grab the audience’s attention with a catchy opening.
• Purpose: Explain the purpose of your presentation.
• Overview: Provide an overview of what you will cover in your presentation.

II. Main points

• Main point 1: Present the first main point of your presentation.
• Supporting details: Provide supporting details or evidence to support your point.
• Main point 2: Present the second main point of your presentation.
• Main point 3: Present the third main point of your presentation.
• Summary: Summarize the main points of your presentation.
• Call to action: End with a final thought or call to action.

Creative writing template:

• Setting: Describe the setting of your story.
• Characters: Introduce the main characters of your story.
• Rising action: Introduce the conflict or problem in your story.
• Climax: Present the most intense moment of the story.
• Falling action: Resolve the conflict or problem in your story.
• Resolution: Describe how the conflict or problem was resolved.
• Final thoughts: End with a final thought or reflection on the story.

How to Write Assignment

Here is a general guide on how to write an assignment:

• Understand the assignment prompt: Before you begin writing, make sure you understand what the assignment requires. Read the prompt carefully and make note of any specific requirements or guidelines.
• Research and gather information: Depending on the type of assignment, you may need to do research to gather information to support your argument or points. Use credible sources such as academic journals, books, and reputable websites.
• Organize your ideas : Once you have gathered all the necessary information, organize your ideas into a clear and logical structure. Consider creating an outline or diagram to help you visualize your ideas.
• Write a draft: Begin writing your assignment using your organized ideas and research. Don’t worry too much about grammar or sentence structure at this point; the goal is to get your thoughts down on paper.
• Revise and edit: After you have written a draft, revise and edit your work. Make sure your ideas are presented in a clear and concise manner, and that your sentences and paragraphs flow smoothly.
• Proofread: Finally, proofread your work for spelling, grammar, and punctuation errors. It’s a good idea to have someone else read over your assignment as well to catch any mistakes you may have missed.
• Submit your assignment : Once you are satisfied with your work, submit your assignment according to the instructions provided by your instructor or professor.

Applications of Assignment

Assignments have many applications across different fields and industries. Here are a few examples:

• Education : Assignments are a common tool used in education to help students learn and demonstrate their knowledge. They can be used to assess a student’s understanding of a particular topic, to develop critical thinking skills, and to improve writing and research abilities.
• Business : Assignments can be used in the business world to assess employee skills, to evaluate job performance, and to provide training opportunities. They can also be used to develop business plans, marketing strategies, and financial projections.
• Journalism : Assignments are often used in journalism to produce news articles, features, and investigative reports. Journalists may be assigned to cover a particular event or topic, or to research and write a story on a specific subject.
• Research : Assignments can be used in research to collect and analyze data, to conduct experiments, and to present findings in written or oral form. Researchers may be assigned to conduct research on a specific topic, to write a research paper, or to present their findings at a conference or seminar.
• Government : Assignments can be used in government to develop policy proposals, to conduct research, and to analyze data. Government officials may be assigned to work on a specific project or to conduct research on a particular topic.
• Non-profit organizations: Assignments can be used in non-profit organizations to develop fundraising strategies, to plan events, and to conduct research. Volunteers may be assigned to work on a specific project or to help with a particular task.

Purpose of Assignment

The purpose of an assignment varies depending on the context in which it is given. However, some common purposes of assignments include:

• Assessing learning: Assignments are often used to assess a student’s understanding of a particular topic or concept. This allows educators to determine if a student has mastered the material or if they need additional support.
• Developing skills: Assignments can be used to develop a wide range of skills, such as critical thinking, problem-solving, research, and communication. Assignments that require students to analyze and synthesize information can help to build these skills.
• Encouraging creativity: Assignments can be designed to encourage students to be creative and think outside the box. This can help to foster innovation and original thinking.
• Providing feedback : Assignments provide an opportunity for teachers to provide feedback to students on their progress and performance. Feedback can help students to understand where they need to improve and to develop a growth mindset.
• Meeting learning objectives : Assignments can be designed to help students meet specific learning objectives or outcomes. For example, a writing assignment may be designed to help students improve their writing skills, while a research assignment may be designed to help students develop their research skills.

When to write Assignment

Assignments are typically given by instructors or professors as part of a course or academic program. The timing of when to write an assignment will depend on the specific requirements of the course or program, but in general, assignments should be completed within the timeframe specified by the instructor or program guidelines.

It is important to begin working on assignments as soon as possible to ensure enough time for research, writing, and revisions. Waiting until the last minute can result in rushed work and lower quality output.

It is also important to prioritize assignments based on their due dates and the amount of work required. This will help to manage time effectively and ensure that all assignments are completed on time.

In addition to assignments given by instructors or professors, there may be other situations where writing an assignment is necessary. For example, in the workplace, assignments may be given to complete a specific project or task. In these situations, it is important to establish clear deadlines and expectations to ensure that the assignment is completed on time and to a high standard.

Characteristics of Assignment

Here are some common characteristics of assignments:

• Purpose : Assignments have a specific purpose, such as assessing knowledge or developing skills. They are designed to help students learn and achieve specific learning objectives.
• Requirements: Assignments have specific requirements that must be met, such as a word count, format, or specific content. These requirements are usually provided by the instructor or professor.
• Deadline: Assignments have a specific deadline for completion, which is usually set by the instructor or professor. It is important to meet the deadline to avoid penalties or lower grades.
• Individual or group work: Assignments can be completed individually or as part of a group. Group assignments may require collaboration and communication with other group members.
• Feedback : Assignments provide an opportunity for feedback from the instructor or professor. This feedback can help students to identify areas of improvement and to develop their skills.
• Academic integrity: Assignments require academic integrity, which means that students must submit original work and avoid plagiarism. This includes citing sources properly and following ethical guidelines.
• Learning outcomes : Assignments are designed to help students achieve specific learning outcomes. These outcomes are usually related to the course objectives and may include developing critical thinking skills, writing abilities, or subject-specific knowledge.

Advantages of Assignment

There are several advantages of assignment, including:

• Helps in learning: Assignments help students to reinforce their learning and understanding of a particular topic. By completing assignments, students get to apply the concepts learned in class, which helps them to better understand and retain the information.
• Develops critical thinking skills: Assignments often require students to think critically and analyze information in order to come up with a solution or answer. This helps to develop their critical thinking skills, which are important for success in many areas of life.
• Encourages creativity: Assignments that require students to create something, such as a piece of writing or a project, can encourage creativity and innovation. This can help students to develop new ideas and perspectives, which can be beneficial in many areas of life.
• Builds time-management skills: Assignments often come with deadlines, which can help students to develop time-management skills. Learning how to manage time effectively is an important skill that can help students to succeed in many areas of life.
• Provides feedback: Assignments provide an opportunity for students to receive feedback on their work. This feedback can help students to identify areas where they need to improve and can help them to grow and develop.

Limitations of Assignment

There are also some limitations of assignments that should be considered, including:

• Limited scope: Assignments are often limited in scope, and may not provide a comprehensive understanding of a particular topic. They may only cover a specific aspect of a topic, and may not provide a full picture of the subject matter.
• Lack of engagement: Some assignments may not engage students in the learning process, particularly if they are repetitive or not challenging enough. This can lead to a lack of motivation and interest in the subject matter.
• Time-consuming: Assignments can be time-consuming, particularly if they require a lot of research or writing. This can be a disadvantage for students who have other commitments, such as work or extracurricular activities.
• Unreliable assessment: The assessment of assignments can be subjective and may not always accurately reflect a student’s understanding or abilities. The grading may be influenced by factors such as the instructor’s personal biases or the student’s writing style.
• Lack of feedback : Although assignments can provide feedback, this feedback may not always be detailed or useful. Instructors may not have the time or resources to provide detailed feedback on every assignment, which can limit the value of the feedback that students receive.

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Research Design 101

Everything You Need To Get Started (With Examples)

By: Derek Jansen (MBA) | Reviewers: Eunice Rautenbach (DTech) & Kerryn Warren (PhD) | April 2023

Navigating the world of research can be daunting, especially if you’re a first-time researcher. One concept you’re bound to run into fairly early in your research journey is that of “ research design ”. Here, we’ll guide you through the basics using practical examples , so that you can approach your research with confidence.

Overview: Research Design 101

What is research design.

• Research design types for quantitative studies
• Video explainer : quantitative research design
• Research design types for qualitative studies
• Video explainer : qualitative research design
• How to choose a research design
• Key takeaways

Research design refers to the overall plan, structure or strategy that guides a research project , from its conception to the final data analysis. A good research design serves as the blueprint for how you, as the researcher, will collect and analyse data while ensuring consistency, reliability and validity throughout your study.

Understanding different types of research designs is essential as helps ensure that your approach is suitable  given your research aims, objectives and questions , as well as the resources you have available to you. Without a clear big-picture view of how you’ll design your research, you run the risk of potentially making misaligned choices in terms of your methodology – especially your sampling , data collection and data analysis decisions.

The problem with defining research design…

One of the reasons students struggle with a clear definition of research design is because the term is used very loosely across the internet, and even within academia.

Some sources claim that the three research design types are qualitative, quantitative and mixed methods , which isn’t quite accurate (these just refer to the type of data that you’ll collect and analyse). Other sources state that research design refers to the sum of all your design choices, suggesting it’s more like a research methodology . Others run off on other less common tangents. No wonder there’s confusion!

In this article, we’ll clear up the confusion. We’ll explain the most common research design types for both qualitative and quantitative research projects, whether that is for a full dissertation or thesis, or a smaller research paper or article.

Research Design: Quantitative Studies

Quantitative research involves collecting and analysing data in a numerical form. Broadly speaking, there are four types of quantitative research designs: descriptive , correlational , experimental , and quasi-experimental . 

Descriptive Research Design

As the name suggests, descriptive research design focuses on describing existing conditions, behaviours, or characteristics by systematically gathering information without manipulating any variables. In other words, there is no intervention on the researcher’s part – only data collection.

For example, if you’re studying smartphone addiction among adolescents in your community, you could deploy a survey to a sample of teens asking them to rate their agreement with certain statements that relate to smartphone addiction. The collected data would then provide insight regarding how widespread the issue may be – in other words, it would describe the situation.

The key defining attribute of this type of research design is that it purely describes the situation . In other words, descriptive research design does not explore potential relationships between different variables or the causes that may underlie those relationships. Therefore, descriptive research is useful for generating insight into a research problem by describing its characteristics . By doing so, it can provide valuable insights and is often used as a precursor to other research design types.

Correlational Research Design

Correlational design is a popular choice for researchers aiming to identify and measure the relationship between two or more variables without manipulating them . In other words, this type of research design is useful when you want to know whether a change in one thing tends to be accompanied by a change in another thing.

For example, if you wanted to explore the relationship between exercise frequency and overall health, you could use a correlational design to help you achieve this. In this case, you might gather data on participants’ exercise habits, as well as records of their health indicators like blood pressure, heart rate, or body mass index. Thereafter, you’d use a statistical test to assess whether there’s a relationship between the two variables (exercise frequency and health).

As you can see, correlational research design is useful when you want to explore potential relationships between variables that cannot be manipulated or controlled for ethical, practical, or logistical reasons. It is particularly helpful in terms of developing predictions , and given that it doesn’t involve the manipulation of variables, it can be implemented at a large scale more easily than experimental designs (which will look at next).

That said, it’s important to keep in mind that correlational research design has limitations – most notably that it cannot be used to establish causality . In other words, correlation does not equal causation . To establish causality, you’ll need to move into the realm of experimental design, coming up next…

Need a helping hand?

Experimental Research Design

Experimental research design is used to determine if there is a causal relationship between two or more variables . With this type of research design, you, as the researcher, manipulate one variable (the independent variable) while controlling others (dependent variables). Doing so allows you to observe the effect of the former on the latter and draw conclusions about potential causality.

For example, if you wanted to measure if/how different types of fertiliser affect plant growth, you could set up several groups of plants, with each group receiving a different type of fertiliser, as well as one with no fertiliser at all. You could then measure how much each plant group grew (on average) over time and compare the results from the different groups to see which fertiliser was most effective.

Overall, experimental research design provides researchers with a powerful way to identify and measure causal relationships (and the direction of causality) between variables. However, developing a rigorous experimental design can be challenging as it’s not always easy to control all the variables in a study. This often results in smaller sample sizes , which can reduce the statistical power and generalisability of the results.

Moreover, experimental research design requires random assignment . This means that the researcher needs to assign participants to different groups or conditions in a way that each participant has an equal chance of being assigned to any group (note that this is not the same as random sampling ). Doing so helps reduce the potential for bias and confounding variables . This need for random assignment can lead to ethics-related issues . For example, withholding a potentially beneficial medical treatment from a control group may be considered unethical in certain situations.

Quasi-Experimental Research Design

Quasi-experimental research design is used when the research aims involve identifying causal relations , but one cannot (or doesn’t want to) randomly assign participants to different groups (for practical or ethical reasons). Instead, with a quasi-experimental research design, the researcher relies on existing groups or pre-existing conditions to form groups for comparison.

For example, if you were studying the effects of a new teaching method on student achievement in a particular school district, you may be unable to randomly assign students to either group and instead have to choose classes or schools that already use different teaching methods. This way, you still achieve separate groups, without having to assign participants to specific groups yourself.

Naturally, quasi-experimental research designs have limitations when compared to experimental designs. Given that participant assignment is not random, it’s more difficult to confidently establish causality between variables, and, as a researcher, you have less control over other variables that may impact findings.

All that said, quasi-experimental designs can still be valuable in research contexts where random assignment is not possible and can often be undertaken on a much larger scale than experimental research, thus increasing the statistical power of the results. What’s important is that you, as the researcher, understand the limitations of the design and conduct your quasi-experiment as rigorously as possible, paying careful attention to any potential confounding variables .

Research Design: Qualitative Studies

There are many different research design types when it comes to qualitative studies, but here we’ll narrow our focus to explore the “Big 4”. Specifically, we’ll look at phenomenological design, grounded theory design, ethnographic design, and case study design.

Phenomenological Research Design

Phenomenological design involves exploring the meaning of lived experiences and how they are perceived by individuals. This type of research design seeks to understand people’s perspectives , emotions, and behaviours in specific situations. Here, the aim for researchers is to uncover the essence of human experience without making any assumptions or imposing preconceived ideas on their subjects.

For example, you could adopt a phenomenological design to study why cancer survivors have such varied perceptions of their lives after overcoming their disease. This could be achieved by interviewing survivors and then analysing the data using a qualitative analysis method such as thematic analysis to identify commonalities and differences.

Phenomenological research design typically involves in-depth interviews or open-ended questionnaires to collect rich, detailed data about participants’ subjective experiences. This richness is one of the key strengths of phenomenological research design but, naturally, it also has limitations. These include potential biases in data collection and interpretation and the lack of generalisability of findings to broader populations.

Grounded Theory Research Design

Grounded theory (also referred to as “GT”) aims to develop theories by continuously and iteratively analysing and comparing data collected from a relatively large number of participants in a study. It takes an inductive (bottom-up) approach, with a focus on letting the data “speak for itself”, without being influenced by preexisting theories or the researcher’s preconceptions.

As an example, let’s assume your research aims involved understanding how people cope with chronic pain from a specific medical condition, with a view to developing a theory around this. In this case, grounded theory design would allow you to explore this concept thoroughly without preconceptions about what coping mechanisms might exist. You may find that some patients prefer cognitive-behavioural therapy (CBT) while others prefer to rely on herbal remedies. Based on multiple, iterative rounds of analysis, you could then develop a theory in this regard, derived directly from the data (as opposed to other preexisting theories and models).

Grounded theory typically involves collecting data through interviews or observations and then analysing it to identify patterns and themes that emerge from the data. These emerging ideas are then validated by collecting more data until a saturation point is reached (i.e., no new information can be squeezed from the data). From that base, a theory can then be developed .

As you can see, grounded theory is ideally suited to studies where the research aims involve theory generation , especially in under-researched areas. Keep in mind though that this type of research design can be quite time-intensive , given the need for multiple rounds of data collection and analysis.

Ethnographic Research Design

Ethnographic design involves observing and studying a culture-sharing group of people in their natural setting to gain insight into their behaviours, beliefs, and values. The focus here is on observing participants in their natural environment (as opposed to a controlled environment). This typically involves the researcher spending an extended period of time with the participants in their environment, carefully observing and taking field notes .

All of this is not to say that ethnographic research design relies purely on observation. On the contrary, this design typically also involves in-depth interviews to explore participants’ views, beliefs, etc. However, unobtrusive observation is a core component of the ethnographic approach.

As an example, an ethnographer may study how different communities celebrate traditional festivals or how individuals from different generations interact with technology differently. This may involve a lengthy period of observation, combined with in-depth interviews to further explore specific areas of interest that emerge as a result of the observations that the researcher has made.

As you can probably imagine, ethnographic research design has the ability to provide rich, contextually embedded insights into the socio-cultural dynamics of human behaviour within a natural, uncontrived setting. Naturally, however, it does come with its own set of challenges, including researcher bias (since the researcher can become quite immersed in the group), participant confidentiality and, predictably, ethical complexities . All of these need to be carefully managed if you choose to adopt this type of research design.

Case Study Design

With case study research design, you, as the researcher, investigate a single individual (or a single group of individuals) to gain an in-depth understanding of their experiences, behaviours or outcomes. Unlike other research designs that are aimed at larger sample sizes, case studies offer a deep dive into the specific circumstances surrounding a person, group of people, event or phenomenon, generally within a bounded setting or context .

As an example, a case study design could be used to explore the factors influencing the success of a specific small business. This would involve diving deeply into the organisation to explore and understand what makes it tick – from marketing to HR to finance. In terms of data collection, this could include interviews with staff and management, review of policy documents and financial statements, surveying customers, etc.

While the above example is focused squarely on one organisation, it’s worth noting that case study research designs can have different variation s, including single-case, multiple-case and longitudinal designs. As you can see in the example, a single-case design involves intensely examining a single entity to understand its unique characteristics and complexities. Conversely, in a multiple-case design , multiple cases are compared and contrasted to identify patterns and commonalities. Lastly, in a longitudinal case design , a single case or multiple cases are studied over an extended period of time to understand how factors develop over time.

As you can see, a case study research design is particularly useful where a deep and contextualised understanding of a specific phenomenon or issue is desired. However, this strength is also its weakness. In other words, you can’t generalise the findings from a case study to the broader population. So, keep this in mind if you’re considering going the case study route.

How To Choose A Research Design

Having worked through all of these potential research designs, you’d be forgiven for feeling a little overwhelmed and wondering, “ But how do I decide which research design to use? ”. While we could write an entire post covering that alone, here are a few factors to consider that will help you choose a suitable research design for your study.

Data type: The first determining factor is naturally the type of data you plan to be collecting – i.e., qualitative or quantitative. This may sound obvious, but we have to be clear about this – don’t try to use a quantitative research design on qualitative data (or vice versa)!

Research aim(s) and question(s): As with all methodological decisions, your research aim and research questions will heavily influence your research design. For example, if your research aims involve developing a theory from qualitative data, grounded theory would be a strong option. Similarly, if your research aims involve identifying and measuring relationships between variables, one of the experimental designs would likely be a better option.

Time: It’s essential that you consider any time constraints you have, as this will impact the type of research design you can choose. For example, if you’ve only got a month to complete your project, a lengthy design such as ethnography wouldn’t be a good fit.

Resources: Take into account the resources realistically available to you, as these need to factor into your research design choice. For example, if you require highly specialised lab equipment to execute an experimental design, you need to be sure that you’ll have access to that before you make a decision.

Keep in mind that when it comes to research, it’s important to manage your risks and play as conservatively as possible. If your entire project relies on you achieving a huge sample, having access to niche equipment or holding interviews with very difficult-to-reach participants, you’re creating risks that could kill your project. So, be sure to think through your choices carefully and make sure that you have backup plans for any existential risks. Remember that a relatively simple methodology executed well generally will typically earn better marks than a highly-complex methodology executed poorly.

Recap: Key Takeaways

We’ve covered a lot of ground here. Let’s recap by looking at the key takeaways:

• Research design refers to the overall plan, structure or strategy that guides a research project, from its conception to the final analysis of data.
• Research designs for quantitative studies include descriptive , correlational , experimental and quasi-experimenta l designs.
• Research designs for qualitative studies include phenomenological , grounded theory , ethnographic and case study designs.
• When choosing a research design, you need to consider a variety of factors, including the type of data you’ll be working with, your research aims and questions, your time and the resources available to you.

If you need a helping hand with your research design (or any other aspect of your research), check out our private coaching services .

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This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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Is there any blog article explaining more on Case study research design? Is there a Case study write-up template? Thank you.

Thanks this was quite valuable to clarify such an important concept.

Thanks for this simplified explanations. it is quite very helpful.

This was really helpful. thanks

Thank you for your explanation. I think case study research design and the use of secondary data in researches needs to be talked about more in your videos and articles because there a lot of case studies research design tailored projects out there.

Please is there any template for a case study research design whose data type is a secondary data on your repository?

This post is very clear, comprehensive and has been very helpful to me. It has cleared the confusion I had in regard to research design and methodology.

This post is helpful, easy to understand, and deconstructs what a research design is. Thanks

how to cite this page

Thank you very much for the post. It is wonderful and has cleared many worries in my mind regarding research designs. I really appreciate .

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Understanding Assignments

What this handout is about.

The first step in any successful college writing venture is reading the assignment. While this sounds like a simple task, it can be a tough one. This handout will help you unravel your assignment and begin to craft an effective response. Much of the following advice will involve translating typical assignment terms and practices into meaningful clues to the type of writing your instructor expects. See our short video for more tips.

Basic beginnings

Regardless of the assignment, department, or instructor, adopting these two habits will serve you well :

• Read the assignment carefully as soon as you receive it. Do not put this task off—reading the assignment at the beginning will save you time, stress, and problems later. An assignment can look pretty straightforward at first, particularly if the instructor has provided lots of information. That does not mean it will not take time and effort to complete; you may even have to learn a new skill to complete the assignment.
• Ask the instructor about anything you do not understand. Do not hesitate to approach your instructor. Instructors would prefer to set you straight before you hand the paper in. That’s also when you will find their feedback most useful.

Assignment formats

Many assignments follow a basic format. Assignments often begin with an overview of the topic, include a central verb or verbs that describe the task, and offer some additional suggestions, questions, or prompts to get you started.

An Overview of Some Kind

The instructor might set the stage with some general discussion of the subject of the assignment, introduce the topic, or remind you of something pertinent that you have discussed in class. For example:

“Throughout history, gerbils have played a key role in politics,” or “In the last few weeks of class, we have focused on the evening wear of the housefly …”

The Task of the Assignment

Pay attention; this part tells you what to do when you write the paper. Look for the key verb or verbs in the sentence. Words like analyze, summarize, or compare direct you to think about your topic in a certain way. Also pay attention to words such as how, what, when, where, and why; these words guide your attention toward specific information. (See the section in this handout titled “Key Terms” for more information.)

“Analyze the effect that gerbils had on the Russian Revolution”, or “Suggest an interpretation of housefly undergarments that differs from Darwin’s.”

Additional Material to Think about

Here you will find some questions to use as springboards as you begin to think about the topic. Instructors usually include these questions as suggestions rather than requirements. Do not feel compelled to answer every question unless the instructor asks you to do so. Pay attention to the order of the questions. Sometimes they suggest the thinking process your instructor imagines you will need to follow to begin thinking about the topic.

“You may wish to consider the differing views held by Communist gerbils vs. Monarchist gerbils, or Can there be such a thing as ‘the housefly garment industry’ or is it just a home-based craft?”

These are the instructor’s comments about writing expectations:

“Be concise”, “Write effectively”, or “Argue furiously.”

Technical Details

These instructions usually indicate format rules or guidelines.

“Your paper must be typed in Palatino font on gray paper and must not exceed 600 pages. It is due on the anniversary of Mao Tse-tung’s death.”

The assignment’s parts may not appear in exactly this order, and each part may be very long or really short. Nonetheless, being aware of this standard pattern can help you understand what your instructor wants you to do.

Interpreting the assignment

Ask yourself a few basic questions as you read and jot down the answers on the assignment sheet:

Why did your instructor ask you to do this particular task?

Who is your audience.

• What kind of evidence do you need to support your ideas?

What kind of writing style is acceptable?

• What are the absolute rules of the paper?

Try to look at the question from the point of view of the instructor. Recognize that your instructor has a reason for giving you this assignment and for giving it to you at a particular point in the semester. In every assignment, the instructor has a challenge for you. This challenge could be anything from demonstrating an ability to think clearly to demonstrating an ability to use the library. See the assignment not as a vague suggestion of what to do but as an opportunity to show that you can handle the course material as directed. Paper assignments give you more than a topic to discuss—they ask you to do something with the topic. Keep reminding yourself of that. Be careful to avoid the other extreme as well: do not read more into the assignment than what is there.

Of course, your instructor has given you an assignment so that he or she will be able to assess your understanding of the course material and give you an appropriate grade. But there is more to it than that. Your instructor has tried to design a learning experience of some kind. Your instructor wants you to think about something in a particular way for a particular reason. If you read the course description at the beginning of your syllabus, review the assigned readings, and consider the assignment itself, you may begin to see the plan, purpose, or approach to the subject matter that your instructor has created for you. If you still aren’t sure of the assignment’s goals, try asking the instructor. For help with this, see our handout on getting feedback .

Given your instructor’s efforts, it helps to answer the question: What is my purpose in completing this assignment? Is it to gather research from a variety of outside sources and present a coherent picture? Is it to take material I have been learning in class and apply it to a new situation? Is it to prove a point one way or another? Key words from the assignment can help you figure this out. Look for key terms in the form of active verbs that tell you what to do.

Key Terms: Finding Those Active Verbs

Here are some common key words and definitions to help you think about assignment terms:

Information words Ask you to demonstrate what you know about the subject, such as who, what, when, where, how, and why.

• define —give the subject’s meaning (according to someone or something). Sometimes you have to give more than one view on the subject’s meaning
• describe —provide details about the subject by answering question words (such as who, what, when, where, how, and why); you might also give details related to the five senses (what you see, hear, feel, taste, and smell)
• explain —give reasons why or examples of how something happened
• illustrate —give descriptive examples of the subject and show how each is connected with the subject
• summarize —briefly list the important ideas you learned about the subject
• trace —outline how something has changed or developed from an earlier time to its current form
• research —gather material from outside sources about the subject, often with the implication or requirement that you will analyze what you have found

Relation words Ask you to demonstrate how things are connected.

• compare —show how two or more things are similar (and, sometimes, different)
• contrast —show how two or more things are dissimilar
• apply—use details that you’ve been given to demonstrate how an idea, theory, or concept works in a particular situation
• cause —show how one event or series of events made something else happen
• relate —show or describe the connections between things

Interpretation words Ask you to defend ideas of your own about the subject. Do not see these words as requesting opinion alone (unless the assignment specifically says so), but as requiring opinion that is supported by concrete evidence. Remember examples, principles, definitions, or concepts from class or research and use them in your interpretation.

• assess —summarize your opinion of the subject and measure it against something
• prove, justify —give reasons or examples to demonstrate how or why something is the truth
• evaluate, respond —state your opinion of the subject as good, bad, or some combination of the two, with examples and reasons
• support —give reasons or evidence for something you believe (be sure to state clearly what it is that you believe)
• synthesize —put two or more things together that have not been put together in class or in your readings before; do not just summarize one and then the other and say that they are similar or different—you must provide a reason for putting them together that runs all the way through the paper
• analyze —determine how individual parts create or relate to the whole, figure out how something works, what it might mean, or why it is important
• argue —take a side and defend it with evidence against the other side

More Clues to Your Purpose As you read the assignment, think about what the teacher does in class:

• What kinds of textbooks or coursepack did your instructor choose for the course—ones that provide background information, explain theories or perspectives, or argue a point of view?
• In lecture, does your instructor ask your opinion, try to prove her point of view, or use keywords that show up again in the assignment?
• What kinds of assignments are typical in this discipline? Social science classes often expect more research. Humanities classes thrive on interpretation and analysis.
• How do the assignments, readings, and lectures work together in the course? Instructors spend time designing courses, sometimes even arguing with their peers about the most effective course materials. Figuring out the overall design to the course will help you understand what each assignment is meant to achieve.

Now, what about your reader? Most undergraduates think of their audience as the instructor. True, your instructor is a good person to keep in mind as you write. But for the purposes of a good paper, think of your audience as someone like your roommate: smart enough to understand a clear, logical argument, but not someone who already knows exactly what is going on in your particular paper. Remember, even if the instructor knows everything there is to know about your paper topic, he or she still has to read your paper and assess your understanding. In other words, teach the material to your reader.

Aiming a paper at your audience happens in two ways: you make decisions about the tone and the level of information you want to convey.

• Tone means the “voice” of your paper. Should you be chatty, formal, or objective? Usually you will find some happy medium—you do not want to alienate your reader by sounding condescending or superior, but you do not want to, um, like, totally wig on the man, you know? Eschew ostentatious erudition: some students think the way to sound academic is to use big words. Be careful—you can sound ridiculous, especially if you use the wrong big words.
• The level of information you use depends on who you think your audience is. If you imagine your audience as your instructor and she already knows everything you have to say, you may find yourself leaving out key information that can cause your argument to be unconvincing and illogical. But you do not have to explain every single word or issue. If you are telling your roommate what happened on your favorite science fiction TV show last night, you do not say, “First a dark-haired white man of average height, wearing a suit and carrying a flashlight, walked into the room. Then a purple alien with fifteen arms and at least three eyes turned around. Then the man smiled slightly. In the background, you could hear a clock ticking. The room was fairly dark and had at least two windows that I saw.” You also do not say, “This guy found some aliens. The end.” Find some balance of useful details that support your main point.

You’ll find a much more detailed discussion of these concepts in our handout on audience .

The Grim Truth

With a few exceptions (including some lab and ethnography reports), you are probably being asked to make an argument. You must convince your audience. It is easy to forget this aim when you are researching and writing; as you become involved in your subject matter, you may become enmeshed in the details and focus on learning or simply telling the information you have found. You need to do more than just repeat what you have read. Your writing should have a point, and you should be able to say it in a sentence. Sometimes instructors call this sentence a “thesis” or a “claim.”

So, if your instructor tells you to write about some aspect of oral hygiene, you do not want to just list: “First, you brush your teeth with a soft brush and some peanut butter. Then, you floss with unwaxed, bologna-flavored string. Finally, gargle with bourbon.” Instead, you could say, “Of all the oral cleaning methods, sandblasting removes the most plaque. Therefore it should be recommended by the American Dental Association.” Or, “From an aesthetic perspective, moldy teeth can be quite charming. However, their joys are short-lived.”

Convincing the reader of your argument is the goal of academic writing. It doesn’t have to say “argument” anywhere in the assignment for you to need one. Look at the assignment and think about what kind of argument you could make about it instead of just seeing it as a checklist of information you have to present. For help with understanding the role of argument in academic writing, see our handout on argument .

What kind of evidence do you need?

There are many kinds of evidence, and what type of evidence will work for your assignment can depend on several factors–the discipline, the parameters of the assignment, and your instructor’s preference. Should you use statistics? Historical examples? Do you need to conduct your own experiment? Can you rely on personal experience? See our handout on evidence for suggestions on how to use evidence appropriately.

Make sure you are clear about this part of the assignment, because your use of evidence will be crucial in writing a successful paper. You are not just learning how to argue; you are learning how to argue with specific types of materials and ideas. Ask your instructor what counts as acceptable evidence. You can also ask a librarian for help. No matter what kind of evidence you use, be sure to cite it correctly—see the UNC Libraries citation tutorial .

You cannot always tell from the assignment just what sort of writing style your instructor expects. The instructor may be really laid back in class but still expect you to sound formal in writing. Or the instructor may be fairly formal in class and ask you to write a reflection paper where you need to use “I” and speak from your own experience.

Try to avoid false associations of a particular field with a style (“art historians like wacky creativity,” or “political scientists are boring and just give facts”) and look instead to the types of readings you have been given in class. No one expects you to write like Plato—just use the readings as a guide for what is standard or preferable to your instructor. When in doubt, ask your instructor about the level of formality she or he expects.

No matter what field you are writing for or what facts you are including, if you do not write so that your reader can understand your main idea, you have wasted your time. So make clarity your main goal. For specific help with style, see our handout on style .

Technical details about the assignment

The technical information you are given in an assignment always seems like the easy part. This section can actually give you lots of little hints about approaching the task. Find out if elements such as page length and citation format (see the UNC Libraries citation tutorial ) are negotiable. Some professors do not have strong preferences as long as you are consistent and fully answer the assignment. Some professors are very specific and will deduct big points for deviations.

Usually, the page length tells you something important: The instructor thinks the size of the paper is appropriate to the assignment’s parameters. In plain English, your instructor is telling you how many pages it should take for you to answer the question as fully as you are expected to. So if an assignment is two pages long, you cannot pad your paper with examples or reword your main idea several times. Hit your one point early, defend it with the clearest example, and finish quickly. If an assignment is ten pages long, you can be more complex in your main points and examples—and if you can only produce five pages for that assignment, you need to see someone for help—as soon as possible.

Tricks that don’t work

Your instructors are not fooled when you:

• spend more time on the cover page than the essay —graphics, cool binders, and cute titles are no replacement for a well-written paper.
• use huge fonts, wide margins, or extra spacing to pad the page length —these tricks are immediately obvious to the eye. Most instructors use the same word processor you do. They know what’s possible. Such tactics are especially damning when the instructor has a stack of 60 papers to grade and yours is the only one that low-flying airplane pilots could read.
• use a paper from another class that covered “sort of similar” material . Again, the instructor has a particular task for you to fulfill in the assignment that usually relates to course material and lectures. Your other paper may not cover this material, and turning in the same paper for more than one course may constitute an Honor Code violation . Ask the instructor—it can’t hurt.
• get all wacky and “creative” before you answer the question . Showing that you are able to think beyond the boundaries of a simple assignment can be good, but you must do what the assignment calls for first. Again, check with your instructor. A humorous tone can be refreshing for someone grading a stack of papers, but it will not get you a good grade if you have not fulfilled the task.

Critical reading of assignments leads to skills in other types of reading and writing. If you get good at figuring out what the real goals of assignments are, you are going to be better at understanding the goals of all of your classes and fields of study.

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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UMN Project Offers Guardrails for Emerging Portable MRI Research

Every story is a brain story , and these stories are being increasingly illuminated by emerging portable magnetic resonance imaging (MRI) technologies. Though they are new to the scene, these small and highly portable MRI systems offer exciting and important opportunities for researchers to conduct neuroimaging research in remote and underserved communities, filling significant gaps in scientific knowledge.

With this new technology, however, comes new ethical considerations and the need for revised protocols, which is one of the things researchers at the Consortium on Law and Values in Health, Environment & the Life Sciences are working on as part of a four-year project sponsored by the National Institute of Mental Health ’s BRAIN Initiative. This project is the third in a trajectory of grants led by Susan Wolf, the Consortium Chair and an expert on emerging technologies, and Francis Shen , the Consortium’s co-chair as well as one of the nation’s top thinkers about the ethical, legal, and societal issues raised by new neuroscience methods and neuroimaging. 

“This trajectory of grants originated in the University of Minnesota’s Center for Magnetic Resonance Research, a hotbed for innovation in neurotechnology and neuroimaging,” said Shen. It was there that researcher Michael Garwood began to develop one of the first highly portable MRI systems in the world.

Portable MRI can empower new researchers and even community groups to conduct neuroimaging research, but Wolf points out that this raises challenging questions of how to ensure safety and appropriate protections for research participants. In addition to the portable MRI technologies being developed by research institutions in controlled, regulated environments, there are also efforts to create open source MRI, meaning, in theory, that anyone could use an instruction manual to put together an MRI system.

“We’re rapidly entering a world in which there will be much greater access to portable and accessible MRI through a variety of different technologies. But what they share in common is that they open up the possibility for new types of research,” said Shen.

MRI research has historically required the participant to come to the scanner, but now the scanner is starting to go to the participant. On the one hand, this is a very exciting prospect for researchers as it gives them the opportunity to improve inclusion in research, according to Consortium Chair Susan Wolf . 

“Research has suffered from a lack of inclusion and a lack of having the kind of diverse participants we need in order to understand not just the neurological functioning of people who are able to come to a big hospital center in an urban setting, but more broadly the functioning of people across the United States and across the world,” said Wolf. “The ability to go into a remote field setting that could be hundreds of miles from a major hospital allows researchers to gain needed knowledge and build the kind of robust, representative databases that are essential to making progress in understanding the brain.”

On the flip side, introducing this technology to populations that are potentially in an underserved setting without easy access to healthcare and healthcare coverage raises questions. For example, how should a researcher handle discovering an incidental finding, such as a mass or a tumor or other brain pathology?

Another consideration is building appropriate capacity and oversight for new researchers that may now gain access to portable MRI technology. How, for example, can a community college or a psychology professor in a small college without a history of institutional review boards or the oversight of a safety committee conduct MRI research ethically and safely?

Yet a third consideration (among many more) is ensuring privacy for the participants. Portable MRI machines could be set up anywhere. A person could be getting a brain scan while crowds of people pass by and that data could be transmitted to the cloud. How do researchers guarantee privacy for these individuals and their data?

As leaders of a national working group of neuroethics, neurolaw, and neuroscience experts, Shen and Wolf are at the forefront of a project with the ultimate goal of developing evidence-based recommendations for the ethical conduct of research using portable MRI. After a four-year process researching these thorny issues, the working group put together 15 recommendations that will be published in the Journal of the Law and the Biosciences, and in a forthcoming symposium in the Journal of Law, Medicine & Ethics along with a checklist to aid researchers using portable MRI. The Consortium also held a conference in December 2023 , and these recordings are available to the public online. 

“The working group sees great value and potential in these tools. Sometimes I think that ethics of research gets viewed as the ethics police, like we’re trying to stop something,” said Shen. “But if we don’t attend to these ethical and legal issues, the technology won’t produce the benefits it potentially could. We’re trying to create guardrails that can help scientists achieve the full potential of portable MRI.”

The Consortium on Law and Values has been a homebase for grant-funded work on the ethical, legal, and societal implications of emerging biomedical technology for years and is home to a number of grants on research ethics and a range of technologies . The Consortium has a long history of consulting and collaborating with University of Minnesota researchers and those at other institutions on multi-institutional grant proposals. As a confederation of centers, the Consortium’s work crosses most of the University, with 21 member centers dealing with the societal implications of biomedicine and the life sciences.

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Google fires 28 workers for protesting $1.2 billion Israel contract

Google has fired more than two dozen employees for protesting its $1.2 billion contract to provide the Israeli government and military with cloud and artificial intelligence services.

Twenty-eight people were fired after nine employees were arrested Tuesday night following a sit-in at the company’s offices in Seattle, New York and Sunnyvale, California — including one at Google Cloud CEO Thomas Kurian’s office, according to the group that organized the demonstration, No Tech for Apartheid.

Protesters sat in his office for more than nine hours, wearing shirts and raising banners that read “No more genocide for profit,” until they were eventually arrested.

It is the latest high-profile clash in the U .S. stoked by tensions over the Israel-Hamas war .

“These protests were part of a longstanding campaign by a group of organizations and people who largely don’t work at Google," a Google spokesperson said in a statement Wednesday.

"A small number of employee protesters entered and disrupted a few of our locations. Physically impeding other employees’ work and preventing them from accessing our facilities is a clear violation of our policies, and completely unacceptable behavior. After refusing multiple requests to leave the premises, law enforcement was engaged to remove them to ensure office safety," the statement said.

"We have so far concluded individual investigations that resulted in the termination of employment for 28 employees, and will continue to investigate and take action as needed," it added.

The protests were led by No Tech for Apartheid, a group of tech workers who have been demanding Amazon and Google drop their Project Nimbus, which is a joint $1.2 billion contract providing the Israeli government and military with cloud infrastructure, artificial intelligence services and data centers.

No Tech for Apartheid said that the workers had engaged in a “peaceful sit-in and refusing to leave did not damage property or threaten other workers” and that Google had fired them “indiscriminately.”

“This excuse to avoid confronting us and our concerns directly, and attempt to justify its illegal, retaliatory firings, is a lie,” it said in a statement late Wednesday, accusing the company of valuing its contract with the Israeli government more than its employees.

Google issued a stern warning to its employees, with the company’s vice president of global security, Chris Rackow, saying, “If you’re one of the few who are tempted to think we’re going to overlook conduct that violates our policies, think again,” according to an internal memo obtained by CNBC.

The company also said its work "is not directed at highly sensitive, classified, or military workloads relevant to weapons or intelligence services.”

“Google Cloud supports numerous governments around the world in countries where we operate, including the Israeli government, with our generally available cloud computing services,” a Google spokesperson told CNBC on Wednesday evening.

The Israeli prime minister's office and the Israel Defense Forces did not immediately respond to requests for comment from NBC News.

The workers were also protesting labor conditions at the company — saying the contract was affecting “health and safety on the job” — and what they said was Google’s disregard “for the well-being of our Palestinian, Arab, and Muslim colleagues  facing  Google-enabled racism, discrimination, harassment, and censorship.”

The project has become a “major health & safety workplace conditions issue,” with many employees quitting after having cited “mental health consequences of working at a company that is using their labor to enable a genocide,” the group said in a statement posted Wednesday on Medium .

“On a personal level, I am opposed to Google taking any military contracts — no matter which government they’re with or what exactly the contract is about,” Cheyne Anderson, a Google Cloud software engineer based in Washington, told CNBC on Wednesday.

Anderson was one of the nine workers arrested across the country Tuesday, with some of the arrests streamed live on Twitch.

Four people were arrested for “trespassing” inside Google’s New York office, a New York police spokesperson told NBC News on Wednesday. Almost 50 protesters had taken part in the demonstration, the spokesperson said.

Mithil Aggarwal is a Hong Kong-based reporter/producer for NBC News.

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Updated Analyses Suggest Continued Decline in Research Project Grant Funding Inequalities for NIH-Supported Investigators, but Organizational Inequalities Remain: FY 1998 to FY 2023

We previously showed in this January 2022 blog (based on this paper ) that the inequalities in the distribution of Research Project Grant (RPG) funding to principal investigators increased, especially at the top end of funding, during the NIH budget doubling and the first few years after the 2013 budget sequestration. The degree of inequality appeared to fall, however, after NIH implemented the Next Generation Researchers Initiative (NGRI) near the end of  FY2017. Here we present follow-up data that shows that the trends seen in recent years appear to be continuing in fiscal year (FY) 2023.

When reading this post, please keep in mind that, in general, NIH awards grants to institutions , not individual scientists. For simplicity here, we refer to PIs receiving awards, but understand this means the scientists designated by their institutions as Principal Investigators.

Measuring Inequality

Our previous post details how economists describe inequality, which we used for our analyses here. In brief:

• The “Top-proportion” allows us to track the percent of funds awarded to the top XX percent of investigators. For example, what percent of funds go to the top 1% of investigators. Were funds allocated uniformly, the top 1% of investigators would receive 1% of the funds. In an extremely unequal situation, the top 1% of investigators might receive over 50% of the funds.
• The “standard deviation of the log of funding (“SD-log”)”, by contrast, reflects more on the low and middle rungs of funding.
• The “Theil Index” is more sensitive to the higher rungs of funding, like the top-proportion approach. It enables us to explore inequalities between groups as well as those within groups.

Inequality of RPG Funding for Principal Investigators

As we saw previously, the percent of RPG funds going to the top 1% and top 10% of investigators increased during the NIH budget doubling and following the first years after budget increases following the FY2013 budget sequestration (Figure 1, panels A and B). After the announcement of NGRI late in FY2017 , however, the degree of inequality fell. We can see that in FY 2023 the percent of funds going to the top 1% of investigators dropped below FY2013 levels (Figure 1, panel B). The Theil index showed a similar trajectory (Figure 1, panel D). we did not see any clear trends in the SD-log (Figure 1, panel C), suggesting no changes seen for researchers at the lower or middle rungs of funding.

The FY 2023 data also demonstrate similar characteristics for the top 1% of funded investigators as seen before. They are more likely to be in late career stages (Panel A), male (Panel B), white (Panel C), hold an MD degree (Panel D), and supported by multiple RPG awards (see also Table 1).

Table 1: Investigator Characteristics According to Centile of Funding in Fiscal Year 2023. Values shown in parentheses are percentages for categorical variables and IQR for continuous variables. IQR = inter-quartile range. ND = not displayed due to small cell size.

Inequality Between and Within Groups

Next, we sought to understand if the inequalities seen were “within-group” or “between-group.” As a reminder from our prior post, we can consider height inequalities of athletes to conceptualize this concept. For instance, there is a great deal of “between-group” inequalities in the heights of jockeys and professional basketball players. On the other hand, we would primarily observe “within-group” inequalities if we focused on professional basketball players from either the east or west coast.

Focusing our attention back on NIH supported scientists categorized by career stage, we can use Theil index to assess these types of inequalities. A visual look at the distribution of funding for these PIs in FY 2023 shows the inequalities are primarily within- group for gender, race-ethnicity, and degree (Figure 2).

Organizational Inequalities

While investigator inequalities declined since FY2017 (Figure 1, panels A, B, and D), we saw an increase in organizational inequalities over the same time (Figure 3, Panels A, B, and D). The degree of organizational inequality was still lower in FY2023 than when it peaked in the late 2000s.

There were also between-group inequalities, with medical schools receiving substantially more funding than other kinds of institutions (Figure 4).

Our follow-up (FY 2023) analyses continue to show that investigator inequalities substantially declined since NGRI. However, organizational inequalities modestly increased during the same time. We will continue to follow these data to better understand how our programs and policies can help us reduce funding inequalities when possible.

RELATED NEWS

This was an exceptionally informative publication and we thank yo so very much. Our organization, which is quite small and receives a small 1.4 million dollar grant from NIH had to make a series of obscure hurdles in the submission process. With a single grants manager who serves other roles in our organization, the submission was wrought with possible single critical failures, as NASA would say, that would have tanked our months of work before it was able to be reviewed. As an example, after submitting our first proposal years ago, we had not received a confirmation and wondered what was wrong. After over an hour of calls, we were informed we had not had a “signing official signature”. Such things have improved, but there is so much more that could be done to ensure small institutions can compete with universities that had pre-approval grant managers that exceed the total employees of a the small institutions. I will not go into the details, but a very detailed seminar for small org submitters that includes small numbers of attendees to allow for many questions would be wonderful.

On another level, the review process, in which I have participated in multiple times. had a substantial improvement with the bias training recently instituted. My experience is that the readers give famous institutions with massive funding streams and seasoned PI’s, far more latitude and do not question the proposal on the same level they do for smaller institutions.

More access to program, managers/officers in the proposal process would help. They have been very helpful in ensuring we execute the grant to its best level.

How would the numbers change if awards funding clinical trials were excluded?

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Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"

dvlab-research/MGM

Folders and files, repository files navigation.

The framework supports a series of dense and MoE Large Language Models (LLMs) from 2B to 34B with image understanding, reasoning, and generation simultaneously. We build this repo based on LLaVA.

• [04/15] 🔥 The Hugging Face demo is available. It's a 13B-HD version, welcome to watch and try.
• [03/28] 🔥 Mini-Gemini is coming! We release the paper , demo , code , models , and data !

Preparation

Acknowledgement.

We provide some selected examples in this section. More examples can be found in our project page . Feel free to try our online demo !

Please follow the instructions below to install the required packages.

NOTE: If you want to use the 2B version, please ensure to install the latest version Transformers (>=4.38.0).

• Clone this repository
• Install Package
• Install additional packages for training cases

The framework is conceptually simple: dual vision encoders are utilized to provide low-resolution visual embedding and high-resolution candidates; patch info mining is proposed to conduct patch-level mining between high-resolution regions and low-resolution visual queries; LLM is utilized to marry text with images for both comprehension and generation at the same time.

We provide all our fully finetuned models on Stage 1 and 2 data:

Here are the pretrained weights on Stage 1 data only:

We provide the processed data for the model training. For model pretraining, please download the following the training image-based data and organize them as:

-> means put the data in the local folder.

• LLaVA Images -> data/MGM-Pretrain/images , data/MGM-Finetune/llava/LLaVA-Pretrain/images
• ALLaVA Caption -> data/MGM-Pretrain/ALLaVA-4V

For model finetuning, please download the following the instruction data and organize them as:

• COCO train2017 -> data/MGM-Finetune/coco
• GQA -> data/MGM-Finetune/gqa
• OCR-VQA ( we save all files as .jpg ) -> data/MGM-Finetune/ocr_vqa
• TextVQA (not included for training) -> data/MGM-Finetune/textvqa
• VisualGenome part1 , VisualGenome part2 -> data/MGM-Finetune/vg
• ShareGPT4V-100K -> data/MGM-Finetune/sam , share_textvqa , wikiart , web-celebrity , web-landmark
• LAION GPT4V -> data/MGM-Finetune/gpt4v-dataset
• ALLaVA Instruction -> data/MGM-Pretrain/ALLaVA-4V
• DocVQA -> data/MGM-Finetune/docvqa
• ChartQA -> data/MGM-Finetune/chartqa
• DVQA -> data/MGM-Finetune/dvqa
• AI2D -> data/MGM-Finetune/ai2d

For model evaluation, please follow this link for preparation. We use some extra benchmarks for evaluation. please download the following the training image-based data and organize them as:

• MMMU -> data/MGM-Eval/MMMU
• MMB -> data/MGM-Eval/MMB
• MathVista -> data/MGM-Eval/MathVista

Please put the pretrained data, finetuned data, and eval data in MGM-Pretrain , MGM-Finetune , and MGM-Eval subset following Structure .

For meta info, please download the following files and organize them as in Structure .

IMPORTANT: mgm_generation_pure_text.json is a generation-related subset. DO NOT merge it with mgm_instruction.json as it is already included in it. You may merge this file with your customized LLM/VLM SFT dataset to enable the reasoning generation ability.

Pretrained Weights

We recommend users to download the pretrained weights from the following link CLIP-Vit-L-336 , OpenCLIP-ConvNeXt-L , Gemma-2b-it , Vicuna-7b-v1.5 , Vicuna-13b-v1.5 , Mixtral-8x7B-Instruct-v0.1 , and Nous-Hermes-2-Yi-34B , and put them in model_zoo following Structure .

The folder structure should be organized as follows before training.

The training process consists of two stages: (1) feature alignment stage: bridge the vision and language tokens; (2) instruction tuning stage: teach the model to follow multimodal instructions.

Our models are trained on 8 A100 GPUs with 80GB memory. To train on fewer GPUs, you can reduce the per_device_train_batch_size and increase the gradient_accumulation_steps accordingly. Always keep the global batch size the same: per_device_train_batch_size x gradient_accumulation_steps x num_gpus .

Please make sure you download and organize the data following Preparation before training.

NOTE: Please set hostfile for 2 machine training and hostfile_4 for 4 machine training.

If you want to train and finetune the framework, please run the following command for MGM-7B with image size 336:

or for MGM-13B with image size 336:

Because we reuse the pre-trained projecter weights from the MGM-7B, you can directly use the MGM-7B-HD with image size 672 for stage-2 instruction tuning:

Please find more training scripts of gemma , llama , mixtral , and yi in scripts/ .

We perform evaluation on several image-based benchmarks. Please download the evaluation data following Preparation and organize them as in Structure .

If you want to evaluate the model on image-based benchmarks, please use the scripts in scripts/MODEL_PATH/eval . For example, run the following command for TextVQA evaluation with MGM-7B-HD:

Please find more evaluation scripts in scripts/MODEL_PATH .

CLI Inference

Chat with images without the need of Gradio interface. It also supports multiple GPUs, 4-bit and 8-bit quantized inference. With 4-bit quantization. Please make sure you have installed diffusers and PaddleOCR (only for better experience with OCR), and try this for image and generation inference:

or try this better experience with OCR (make sure you have installed PaddleOCR ):

or try this for inference with generation (make sure you have installed diffusers ):

You can also try 8bit or even 4bit for efficient inference

Gradio Web UI

Here, we adopt the Gradio UI similar to that in LLaVA to provide a user-friendly interface for our models. To launch a Gradio demo locally, please run the following commands one by one. If you plan to launch multiple model workers to compare between different checkpoints, you only need to launch the controller and the web server ONCE .

Launch a controller

Launch a gradio web server..

You just launched the Gradio web interface. Now, you can open the web interface with the URL printed on the screen. You may notice that there is no model in the model list. Do not worry, as we have not launched any model worker yet. It will be automatically updated when you launch a model worker.

Launch a model worker

This is the actual worker that performs the inference on the GPU. Each worker is responsible for a single model specified in --model-path .

Wait until the process finishes loading the model and you see "Uvicorn running on ...". Now, refresh your Gradio web UI, and you will see the model you just launched in the model list.

You can launch as many workers as you want, and compare between different models in the same Gradio interface. Please keep the --controller the same, and modify the --port and --worker to a different port number for each worker.

If you are using an Apple device with an M1 or M2 chip, you can specify the mps device by using the --device flag: --device mps .

Launch a model worker (Multiple GPUs, when GPU VRAM <= 24GB)

If the VRAM of your GPU is less than 24GB (e.g., RTX 3090, RTX 4090, etc.), you may try running it with multiple GPUs. Our latest code base will automatically try to use multiple GPUs if you have more than one GPU. You can specify which GPUs to use with CUDA_VISIBLE_DEVICES . Below is an example of running with the first two GPUs.

Launch a model worker (4-bit, 8-bit inference, quantized)

You can launch the model worker with quantized bits (4-bit, 8-bit), which allows you to run the inference with reduced GPU memory footprint. Note that inference with quantized bits may not be as accurate as the full-precision model. Simply append --load-4bit or --load-8bit to the model worker command that you are executing. Below is an example of running with 4-bit quantization.

We provide some examples in this section. More examples can be found in our project page .

Hi-Resolution Understanding

Generation with Reasoning

If you find this repo useful for your research, please consider citing the paper

This project is not affiliated with Google LLC.

We would like to thank the following repos for their great work:

• This work is built upon the LLaVA .
• This work utilizes LLMs from Gemma , Vicuna , Mixtral , and Nous-Hermes .

The data and checkpoint is intended and licensed for research use only. They are also restricted to uses that follow the license agreement of LLaVA, LLaMA, Vicuna and GPT-4. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes.

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Underground carbon storage top of mind for student team

• Travis Williams

22 Apr 2024

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Researching how to successfully store carbon underground is helping a group of Virginia Tech students reach new heights.

“Carbon sequestration is really kind of an elegant solution for global warming,” said Lars Koehn, a third-year Ph.D. candidate in the Department of Geosciences. “Normally, we pull carbon out of the ground in the form of fossil fuels, use it for energy, and then put it into the air. But with carbon sequestration, we’re going to put it straight back into the ground into the same types of rocks we pulled it from. So it’s kind of like a circular economy for carbon.”

Koehn is one of eight Virginia Tech graduate students who recently teamed up to research and create a plan for a carbon sequestration project off the coast of Louisiana as a part of the Society of Exploration Geophysicists’ (SEG) EVOLVE Carbon Solutions Professional Program . After students presented their work at the Carbon Capture, Utilization, and Storage Conference in March, the global not-for-profit organization selected Virginia Tech as the host of the first virtual version of its U.S. regional geoscience trivia contests, officially titled “Challenge Bowl.”  

“Some of the SEG EVOLVE teams really require a mentor to provide detailed guidance through the project, but this team has been extremely self-driven,” said Annabella Betancourt, managing director of programs for the society. “They were so diligent and responsible. If they could energize every team with the same spirit and enthusiasm, it would show others how to find the most success within this program.”

The Virginia Tech chapter of the Society of Exploration Geophysicists’ will host the bowl on April 29. The event will feature two-person teams from universities and colleges spanning the country competing for the opportunity to advance to the International Challenge Bowl Finals at IMAGE, the International Meeting for Applied Geoscience and Energy , in Houston this August. Participation in the event is free for qualifying students with the top three teams earning cash prizes.

Hosting the virtual competition marks a milestone for the Virginia Tech SEG EVOLVE team, which consists of four students from the Department of Geosciences and four from the Department of Mining and Minerals Engineering . Armed with seismic and oil drilling data donated by industry partner Fairfield Geotechnologies, the team was tasked with developing a full plan for the implementation of a carbon sequestration site, including the transportation of the carbon, adherence to government regulations, and projections of economic impacts.

“They did a full-blown feasibility study for carbon storage along the Gulf of Mexico, and it was peer-reviewed by their industry mentors,” said Ryan Pollyea, associate professor in the Department of Geosciences and the team’s faculty advisor. “It speaks volumes that this group did such a good job, that SEG is seeking deeper engagement with Virginia Tech.”

Jessica Dostal, a student and early career advisor with the society, said connecting SEG EVOLVE teams with mentors from industry was a critical part of the program’s goal of providing the type of real-life experience that empowers students to “hit the ground running” once they graduate.

“The whole point of the program is to develop those professional practices that help bridge the gap between what you learn in school and industry, and really learn to apply what you’ve learned,” Dostal said.

Providing students with real-world learning opportunities is also in line with the mission of Virginia Tech Advantage.

Koehn said the project did help bridge that classroom-to-workplace gap by posing the team with questions and concerns outside the scope of the traditional classroom or textbook.

“We were addressing things we don’t normally address as students,” he said. “Stuff like, how could this project make money, what are the costs of the project, and how would you get this project approved by the state.”

Along with the opportunities for individual growth, the students said they also see a collective opportunity for the university in this field of research and the SEG U.S. Regional Challenge Bowl is just the tip of the iceberg.

“Virginia Tech can be a major player in carbon sequestration, if we play our cards right,” said Matt Tascione, a Ph.D. student studying geophysics, team member, and president of the Virginia Tech student chapter of the society. “The opportunities are here for us to really latch on to it, we just have to make the most of that. And I think this is a really great way to start doing that.”

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Atlas, a Humanoid Robot From Boston Dynamics, Is Leaping Into Retirement

It has been replaced by a new model, which will be used in automotive manufacturing. A farewell video featured the old machine running outdoors, performing back flips and awkwardly shimmying.

By Johnny Diaz

Atlas, the humanoid robot that dazzled followers for more than a decade with its outdoor running, awkward dancing and acrobatic back flips, has powered down. In other words, it is retiring.

On Wednesday, Boston Dynamics, the company that created it, announced the arrival of the next generation of humanoid robots — a fully electric robot (also named Atlas) for real-world commercial and industrial applications.

For anyone worried about what would happen to the hydraulic bipedal machine (a robot home? the junkyard? a window display?) that was created for research purposes, the company had an answer. A spokesman, Nikolas Noel, said that retirement would mean that the Atlas would move to its “robot retirement home,” which is to say that it would be “sitting in our office lobby museum” with other decommissioned robots.

The old Atlas was used to research full-body mobility and to explore what was possible in robotics, Mr. Noel said. It was not designed for commercial use and was first developed as part of a competition to further the use of robots “in future natural and man-made disasters,” according to the Defense Advanced Research Projects Agency of the Pentagon.

“For almost a decade, Atlas has sparked our imagination, inspired the next generations of roboticists and leapt over technical barriers in the field,” Boston Dynamics said in a farewell video posted on social media on Tuesday.

“Now it’s time for our hydraulic Atlas robot to kick back and relax,” the company said.

The company’s farewell video captured the brawny 6-foot-2 machine in action over the years. That included taking a stroll in a grassy field, leaping on boxes (or picking up 10-pound ones), carefully walking on a rock bed and awkwardly shimmying.

But the video also featured some mishaps, including the robot’s frequent stumbles such as falling over on platforms, rolling down a hill and leaking hydraulic fluid from its leg inside a lab.

The new model has a big round head that spins completely around, is leaner and can nimbly rise from a horizontal position to a bipedal stance in seconds. Its hips appear to be reversible, so it might be better than us at some yoga poses.

The company’s commercial models include Spot, an agile four-legged robot, and Stretch, an elongated warehouse platform.

“The new Atlas builds on decades of research and furthers our commitment to delivering the most capable, useful mobile robots solving the toughest challenges in industry today: with Spot, with Stretch, and now with Atlas,” the company wrote in a video post introducing the new robot .

The new model will be used to build “the next generation of automotive manufacturing capabilities” with Hyundai Motor Company, which owns Boston Dynamics.

The original Atlas made its public debut in 2013 in Waltham, Mass., where Boston Dynamics is based, after it received initial funding from the Defense Advanced Research Projects Agency.

The company was awarded a $10.8 million contract to work with the agency on developing Atlas for the D.A.R.P.A. Robotics Challenge.

There were seven updated Atlases, each of which was made from aircraft-grade aluminum and titanium and weighed 330 pounds. They were then used as base models by teams competing for a $2 million prize in the challenge. But the final challenge was won by a Korean team that built a robot that could kneel and roll around on wheels as it performed tasks.

During its training, researchers were tough on the Atlas, even hurling weights at it to see how well it responded and adapted to challenges inside and outside the lab.

Johnny Diaz is a general assignment reporter covering breaking news. He previously worked for the South Florida Sun Sentinel and The Boston Globe. More about Johnny Diaz

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Gender pay gap in U.S. hasn’t changed much in two decades

The gender gap in pay has remained relatively stable in the United States over the past 20 years or so. In 2022, women earned an average of 82% of what men earned, according to a new Pew Research Center analysis of median hourly earnings of both full- and part-time workers. These results are similar to where the pay gap stood in 2002, when women earned 80% as much as men.

As has long been the case, the wage gap is smaller for workers ages 25 to 34 than for all workers 16 and older. In 2022, women ages 25 to 34 earned an average of 92 cents for every dollar earned by a man in the same age group – an 8-cent gap. By comparison, the gender pay gap among workers of all ages that year was 18 cents.

While the gender pay gap has not changed much in the last two decades, it has narrowed considerably when looking at the longer term, both among all workers ages 16 and older and among those ages 25 to 34. The estimated 18-cent gender pay gap among all workers in 2022 was down from 35 cents in 1982. And the 8-cent gap among workers ages 25 to 34 in 2022 was down from a 26-cent gap four decades earlier.

The gender pay gap measures the difference in median hourly earnings between men and women who work full or part time in the United States. Pew Research Center’s estimate of the pay gap is based on an analysis of Current Population Survey (CPS) monthly outgoing rotation group files ( IPUMS ) from January 1982 to December 2022, combined to create annual files. To understand how we calculate the gender pay gap, read our 2013 post, “How Pew Research Center measured the gender pay gap.”

The COVID-19 outbreak affected data collection efforts by the U.S. government in its surveys, especially in 2020 and 2021, limiting in-person data collection and affecting response rates. It is possible that some measures of economic outcomes and how they vary across demographic groups are affected by these changes in data collection.

In addition to findings about the gender wage gap, this analysis includes information from a Pew Research Center survey about the perceived reasons for the pay gap, as well as the pressures and career goals of U.S. men and women. The survey was conducted among 5,098 adults and includes a subset of questions asked only for 2,048 adults who are employed part time or full time, from Oct. 10-16, 2022. Everyone who took part is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. Read more about the ATP’s methodology .

Here are the questions used in this analysis, along with responses, and its methodology .

The  U.S. Census Bureau has also analyzed the gender pay gap, though its analysis looks only at full-time workers (as opposed to full- and part-time workers). In 2021, full-time, year-round working women earned 84% of what their male counterparts earned, on average, according to the Census Bureau’s most recent analysis.

Much of the gender pay gap has been explained by measurable factors such as educational attainment, occupational segregation and work experience. The narrowing of the gap over the long term is attributable in large part to gains women have made in each of these dimensions.

Related: The Enduring Grip of the Gender Pay Gap

Even though women have increased their presence in higher-paying jobs traditionally dominated by men, such as professional and managerial positions, women as a whole continue to be overrepresented in lower-paying occupations relative to their share of the workforce. This may contribute to gender differences in pay.

Other factors that are difficult to measure, including gender discrimination, may also contribute to the ongoing wage discrepancy.

Perceived reasons for the gender wage gap

When asked about the factors that may play a role in the gender wage gap, half of U.S. adults point to women being treated differently by employers as a major reason, according to a Pew Research Center survey conducted in October 2022. Smaller shares point to women making different choices about how to balance work and family (42%) and working in jobs that pay less (34%).

There are some notable differences between men and women in views of what’s behind the gender wage gap. Women are much more likely than men (61% vs. 37%) to say a major reason for the gap is that employers treat women differently. And while 45% of women say a major factor is that women make different choices about how to balance work and family, men are slightly less likely to hold that view (40% say this).

Parents with children younger than 18 in the household are more likely than those who don’t have young kids at home (48% vs. 40%) to say a major reason for the pay gap is the choices that women make about how to balance family and work. On this question, differences by parental status are evident among both men and women.

Views about reasons for the gender wage gap also differ by party. About two-thirds of Democrats and Democratic-leaning independents (68%) say a major factor behind wage differences is that employers treat women differently, but far fewer Republicans and Republican leaners (30%) say the same. Conversely, Republicans are more likely than Democrats to say women’s choices about how to balance family and work (50% vs. 36%) and their tendency to work in jobs that pay less (39% vs. 30%) are major reasons why women earn less than men.

Democratic and Republican women are more likely than their male counterparts in the same party to say a major reason for the gender wage gap is that employers treat women differently. About three-quarters of Democratic women (76%) say this, compared with 59% of Democratic men. And while 43% of Republican women say unequal treatment by employers is a major reason for the gender wage gap, just 18% of GOP men share that view.

Pressures facing working women and men

Family caregiving responsibilities bring different pressures for working women and men, and research has shown that being a mother can reduce women’s earnings , while fatherhood can increase men’s earnings .

Employed women and men are about equally likely to say they feel a great deal of pressure to support their family financially and to be successful in their jobs and careers, according to the Center’s October survey. But women, and particularly working mothers, are more likely than men to say they feel a great deal of pressure to focus on responsibilities at home.

About half of employed women (48%) report feeling a great deal of pressure to focus on their responsibilities at home, compared with 35% of employed men. Among working mothers with children younger than 18 in the household, two-thirds (67%) say the same, compared with 45% of working dads.

When it comes to supporting their family financially, similar shares of working moms and dads (57% vs. 62%) report they feel a great deal of pressure, but this is driven mainly by the large share of unmarried working mothers who say they feel a great deal of pressure in this regard (77%). Among those who are married, working dads are far more likely than working moms (60% vs. 43%) to say they feel a great deal of pressure to support their family financially. (There were not enough unmarried working fathers in the sample to analyze separately.)

About four-in-ten working parents say they feel a great deal of pressure to be successful at their job or career. These findings don’t differ by gender.

Gender differences in job roles, aspirations

Overall, a quarter of employed U.S. adults say they are currently the boss or one of the top managers where they work, according to the Center’s survey. Another 33% say they are not currently the boss but would like to be in the future, while 41% are not and do not aspire to be the boss or one of the top managers.

Men are more likely than women to be a boss or a top manager where they work (28% vs. 21%). This is especially the case among employed fathers, 35% of whom say they are the boss or one of the top managers where they work. (The varying attitudes between fathers and men without children at least partly reflect differences in marital status and educational attainment between the two groups.)

In addition to being less likely than men to say they are currently the boss or a top manager at work, women are also more likely to say they wouldn’t want to be in this type of position in the future. More than four-in-ten employed women (46%) say this, compared with 37% of men. Similar shares of men (35%) and women (31%) say they are not currently the boss but would like to be one day. These patterns are similar among parents.

Note: This is an update of a post originally published on March 22, 2019. Anna Brown and former Pew Research Center writer/editor Amanda Barroso contributed to an earlier version of this analysis. Here are the questions used in this analysis, along with responses, and its methodology .

What is the gender wage gap in your metropolitan area? Find out with our pay gap calculator

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