what does research work means

• Skip to main content
• Skip to primary sidebar
• Skip to footer
• QuestionPro

• Solutions Industries Gaming Automotive Sports and events Education Government Travel & Hospitality Financial Services Healthcare Cannabis Technology Use Case NPS+ Communities Audience Contactless surveys Mobile LivePolls Member Experience GDPR Positive People Science 360 Feedback Surveys
• Resources Blog eBooks Survey Templates Case Studies Training Help center

Home Market Research

What is Research: Definition, Methods, Types & Examples

The search for knowledge is closely linked to the object of study; that is, to the reconstruction of the facts that will provide an explanation to an observed event and that at first sight can be considered as a problem. It is very human to seek answers and satisfy our curiosity. Let’s talk about research.

Content Index

What is Research?

What are the characteristics of research.

• Comparative analysis chart

Qualitative methods

Quantitative methods, 8 tips for conducting accurate research.

Research is the careful consideration of study regarding a particular concern or research problem using scientific methods. According to the American sociologist Earl Robert Babbie, “research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods.”

Inductive methods analyze an observed event, while deductive methods verify the observed event. Inductive approaches are associated with qualitative research , and deductive methods are more commonly associated with quantitative analysis .

Research is conducted with a purpose to:

• Identify potential and new customers
• Understand existing customers
• Set pragmatic goals
• Develop productive market strategies
• Address business challenges
• Put together a business expansion plan
• Identify new business opportunities
• Good research follows a systematic approach to capture accurate data. Researchers need to practice ethics and a code of conduct while making observations or drawing conclusions.
• The analysis is based on logical reasoning and involves both inductive and deductive methods.
• Real-time data and knowledge is derived from actual observations in natural settings.
• There is an in-depth analysis of all data collected so that there are no anomalies associated with it.
• It creates a path for generating new questions. Existing data helps create more research opportunities.
• It is analytical and uses all the available data so that there is no ambiguity in inference.
• Accuracy is one of the most critical aspects of research. The information must be accurate and correct. For example, laboratories provide a controlled environment to collect data. Accuracy is measured in the instruments used, the calibrations of instruments or tools, and the experiment’s final result.

What is the purpose of research?

There are three main purposes:

• Exploratory: As the name suggests, researchers conduct exploratory studies to explore a group of questions. The answers and analytics may not offer a conclusion to the perceived problem. It is undertaken to handle new problem areas that haven’t been explored before. This exploratory data analysis process lays the foundation for more conclusive data collection and analysis.

LEARN ABOUT: Descriptive Analysis

• Descriptive: It focuses on expanding knowledge on current issues through a process of data collection. Descriptive research describe the behavior of a sample population. Only one variable is required to conduct the study. The three primary purposes of descriptive studies are describing, explaining, and validating the findings. For example, a study conducted to know if top-level management leaders in the 21st century possess the moral right to receive a considerable sum of money from the company profit.

LEARN ABOUT: Best Data Collection Tools

• Explanatory: Causal research or explanatory research is conducted to understand the impact of specific changes in existing standard procedures. Running experiments is the most popular form. For example, a study that is conducted to understand the effect of rebranding on customer loyalty.

Here is a comparative analysis chart for a better understanding:

It begins by asking the right questions and choosing an appropriate method to investigate the problem. After collecting answers to your questions, you can analyze the findings or observations to draw reasonable conclusions.

When it comes to customers and market studies, the more thorough your questions, the better the analysis. You get essential insights into brand perception and product needs by thoroughly collecting customer data through surveys and questionnaires . You can use this data to make smart decisions about your marketing strategies to position your business effectively.

To make sense of your study and get insights faster, it helps to use a research repository as a single source of truth in your organization and manage your research data in one centralized data repository .

Types of research methods and Examples

Research methods are broadly classified as Qualitative and Quantitative .

Both methods have distinctive properties and data collection methods .

Qualitative research is a method that collects data using conversational methods, usually open-ended questions . The responses collected are essentially non-numerical. This method helps a researcher understand what participants think and why they think in a particular way.

Types of qualitative methods include:

• One-to-one Interview
• Focus Groups
• Ethnographic studies
• Text Analysis

Quantitative methods deal with numbers and measurable forms . It uses a systematic way of investigating events or data. It answers questions to justify relationships with measurable variables to either explain, predict, or control a phenomenon.

Types of quantitative methods include:

• Survey research
• Descriptive research
• Correlational research

LEARN MORE: Descriptive Research vs Correlational Research

Remember, it is only valuable and useful when it is valid, accurate, and reliable. Incorrect results can lead to customer churn and a decrease in sales.

It is essential to ensure that your data is:

• Valid – founded, logical, rigorous, and impartial.
• Accurate – free of errors and including required details.
• Reliable – other people who investigate in the same way can produce similar results.
• Timely – current and collected within an appropriate time frame.
• Complete – includes all the data you need to support your business decisions.

Gather insights

• Identify the main trends and issues, opportunities, and problems you observe. Write a sentence describing each one.
• Keep track of the frequency with which each of the main findings appears.
• Make a list of your findings from the most common to the least common.
• Evaluate a list of the strengths, weaknesses, opportunities, and threats identified in a SWOT analysis .
• Prepare conclusions and recommendations about your study.
• Act on your strategies
• Look for gaps in the information, and consider doing additional inquiry if necessary
• Plan to review the results and consider efficient methods to analyze and interpret results.

Review your goals before making any conclusions about your study. Remember how the process you have completed and the data you have gathered help answer your questions. Ask yourself if what your analysis revealed facilitates the identification of your conclusions and recommendations.

LEARN MORE ABOUT OUR SOFTWARE         FREE TRIAL

MORE LIKE THIS

Top 7 Focus Group Software for Comprehensive Research

Apr 17, 2024

Top 7 DEI Software Solutions to Empower Your Workplace 

Apr 16, 2024

The Power of AI in Customer Experience — Tuesday CX Thoughts

Employee Lifecycle Management Software: Top of 2024

Apr 15, 2024

Other categories

• Academic Research
• Artificial Intelligence
• Assessments
• Brand Awareness
• Case Studies
• Communities
• Consumer Insights
• Customer effort score
• Customer Engagement
• Customer Experience
• Customer Loyalty
• Customer Research
• Customer Satisfaction
• Employee Benefits
• Employee Engagement
• Employee Retention
• Friday Five
• General Data Protection Regulation
• Insights Hub
• Life@QuestionPro
• Market Research
• Mobile diaries
• Mobile Surveys
• New Features
• Online Communities
• Question Types
• Questionnaire
• QuestionPro Products
• Release Notes
• Research Tools and Apps
• Revenue at Risk
• Survey Templates
• Training Tips
• Uncategorized
• Video Learning Series
• What’s Coming Up
• Workforce Intelligence

• U.S. Department of Health & Human Services

• Virtual Tour
• Staff Directory
• En Español

You are here

Science, health, and public trust.

September 8, 2021

Explaining How Research Works

We’ve heard “follow the science” a lot during the pandemic. But it seems science has taken us on a long and winding road filled with twists and turns, even changing directions at times. That’s led some people to feel they can’t trust science. But when what we know changes, it often means science is working.

Explaining the scientific process may be one way that science communicators can help maintain public trust in science. Placing research in the bigger context of its field and where it fits into the scientific process can help people better understand and interpret new findings as they emerge. A single study usually uncovers only a piece of a larger puzzle.

Questions about how the world works are often investigated on many different levels. For example, scientists can look at the different atoms in a molecule, cells in a tissue, or how different tissues or systems affect each other. Researchers often must choose one or a finite number of ways to investigate a question. It can take many different studies using different approaches to start piecing the whole picture together.

Sometimes it might seem like research results contradict each other. But often, studies are just looking at different aspects of the same problem. Researchers can also investigate a question using different techniques or timeframes. That may lead them to arrive at different conclusions from the same data.

Using the data available at the time of their study, scientists develop different explanations, or models. New information may mean that a novel model needs to be developed to account for it. The models that prevail are those that can withstand the test of time and incorporate new information. Science is a constantly evolving and self-correcting process.

Scientists gain more confidence about a model through the scientific process. They replicate each other’s work. They present at conferences. And papers undergo peer review, in which experts in the field review the work before it can be published in scientific journals. This helps ensure that the study is up to current scientific standards and maintains a level of integrity. Peer reviewers may find problems with the experiments or think different experiments are needed to justify the conclusions. They might even offer new ways to interpret the data.

It’s important for science communicators to consider which stage a study is at in the scientific process when deciding whether to cover it. Some studies are posted on preprint servers for other scientists to start weighing in on and haven’t yet been fully vetted. Results that haven't yet been subjected to scientific scrutiny should be reported on with care and context to avoid confusion or frustration from readers.

We’ve developed a one-page guide, "How Research Works: Understanding the Process of Science" to help communicators put the process of science into perspective. We hope it can serve as a useful resource to help explain why science changes—and why it’s important to expect that change. Please take a look and share your thoughts with us by sending an email to  [email protected].

Below are some additional resources:

• Discoveries in Basic Science: A Perfectly Imperfect Process
• When Clinical Research Is in the News
• What is Basic Science and Why is it Important?
• ​ What is a Research Organism?
• What Are Clinical Trials and Studies?
• Basic Research – Digital Media Kit
• Decoding Science: How Does Science Know What It Knows? (NAS)
• Can Science Help People Make Decisions ? (NAS)

Connect with Us

• More Social Media from NIH

Get a one-Page Guide

How Does Research Work?

Have you ever wondered what it means to “follow the science?” Sometimes it may seem like what’s true one day changes the next. But when what we know changes, it often means science is working.

Research helps us understand the world through careful testing. Each advance builds on past discoveries. This process can take a long time. But the end result is a better understanding of the world around us.

In general, the scientific process follows many steps. First, scientists start with a question. They look at past research to see what others have learned. Different scientists have diverse skills and training. They each bring their own approaches and ideas. And they design new experiments to test their ideas.

Next, scientists perform their experiments and collect data. Then, they evaluate what their findings might mean. This often leads them to new questions and ideas to test.

The next step is to share their data and ideas with other scientists. Other experts can give new perspectives or point out problems.

It’s natural to want answers. But it’s important not to draw conclusions based on a single study. Scientists start to form conclusions only after looking at many studies over time. Sometimes, even these conclusions change with more evidence. Science is an evolving process. But it’s the best way we have to seek out answers.

NIH has created a one-page guide to explain more about how research works. Find the guide in English ( https://www.nih.gov/sites/default/files/about-nih/public-trust/20210902-understanding-research-print.pdf ) or Spanish ( https://www.nih.gov/sites/default/files/about-nih/public-trust/20210902-understanding-research-spanish-print.pdf ).

Research Basics

• What Is Research?
• Types of Research
• Secondary Research | Literature Review
• Developing Your Topic
• Primary vs. Secondary Sources
• Evaluating Sources
• Responsible Conduct of Research
• Additional Help

A good working definition of research might be:

Research is the deliberate, purposeful, and systematic gathering of data, information, facts, and/or opinions for the advancement of personal, societal, or overall human knowledge.

Based on this definition, we all do research all the time. Most of this research is casual research. Asking friends what they think of different restaurants, looking up reviews of various products online, learning more about celebrities; these are all research.

Formal research includes the type of research most people think of when they hear the term “research”: scientists in white coats working in a fully equipped laboratory. But formal research is a much broader category that just this. Most people will never do laboratory research after graduating from college, but almost everybody will have to do some sort of formal research at some point in their careers.

So What Do We Mean By “Formal Research?”

Casual research is inward facing: it’s done to satisfy our own curiosity or meet our own needs, whether that’s choosing a reliable car or figuring out what to watch on TV. Formal research is outward facing. While it may satisfy our own curiosity, it’s primarily intended to be shared in order to achieve some purpose. That purpose could be anything: finding a cure for cancer, securing funding for a new business, improving some process at your workplace, proving the latest theory in quantum physics, or even just getting a good grade in your Humanities 200 class.

What sets formal research apart from casual research is the documentation of where you gathered your information from. This is done in the form of “citations” and “bibliographies.” Citing sources is covered in the section "Citing Your Sources."

Formal research also follows certain common patterns depending on what the research is trying to show or prove. These are covered in the section “Types of Research.”

• Next: Types of Research >>
• Last Updated: Dec 21, 2023 3:49 PM
• URL: https://guides.library.iit.edu/research_basics

Being a Researcher pp 1–23 Cite as

What Is Research and Why We Do It

• Carlo Ghezzi 2  
• First Online: 23 June 2020

2959 Accesses

2 Altmetric

The notions of science and scientific research are discussed and the motivations for doing research are analyzed. Research can span a broad range of approaches, from purely theoretical to practice-oriented; different approaches often coexist and fertilize each other. Research ignites human progress and societal change. In turn, society drives and supports research. The specific role of research in Informatics is discussed. Informatics is driving the current transition towards the new digital society in which we will live in the future.

This is a preview of subscription content, log in via an institution .

Buying options

• Available as EPUB and PDF
• Read on any device
• Instant download
• Own it forever
• Compact, lightweight edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

In [ 34 ], P.E. Medawar discusses what he calls the “snobismus” of pure versus applied science. In his words, this is one of the most damaging forms of snobbism, which draws a class distinction between pure and applied science.

Originality, rigor, and significance have been defined and used as the key criteria to evaluate research outputs by the UK Research Excellence Framework (REF) [ 46 ]. A research evaluation exercise has been performed periodically since 1986 on UK higher education institutions and their research outputs have been rated according to their originality, rigor, and significance.

The importance of realizing that “we don’t know” was apparently first stated by Socrates, according to Plato’s account of his thought. This is condensed in the famous paradox “I know that I don’t know.”

This view applies mainly to natural and physical sciences.

Roy Amara was President of the Institute for Future, a USA-based think tank, from 1971 until 1990.

The Turing Award is generally recognized as the Nobel prize of Informatics.

See http://uis.unesco.org/apps/visualisations/research-and-development-spending/ .

Israel is a very good example. Investments in research resulted in a proliferation of new, cutting-edge enterprises. The term start-up nation has been coined by Dan Senor and Saul Singer in their successful book [ 51 ] to characterize this phenomenon.

https://ec.europa.eu/programmes/horizon2020/en/h2020-section/societal-challenges .

https://ec.europa.eu/programmes/horizon2020/en/h2020-section/cross-cutting-activities-focus-areas .

This figure has been adapted from a presentation by A. Fuggetta, which describes the mission of Cefriel, an Italian institution with a similar role of Fraunhofer, on a smaller scale.

The ERC takes an ecumenical approach and calls the research sector “Computer Science and Informatics.”

I discuss here the effect of “big data” on research, although most sectors of society—industry, finance, health, …—are also deeply affected.

Carayannis, E., Campbell, D.: Mode 3 knowledge production in quadruple helix innovation systems. In: E. Carayannis, D. Campbell (eds.) Mode 3 Knowledge Production in Quadruple Helix Innovation Systems: 21st-Century Democracy, Innovation, and Entrepreneurship for Development. SpringerBriefs in Business, New York, NY (2012)

Google Scholar  

Etzkowitz, H., Leydesdorff, L.: The triple helix – university-industry-government relations: A laboratory for knowledge based economic development. EASST Review 14 (1), 14–19 (1995)

Harari, Y.: Sapiens: A Brief History of Humankind. Random House (2014). URL https://books.google.it/books?id=1EiJAwAAQBAJ

Harari, Y.: Homo Deus: A Brief History of Tomorrow. Random House (2016). URL https://books.google.it/books?id=dWYyCwAAQBAJ

Hopcroft, J.E., Motwani, R., Ullman, J.D.: Introduction to Automata Theory, Languages, and Computation (3rd Edition). Addison-Wesley Longman Publishing Co., Inc., USA (2006)

MATH   Google Scholar  

Medawar, P.: Advice To A Young Scientist. Alfred P. Sloan Foundation series. Basic Books (2008)

OECD: Frascati Manual. OECD Publishing (2015). https://doi.org/10.1787/9789264239012-en . URL https://www.oecd-ilibrary.org/content/publication/9789264239012-en

REF2019/2: Panel criteria and working methods (2019). URL https://www.ref.ac.uk/media/1084/ref-2019_02-panel-criteria-and-working-methods.pdf

Senor, D., Singer, S.: Start-Up Nation: The Story of Israel’s Economic Miracle. McClelland & Stewart, Toronto, Canada (2011)

Stokes, D.E.: Pasteur’s Quadrant: Basic Science and Technological Innovation. Brookings Institution Press, Washington, D.C. (1997)

Thurston, R.H.: The growth of the steam engine. Popular Science Monthly 12 (1877)

Vardi, M.Y.: The long game of research. Commun. ACM 62 (9), 7–7 (2019). https://doi.org/10.1145/3352489 . URL http://doi.acm.org/10.1145/3352489

Download references

Author information

Authors and affiliations.

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy

Carlo Ghezzi

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Carlo Ghezzi .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Cite this chapter.

Ghezzi, C. (2020). What Is Research and Why We Do It. In: Being a Researcher. Springer, Cham. https://doi.org/10.1007/978-3-030-45157-8_1

Download citation

DOI : https://doi.org/10.1007/978-3-030-45157-8_1

Published : 23 June 2020

Publisher Name : Springer, Cham

Print ISBN : 978-3-030-45156-1

Online ISBN : 978-3-030-45157-8

eBook Packages : Computer Science Computer Science (R0)

Share this chapter

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

What Is Research Methodology? A Plain-Language Explanation & Definition (With Examples)

By Derek Jansen (MBA)  and Kerryn Warren (PhD) | June 2020 (Last updated April 2023)

If you’re new to formal academic research, it’s quite likely that you’re feeling a little overwhelmed by all the technical lingo that gets thrown around. And who could blame you – “research methodology”, “research methods”, “sampling strategies”… it all seems never-ending!

In this post, we’ll demystify the landscape with plain-language explanations and loads of examples (including easy-to-follow videos), so that you can approach your dissertation, thesis or research project with confidence. Let’s get started.

Research Methodology 101

• What exactly research methodology means
• What qualitative , quantitative and mixed methods are
• What sampling strategy is
• What data collection methods are
• What data analysis methods are
• How to choose your research methodology
• Example of a research methodology

What is research methodology?

Research methodology simply refers to the practical “how” of a research study. More specifically, it’s about how  a researcher  systematically designs a study  to ensure valid and reliable results that address the research aims, objectives and research questions . Specifically, how the researcher went about deciding:

• What type of data to collect (e.g., qualitative or quantitative data )
• Who  to collect it from (i.e., the sampling strategy )
• How to  collect  it (i.e., the data collection method )
• How to  analyse  it (i.e., the data analysis methods )

Within any formal piece of academic research (be it a dissertation, thesis or journal article), you’ll find a research methodology chapter or section which covers the aspects mentioned above. Importantly, a good methodology chapter explains not just   what methodological choices were made, but also explains  why they were made. In other words, the methodology chapter should justify  the design choices, by showing that the chosen methods and techniques are the best fit for the research aims, objectives and research questions. 

So, it’s the same as research design?

Not quite. As we mentioned, research methodology refers to the collection of practical decisions regarding what data you’ll collect, from who, how you’ll collect it and how you’ll analyse it. Research design, on the other hand, is more about the overall strategy you’ll adopt in your study. For example, whether you’ll use an experimental design in which you manipulate one variable while controlling others. You can learn more about research design and the various design types here .

Need a helping hand?

What are qualitative, quantitative and mixed-methods?

Qualitative, quantitative and mixed-methods are different types of methodological approaches, distinguished by their focus on words , numbers or both . This is a bit of an oversimplification, but its a good starting point for understanding.

Let’s take a closer look.

Qualitative research refers to research which focuses on collecting and analysing words (written or spoken) and textual or visual data, whereas quantitative research focuses on measurement and testing using numerical data . Qualitative analysis can also focus on other “softer” data points, such as body language or visual elements.

It’s quite common for a qualitative methodology to be used when the research aims and research questions are exploratory  in nature. For example, a qualitative methodology might be used to understand peoples’ perceptions about an event that took place, or a political candidate running for president. 

Contrasted to this, a quantitative methodology is typically used when the research aims and research questions are confirmatory  in nature. For example, a quantitative methodology might be used to measure the relationship between two variables (e.g. personality type and likelihood to commit a crime) or to test a set of hypotheses .

As you’ve probably guessed, the mixed-method methodology attempts to combine the best of both qualitative and quantitative methodologies to integrate perspectives and create a rich picture. If you’d like to learn more about these three methodological approaches, be sure to watch our explainer video below.

What is sampling strategy?

Simply put, sampling is about deciding who (or where) you’re going to collect your data from . Why does this matter? Well, generally it’s not possible to collect data from every single person in your group of interest (this is called the “population”), so you’ll need to engage a smaller portion of that group that’s accessible and manageable (this is called the “sample”).

How you go about selecting the sample (i.e., your sampling strategy) will have a major impact on your study.  There are many different sampling methods  you can choose from, but the two overarching categories are probability   sampling and  non-probability   sampling .

Probability sampling  involves using a completely random sample from the group of people you’re interested in. This is comparable to throwing the names all potential participants into a hat, shaking it up, and picking out the “winners”. By using a completely random sample, you’ll minimise the risk of selection bias and the results of your study will be more generalisable  to the entire population. 

Non-probability sampling , on the other hand,  doesn’t use a random sample . For example, it might involve using a convenience sample, which means you’d only interview or survey people that you have access to (perhaps your friends, family or work colleagues), rather than a truly random sample. With non-probability sampling, the results are typically not generalisable .

To learn more about sampling methods, be sure to check out the video below.

What are data collection methods?

As the name suggests, data collection methods simply refers to the way in which you go about collecting the data for your study. Some of the most common data collection methods include:

• Interviews (which can be unstructured, semi-structured or structured)
• Focus groups and group interviews
• Surveys (online or physical surveys)
• Observations (watching and recording activities)
• Biophysical measurements (e.g., blood pressure, heart rate, etc.)
• Documents and records (e.g., financial reports, court records, etc.)

The choice of which data collection method to use depends on your overall research aims and research questions , as well as practicalities and resource constraints. For example, if your research is exploratory in nature, qualitative methods such as interviews and focus groups would likely be a good fit. Conversely, if your research aims to measure specific variables or test hypotheses, large-scale surveys that produce large volumes of numerical data would likely be a better fit.

What are data analysis methods?

Data analysis methods refer to the methods and techniques that you’ll use to make sense of your data. These can be grouped according to whether the research is qualitative  (words-based) or quantitative (numbers-based).

Popular data analysis methods in qualitative research include:

• Qualitative content analysis
• Thematic analysis
• Discourse analysis
• Narrative analysis
• Interpretative phenomenological analysis (IPA)
• Visual analysis (of photographs, videos, art, etc.)

Qualitative data analysis all begins with data coding , after which an analysis method is applied. In some cases, more than one analysis method is used, depending on the research aims and research questions . In the video below, we explore some  common qualitative analysis methods, along with practical examples.  

Moving on to the quantitative side of things, popular data analysis methods in this type of research include:

• Descriptive statistics (e.g. means, medians, modes )
• Inferential statistics (e.g. correlation, regression, structural equation modelling)

Again, the choice of which data collection method to use depends on your overall research aims and objectives , as well as practicalities and resource constraints. In the video below, we explain some core concepts central to quantitative analysis.

How do I choose a research methodology?

As you’ve probably picked up by now, your research aims and objectives have a major influence on the research methodology . So, the starting point for developing your research methodology is to take a step back and look at the big picture of your research, before you make methodology decisions. The first question you need to ask yourself is whether your research is exploratory or confirmatory in nature.

If your research aims and objectives are primarily exploratory in nature, your research will likely be qualitative and therefore you might consider qualitative data collection methods (e.g. interviews) and analysis methods (e.g. qualitative content analysis). 

Conversely, if your research aims and objective are looking to measure or test something (i.e. they’re confirmatory), then your research will quite likely be quantitative in nature, and you might consider quantitative data collection methods (e.g. surveys) and analyses (e.g. statistical analysis).

Designing your research and working out your methodology is a large topic, which we cover extensively on the blog . For now, however, the key takeaway is that you should always start with your research aims, objectives and research questions (the golden thread). Every methodological choice you make needs align with those three components. 

Example of a research methodology chapter

In the video below, we provide a detailed walkthrough of a research methodology from an actual dissertation, as well as an overview of our free methodology template .

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project. 

You Might Also Like:

199 Comments

Thank you for this simple yet comprehensive and easy to digest presentation. God Bless!

You’re most welcome, Leo. Best of luck with your research!

I found it very useful. many thanks

This is really directional. A make-easy research knowledge.

Thank you for this, I think will help my research proposal

Thanks for good interpretation,well understood.

Good morning sorry I want to the search topic

Thank u more

Thank you, your explanation is simple and very helpful.

Very educative a.nd exciting platform. A bigger thank you and I’ll like to always be with you

That’s the best analysis

So simple yet so insightful. Thank you.

This really easy to read as it is self-explanatory. Very much appreciated…

Thanks for this. It’s so helpful and explicit. For those elements highlighted in orange, they were good sources of referrals for concepts I didn’t understand. A million thanks for this.

Good morning, I have been reading your research lessons through out a period of times. They are important, impressive and clear. Want to subscribe and be and be active with you.

Thankyou So much Sir Derek…

Good morning thanks so much for the on line lectures am a student of university of Makeni.select a research topic and deliberate on it so that we’ll continue to understand more.sorry that’s a suggestion.

Beautiful presentation. I love it.

please provide a research mehodology example for zoology

It’s very educative and well explained

Thanks for the concise and informative data.

This is really good for students to be safe and well understand that research is all about

Thank you so much Derek sir🖤🙏🤗

Very simple and reliable

This is really helpful. Thanks alot. God bless you.

very useful, Thank you very much..

thanks a lot its really useful

in a nutshell..thank you!

Thanks for updating my understanding on this aspect of my Thesis writing.

thank you so much my through this video am competently going to do a good job my thesis

Thanks a lot. Very simple to understand. I appreciate 🙏

Very simple but yet insightful Thank you

This has been an eye opening experience. Thank you grad coach team.

Very useful message for research scholars

Really very helpful thank you

yes you are right and i’m left

Research methodology with a simplest way i have never seen before this article.

wow thank u so much

Good morning thanks so much for the on line lectures am a student of university of Makeni.select a research topic and deliberate on is so that we will continue to understand more.sorry that’s a suggestion.

Very precise and informative.

Thanks for simplifying these terms for us, really appreciate it.

Thanks this has really helped me. It is very easy to understand.

I found the notes and the presentation assisting and opening my understanding on research methodology

Good presentation

Im so glad you clarified my misconceptions. Im now ready to fry my onions. Thank you so much. God bless

Thank you a lot.

thanks for the easy way of learning and desirable presentation.

Thanks a lot. I am inspired

Well written

I am writing a APA Format paper . I using questionnaire with 120 STDs teacher for my participant. Can you write me mthology for this research. Send it through email sent. Just need a sample as an example please. My topic is ” impacts of overcrowding on students learning

Thanks for your comment.

We can’t write your methodology for you. If you’re looking for samples, you should be able to find some sample methodologies on Google. Alternatively, you can download some previous dissertations from a dissertation directory and have a look at the methodology chapters therein.

All the best with your research.

Thank you so much for this!! God Bless

Thank you. Explicit explanation

Thank you, Derek and Kerryn, for making this simple to understand. I’m currently at the inception stage of my research.

Thnks a lot , this was very usefull on my assignment

excellent explanation

I’m currently working on my master’s thesis, thanks for this! I’m certain that I will use Qualitative methodology.

Thanks a lot for this concise piece, it was quite relieving and helpful. God bless you BIG…

I am currently doing my dissertation proposal and I am sure that I will do quantitative research. Thank you very much it was extremely helpful.

Very interesting and informative yet I would like to know about examples of Research Questions as well, if possible.

I’m about to submit a research presentation, I have come to understand from your simplification on understanding research methodology. My research will be mixed methodology, qualitative as well as quantitative. So aim and objective of mixed method would be both exploratory and confirmatory. Thanks you very much for your guidance.

OMG thanks for that, you’re a life saver. You covered all the points I needed. Thank you so much ❤️ ❤️ ❤️

Thank you immensely for this simple, easy to comprehend explanation of data collection methods. I have been stuck here for months 😩. Glad I found your piece. Super insightful.

I’m going to write synopsis which will be quantitative research method and I don’t know how to frame my topic, can I kindly get some ideas..

Thanks for this, I was really struggling.

This was really informative I was struggling but this helped me.

Thanks a lot for this information, simple and straightforward. I’m a last year student from the University of South Africa UNISA South Africa.

its very much informative and understandable. I have enlightened.

An interesting nice exploration of a topic.

Thank you. Accurate and simple🥰

This article was really helpful, it helped me understanding the basic concepts of the topic Research Methodology. The examples were very clear, and easy to understand. I would like to visit this website again. Thank you so much for such a great explanation of the subject.

Thanks dude

Thank you Doctor Derek for this wonderful piece, please help to provide your details for reference purpose. God bless.

Many compliments to you

Great work , thank you very much for the simple explanation

Thank you. I had to give a presentation on this topic. I have looked everywhere on the internet but this is the best and simple explanation.

thank you, its very informative.

Well explained. Now I know my research methodology will be qualitative and exploratory. Thank you so much, keep up the good work

Well explained, thank you very much.

This is good explanation, I have understood the different methods of research. Thanks a lot.

Great work…very well explanation

Thanks Derek. Kerryn was just fantastic!

Great to hear that, Hyacinth. Best of luck with your research!

Its a good templates very attractive and important to PhD students and lectuter

Thanks for the feedback, Matobela. Good luck with your research methodology.

Thank you. This is really helpful.

You’re very welcome, Elie. Good luck with your research methodology.

Well explained thanks

This is a very helpful site especially for young researchers at college. It provides sufficient information to guide students and equip them with the necessary foundation to ask any other questions aimed at deepening their understanding.

Thanks for the kind words, Edward. Good luck with your research!

Thank you. I have learned a lot.

Great to hear that, Ngwisa. Good luck with your research methodology!

Thank you for keeping your presentation simples and short and covering key information for research methodology. My key takeaway: Start with defining your research objective the other will depend on the aims of your research question.

My name is Zanele I would like to be assisted with my research , and the topic is shortage of nursing staff globally want are the causes , effects on health, patients and community and also globally

Thanks for making it simple and clear. It greatly helped in understanding research methodology. Regards.

This is well simplified and straight to the point

Thank you Dr

I was given an assignment to research 2 publications and describe their research methodology? I don’t know how to start this task can someone help me?

Sure. You’re welcome to book an initial consultation with one of our Research Coaches to discuss how we can assist – https://gradcoach.com/book/new/ .

Thanks a lot I am relieved of a heavy burden.keep up with the good work

I’m very much grateful Dr Derek. I’m planning to pursue one of the careers that really needs one to be very much eager to know. There’s a lot of research to do and everything, but since I’ve gotten this information I will use it to the best of my potential.

Thank you so much, words are not enough to explain how helpful this session has been for me!

Thanks this has thought me alot.

Very concise and helpful. Thanks a lot

Thank Derek. This is very helpful. Your step by step explanation has made it easier for me to understand different concepts. Now i can get on with my research.

I wish i had come across this sooner. So simple but yet insightful

really nice explanation thank you so much

I’m so grateful finding this site, it’s really helpful…….every term well explained and provide accurate understanding especially to student going into an in-depth research for the very first time, even though my lecturer already explained this topic to the class, I think I got the clear and efficient explanation here, much thanks to the author.

It is very helpful material

I would like to be assisted with my research topic : Literature Review and research methodologies. My topic is : what is the relationship between unemployment and economic growth?

Its really nice and good for us.

THANKS SO MUCH FOR EXPLANATION, ITS VERY CLEAR TO ME WHAT I WILL BE DOING FROM NOW .GREAT READS.

Short but sweet.Thank you

Informative article. Thanks for your detailed information.

I’m currently working on my Ph.D. thesis. Thanks a lot, Derek and Kerryn, Well-organized sequences, facilitate the readers’ following.

great article for someone who does not have any background can even understand

I am a bit confused about research design and methodology. Are they the same? If not, what are the differences and how are they related?

Thanks in advance.

concise and informative.

Thank you very much

How can we site this article is Harvard style?

Very well written piece that afforded better understanding of the concept. Thank you!

Am a new researcher trying to learn how best to write a research proposal. I find your article spot on and want to download the free template but finding difficulties. Can u kindly send it to my email, the free download entitled, “Free Download: Research Proposal Template (with Examples)”.

Thank too much

Thank you very much for your comprehensive explanation about research methodology so I like to thank you again for giving us such great things.

Good very well explained.Thanks for sharing it.

Thank u sir, it is really a good guideline.

so helpful thank you very much.

Thanks for the video it was very explanatory and detailed, easy to comprehend and follow up. please, keep it up the good work

It was very helpful, a well-written document with precise information.

how do i reference this?

MLA Jansen, Derek, and Kerryn Warren. “What (Exactly) Is Research Methodology?” Grad Coach, June 2021, gradcoach.com/what-is-research-methodology/.

APA Jansen, D., & Warren, K. (2021, June). What (Exactly) Is Research Methodology? Grad Coach. https://gradcoach.com/what-is-research-methodology/

Your explanation is easily understood. Thank you

Very help article. Now I can go my methodology chapter in my thesis with ease

I feel guided ,Thank you

This simplification is very helpful. It is simple but very educative, thanks ever so much

The write up is informative and educative. It is an academic intellectual representation that every good researcher can find useful. Thanks

Wow, this is wonderful long live.

Nice initiative

thank you the video was helpful to me.

Thank you very much for your simple and clear explanations I’m really satisfied by the way you did it By now, I think I can realize a very good article by following your fastidious indications May God bless you

Thanks very much, it was very concise and informational for a beginner like me to gain an insight into what i am about to undertake. I really appreciate.

very informative sir, it is amazing to understand the meaning of question hidden behind that, and simple language is used other than legislature to understand easily. stay happy.

This one is really amazing. All content in your youtube channel is a very helpful guide for doing research. Thanks, GradCoach.

research methodologies

Please send me more information concerning dissertation research.

Nice piece of knowledge shared….. #Thump_UP

This is amazing, it has said it all. Thanks to Gradcoach

This is wonderful,very elaborate and clear.I hope to reach out for your assistance in my research very soon.

This is the answer I am searching about…

realy thanks a lot

Thank you very much for this awesome, to the point and inclusive article.

Thank you very much I need validity and reliability explanation I have exams

Thank you for a well explained piece. This will help me going forward.

Very simple and well detailed Many thanks

This is so very simple yet so very effective and comprehensive. An Excellent piece of work.

I wish I saw this earlier on! Great insights for a beginner(researcher) like me. Thanks a mil!

Thank you very much, for such a simplified, clear and practical step by step both for academic students and general research work. Holistic, effective to use and easy to read step by step. One can easily apply the steps in practical terms and produce a quality document/up-to standard

Thanks for simplifying these terms for us, really appreciated.

Thanks for a great work. well understood .

This was very helpful. It was simple but profound and very easy to understand. Thank you so much!

Great and amazing research guidelines. Best site for learning research

hello sir/ma’am, i didn’t find yet that what type of research methodology i am using. because i am writing my report on CSR and collect all my data from websites and articles so which type of methodology i should write in dissertation report. please help me. i am from India.

how does this really work?

perfect content, thanks a lot

As a researcher, I commend you for the detailed and simplified information on the topic in question. I would like to remain in touch for the sharing of research ideas on other topics. Thank you

Impressive. Thank you, Grad Coach 😍

Thank you Grad Coach for this piece of information. I have at least learned about the different types of research methodologies.

Very useful content with easy way

Thank you very much for the presentation. I am an MPH student with the Adventist University of Africa. I have successfully completed my theory and starting on my research this July. My topic is “Factors associated with Dental Caries in (one District) in Botswana. I need help on how to go about this quantitative research

I am so grateful to run across something that was sooo helpful. I have been on my doctorate journey for quite some time. Your breakdown on methodology helped me to refresh my intent. Thank you.

thanks so much for this good lecture. student from university of science and technology, Wudil. Kano Nigeria.

It’s profound easy to understand I appreciate

Thanks a lot for sharing superb information in a detailed but concise manner. It was really helpful and helped a lot in getting into my own research methodology.

Comment * thanks very much

This was sooo helpful for me thank you so much i didn’t even know what i had to write thank you!

You’re most welcome 🙂

Simple and good. Very much helpful. Thank you so much.

This is very good work. I have benefited.

Thank you so much for sharing

This is powerful thank you so much guys

I am nkasa lizwi doing my research proposal on honors with the university of Walter Sisulu Komani I m on part 3 now can you assist me.my topic is: transitional challenges faced by educators in intermediate phase in the Alfred Nzo District.

Appreciate the presentation. Very useful step-by-step guidelines to follow.

I appreciate sir

wow! This is super insightful for me. Thank you!

Indeed this material is very helpful! Kudos writers/authors.

I want to say thank you very much, I got a lot of info and knowledge. Be blessed.

I want present a seminar paper on Optimisation of Deep learning-based models on vulnerability detection in digital transactions.

Need assistance

Dear Sir, I want to be assisted on my research on Sanitation and Water management in emergencies areas.

I am deeply grateful for the knowledge gained. I will be getting in touch shortly as I want to be assisted in my ongoing research.

The information shared is informative, crisp and clear. Kudos Team! And thanks a lot!

hello i want to study

Hello!! Grad coach teams. I am extremely happy in your tutorial or consultation. i am really benefited all material and briefing. Thank you very much for your generous helps. Please keep it up. If you add in your briefing, references for further reading, it will be very nice.

All I have to say is, thank u gyz.

Good, l thanks

thank you, it is very useful

Trackbacks/Pingbacks

• What Is A Literature Review (In A Dissertation Or Thesis) - Grad Coach - […] the literature review is to inform the choice of methodology for your own research. As we’ve discussed on the Grad Coach blog,…
• Free Download: Research Proposal Template (With Examples) - Grad Coach - […] Research design (methodology) […]
• Dissertation vs Thesis: What's the difference? - Grad Coach - […] and thesis writing on a daily basis – everything from how to find a good research topic to which…

Submit a Comment Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Print Friendly

An official website of the United States government

The .gov means it's official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

• Publications
• Account settings
• Browse Titles

NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health.

StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-.

StatPearls [Internet].

Qualitative study.

Steven Tenny ; Janelle M. Brannan ; Grace D. Brannan .

Affiliations

Last Update: September 18, 2022 .

• Introduction

Qualitative research is a type of research that explores and provides deeper insights into real-world problems. [1] Instead of collecting numerical data points or intervene or introduce treatments just like in quantitative research, qualitative research helps generate hypotheses as well as further investigate and understand quantitative data. Qualitative research gathers participants' experiences, perceptions, and behavior. It answers the hows and whys instead of how many or how much. It could be structured as a stand-alone study, purely relying on qualitative data or it could be part of mixed-methods research that combines qualitative and quantitative data. This review introduces the readers to some basic concepts, definitions, terminology, and application of qualitative research.

Qualitative research at its core, ask open-ended questions whose answers are not easily put into numbers such as ‘how’ and ‘why’. [2] Due to the open-ended nature of the research questions at hand, qualitative research design is often not linear in the same way quantitative design is. [2] One of the strengths of qualitative research is its ability to explain processes and patterns of human behavior that can be difficult to quantify. [3] Phenomena such as experiences, attitudes, and behaviors can be difficult to accurately capture quantitatively, whereas a qualitative approach allows participants themselves to explain how, why, or what they were thinking, feeling, and experiencing at a certain time or during an event of interest. Quantifying qualitative data certainly is possible, but at its core, qualitative data is looking for themes and patterns that can be difficult to quantify and it is important to ensure that the context and narrative of qualitative work are not lost by trying to quantify something that is not meant to be quantified.

However, while qualitative research is sometimes placed in opposition to quantitative research, where they are necessarily opposites and therefore ‘compete’ against each other and the philosophical paradigms associated with each, qualitative and quantitative work are not necessarily opposites nor are they incompatible. [4] While qualitative and quantitative approaches are different, they are not necessarily opposites, and they are certainly not mutually exclusive. For instance, qualitative research can help expand and deepen understanding of data or results obtained from quantitative analysis. For example, say a quantitative analysis has determined that there is a correlation between length of stay and level of patient satisfaction, but why does this correlation exist? This dual-focus scenario shows one way in which qualitative and quantitative research could be integrated together.

Examples of Qualitative Research Approaches

Ethnography

Ethnography as a research design has its origins in social and cultural anthropology, and involves the researcher being directly immersed in the participant’s environment. [2] Through this immersion, the ethnographer can use a variety of data collection techniques with the aim of being able to produce a comprehensive account of the social phenomena that occurred during the research period. [2] That is to say, the researcher’s aim with ethnography is to immerse themselves into the research population and come out of it with accounts of actions, behaviors, events, etc. through the eyes of someone involved in the population. Direct involvement of the researcher with the target population is one benefit of ethnographic research because it can then be possible to find data that is otherwise very difficult to extract and record.

Grounded Theory

Grounded Theory is the “generation of a theoretical model through the experience of observing a study population and developing a comparative analysis of their speech and behavior.” [5] As opposed to quantitative research which is deductive and tests or verifies an existing theory, grounded theory research is inductive and therefore lends itself to research that is aiming to study social interactions or experiences. [3] [2] In essence, Grounded Theory’s goal is to explain for example how and why an event occurs or how and why people might behave a certain way. Through observing the population, a researcher using the Grounded Theory approach can then develop a theory to explain the phenomena of interest.

Phenomenology

Phenomenology is defined as the “study of the meaning of phenomena or the study of the particular”. [5] At first glance, it might seem that Grounded Theory and Phenomenology are quite similar, but upon careful examination, the differences can be seen. At its core, phenomenology looks to investigate experiences from the perspective of the individual. [2] Phenomenology is essentially looking into the ‘lived experiences’ of the participants and aims to examine how and why participants behaved a certain way, from their perspective . Herein lies one of the main differences between Grounded Theory and Phenomenology. Grounded Theory aims to develop a theory for social phenomena through an examination of various data sources whereas Phenomenology focuses on describing and explaining an event or phenomena from the perspective of those who have experienced it.

Narrative Research

One of qualitative research’s strengths lies in its ability to tell a story, often from the perspective of those directly involved in it. Reporting on qualitative research involves including details and descriptions of the setting involved and quotes from participants. This detail is called ‘thick’ or ‘rich’ description and is a strength of qualitative research. Narrative research is rife with the possibilities of ‘thick’ description as this approach weaves together a sequence of events, usually from just one or two individuals, in the hopes of creating a cohesive story, or narrative. [2] While it might seem like a waste of time to focus on such a specific, individual level, understanding one or two people’s narratives for an event or phenomenon can help to inform researchers about the influences that helped shape that narrative. The tension or conflict of differing narratives can be “opportunities for innovation”. [2]

Research Paradigm

Research paradigms are the assumptions, norms, and standards that underpin different approaches to research. Essentially, research paradigms are the ‘worldview’ that inform research. [4] It is valuable for researchers, both qualitative and quantitative, to understand what paradigm they are working within because understanding the theoretical basis of research paradigms allows researchers to understand the strengths and weaknesses of the approach being used and adjust accordingly. Different paradigms have different ontology and epistemologies . Ontology is defined as the "assumptions about the nature of reality” whereas epistemology is defined as the “assumptions about the nature of knowledge” that inform the work researchers do. [2] It is important to understand the ontological and epistemological foundations of the research paradigm researchers are working within to allow for a full understanding of the approach being used and the assumptions that underpin the approach as a whole. Further, it is crucial that researchers understand their own ontological and epistemological assumptions about the world in general because their assumptions about the world will necessarily impact how they interact with research. A discussion of the research paradigm is not complete without describing positivist, postpositivist, and constructivist philosophies.

Positivist vs Postpositivist

To further understand qualitative research, we need to discuss positivist and postpositivist frameworks. Positivism is a philosophy that the scientific method can and should be applied to social as well as natural sciences. [4] Essentially, positivist thinking insists that the social sciences should use natural science methods in its research which stems from positivist ontology that there is an objective reality that exists that is fully independent of our perception of the world as individuals. Quantitative research is rooted in positivist philosophy, which can be seen in the value it places on concepts such as causality, generalizability, and replicability.

Conversely, postpositivists argue that social reality can never be one hundred percent explained but it could be approximated. [4] Indeed, qualitative researchers have been insisting that there are “fundamental limits to the extent to which the methods and procedures of the natural sciences could be applied to the social world” and therefore postpositivist philosophy is often associated with qualitative research. [4] An example of positivist versus postpositivist values in research might be that positivist philosophies value hypothesis-testing, whereas postpositivist philosophies value the ability to formulate a substantive theory.

Constructivist

Constructivism is a subcategory of postpositivism. Most researchers invested in postpositivist research are constructivist as well, meaning they think there is no objective external reality that exists but rather that reality is constructed. Constructivism is a theoretical lens that emphasizes the dynamic nature of our world. “Constructivism contends that individuals’ views are directly influenced by their experiences, and it is these individual experiences and views that shape their perspective of reality”. [6] Essentially, Constructivist thought focuses on how ‘reality’ is not a fixed certainty and experiences, interactions, and backgrounds give people a unique view of the world. Constructivism contends, unlike in positivist views, that there is not necessarily an ‘objective’ reality we all experience. This is the ‘relativist’ ontological view that reality and the world we live in are dynamic and socially constructed. Therefore, qualitative scientific knowledge can be inductive as well as deductive.” [4]

So why is it important to understand the differences in assumptions that different philosophies and approaches to research have? Fundamentally, the assumptions underpinning the research tools a researcher selects provide an overall base for the assumptions the rest of the research will have and can even change the role of the researcher themselves. [2] For example, is the researcher an ‘objective’ observer such as in positivist quantitative work? Or is the researcher an active participant in the research itself, as in postpositivist qualitative work? Understanding the philosophical base of the research undertaken allows researchers to fully understand the implications of their work and their role within the research, as well as reflect on their own positionality and bias as it pertains to the research they are conducting.

Data Sampling 

The better the sample represents the intended study population, the more likely the researcher is to encompass the varying factors at play. The following are examples of participant sampling and selection: [7]

• Purposive sampling- selection based on the researcher’s rationale in terms of being the most informative.
• Criterion sampling-selection based on pre-identified factors.
• Convenience sampling- selection based on availability.
• Snowball sampling- the selection is by referral from other participants or people who know potential participants.
• Extreme case sampling- targeted selection of rare cases.
• Typical case sampling-selection based on regular or average participants. 

Data Collection and Analysis

Qualitative research uses several techniques including interviews, focus groups, and observation. [1] [2] [3] Interviews may be unstructured, with open-ended questions on a topic and the interviewer adapts to the responses. Structured interviews have a predetermined number of questions that every participant is asked. It is usually one on one and is appropriate for sensitive topics or topics needing an in-depth exploration. Focus groups are often held with 8-12 target participants and are used when group dynamics and collective views on a topic are desired. Researchers can be a participant-observer to share the experiences of the subject or a non-participant or detached observer.

While quantitative research design prescribes a controlled environment for data collection, qualitative data collection may be in a central location or in the environment of the participants, depending on the study goals and design. Qualitative research could amount to a large amount of data. Data is transcribed which may then be coded manually or with the use of Computer Assisted Qualitative Data Analysis Software or CAQDAS such as ATLAS.ti or NVivo. [8] [9] [10]

After the coding process, qualitative research results could be in various formats. It could be a synthesis and interpretation presented with excerpts from the data. [11] Results also could be in the form of themes and theory or model development.

Dissemination

To standardize and facilitate the dissemination of qualitative research outcomes, the healthcare team can use two reporting standards. The Consolidated Criteria for Reporting Qualitative Research or COREQ is a 32-item checklist for interviews and focus groups. [12] The Standards for Reporting Qualitative Research (SRQR) is a checklist covering a wider range of qualitative research. [13]

Examples of Application

Many times a research question will start with qualitative research. The qualitative research will help generate the research hypothesis which can be tested with quantitative methods. After the data is collected and analyzed with quantitative methods, a set of qualitative methods can be used to dive deeper into the data for a better understanding of what the numbers truly mean and their implications. The qualitative methods can then help clarify the quantitative data and also help refine the hypothesis for future research. Furthermore, with qualitative research researchers can explore subjects that are poorly studied with quantitative methods. These include opinions, individual's actions, and social science research.

A good qualitative study design starts with a goal or objective. This should be clearly defined or stated. The target population needs to be specified. A method for obtaining information from the study population must be carefully detailed to ensure there are no omissions of part of the target population. A proper collection method should be selected which will help obtain the desired information without overly limiting the collected data because many times, the information sought is not well compartmentalized or obtained. Finally, the design should ensure adequate methods for analyzing the data. An example may help better clarify some of the various aspects of qualitative research.

A researcher wants to decrease the number of teenagers who smoke in their community. The researcher could begin by asking current teen smokers why they started smoking through structured or unstructured interviews (qualitative research). The researcher can also get together a group of current teenage smokers and conduct a focus group to help brainstorm factors that may have prevented them from starting to smoke (qualitative research).

In this example, the researcher has used qualitative research methods (interviews and focus groups) to generate a list of ideas of both why teens start to smoke as well as factors that may have prevented them from starting to smoke. Next, the researcher compiles this data. The research found that, hypothetically, peer pressure, health issues, cost, being considered “cool,” and rebellious behavior all might increase or decrease the likelihood of teens starting to smoke.

The researcher creates a survey asking teen participants to rank how important each of the above factors is in either starting smoking (for current smokers) or not smoking (for current non-smokers). This survey provides specific numbers (ranked importance of each factor) and is thus a quantitative research tool.

The researcher can use the results of the survey to focus efforts on the one or two highest-ranked factors. Let us say the researcher found that health was the major factor that keeps teens from starting to smoke, and peer pressure was the major factor that contributed to teens to start smoking. The researcher can go back to qualitative research methods to dive deeper into each of these for more information. The researcher wants to focus on how to keep teens from starting to smoke, so they focus on the peer pressure aspect.

The researcher can conduct interviews and/or focus groups (qualitative research) about what types and forms of peer pressure are commonly encountered, where the peer pressure comes from, and where smoking first starts. The researcher hypothetically finds that peer pressure often occurs after school at the local teen hangouts, mostly the local park. The researcher also hypothetically finds that peer pressure comes from older, current smokers who provide the cigarettes.

The researcher could further explore this observation made at the local teen hangouts (qualitative research) and take notes regarding who is smoking, who is not, and what observable factors are at play for peer pressure of smoking. The researcher finds a local park where many local teenagers hang out and see that a shady, overgrown area of the park is where the smokers tend to hang out. The researcher notes the smoking teenagers buy their cigarettes from a local convenience store adjacent to the park where the clerk does not check identification before selling cigarettes. These observations fall under qualitative research.

If the researcher returns to the park and counts how many individuals smoke in each region of the park, this numerical data would be quantitative research. Based on the researcher's efforts thus far, they conclude that local teen smoking and teenagers who start to smoke may decrease if there are fewer overgrown areas of the park and the local convenience store does not sell cigarettes to underage individuals.

The researcher could try to have the parks department reassess the shady areas to make them less conducive to the smokers or identify how to limit the sales of cigarettes to underage individuals by the convenience store. The researcher would then cycle back to qualitative methods of asking at-risk population their perceptions of the changes, what factors are still at play, as well as quantitative research that includes teen smoking rates in the community, the incidence of new teen smokers, among others. [14] [15]

Qualitative research functions as a standalone research design or in combination with quantitative research to enhance our understanding of the world. Qualitative research uses techniques including structured and unstructured interviews, focus groups, and participant observation to not only help generate hypotheses which can be more rigorously tested with quantitative research but also to help researchers delve deeper into the quantitative research numbers, understand what they mean, and understand what the implications are.  Qualitative research provides researchers with a way to understand what is going on, especially when things are not easily categorized. [16]

• Issues of Concern

As discussed in the sections above, quantitative and qualitative work differ in many different ways, including the criteria for evaluating them. There are four well-established criteria for evaluating quantitative data: internal validity, external validity, reliability, and objectivity. The correlating concepts in qualitative research are credibility, transferability, dependability, and confirmability. [4] [11] The corresponding quantitative and qualitative concepts can be seen below, with the quantitative concept is on the left, and the qualitative concept is on the right:

• Internal validity--- Credibility
• External validity---Transferability
• Reliability---Dependability
• Objectivity---Confirmability

In conducting qualitative research, ensuring these concepts are satisfied and well thought out can mitigate potential issues from arising. For example, just as a researcher will ensure that their quantitative study is internally valid so should qualitative researchers ensure that their work has credibility.  

Indicators such as triangulation and peer examination can help evaluate the credibility of qualitative work.

• Triangulation: Triangulation involves using multiple methods of data collection to increase the likelihood of getting a reliable and accurate result. In our above magic example, the result would be more reliable by also interviewing the magician, back-stage hand, and the person who "vanished." In qualitative research, triangulation can include using telephone surveys, in-person surveys, focus groups, and interviews as well as surveying an adequate cross-section of the target demographic.
• Peer examination: Results can be reviewed by a peer to ensure the data is consistent with the findings.

‘Thick’ or ‘rich’ description can be used to evaluate the transferability of qualitative research whereas using an indicator such as an audit trail might help with evaluating the dependability and confirmability.

• Thick or rich description is a detailed and thorough description of details, the setting, and quotes from participants in the research. [5] Thick descriptions will include a detailed explanation of how the study was carried out. Thick descriptions are detailed enough to allow readers to draw conclusions and interpret the data themselves, which can help with transferability and replicability.
• Audit trail: An audit trail provides a documented set of steps of how the participants were selected and the data was collected. The original records of information should also be kept (e.g., surveys, notes, recordings).

One issue of concern that qualitative researchers should take into consideration is observation bias. Here are a few examples:

• Hawthorne effect: The Hawthorne effect is the change in participant behavior when they know they are being observed. If a researcher was wanting to identify factors that contribute to employee theft and tells the employees they are going to watch them to see what factors affect employee theft, one would suspect employee behavior would change when they know they are being watched.
• Observer-expectancy effect: Some participants change their behavior or responses to satisfy the researcher's desired effect. This happens in an unconscious manner for the participant so it is important to eliminate or limit transmitting the researcher's views.
• Artificial scenario effect: Some qualitative research occurs in artificial scenarios and/or with preset goals. In such situations, the information may not be accurate because of the artificial nature of the scenario. The preset goals may limit the qualitative information obtained.
• Clinical Significance

Qualitative research by itself or combined with quantitative research helps healthcare providers understand patients and the impact and challenges of the care they deliver. Qualitative research provides an opportunity to generate and refine hypotheses and delve deeper into the data generated by quantitative research. Qualitative research does not exist as an island apart from quantitative research, but as an integral part of research methods to be used for the understanding of the world around us. [17]

• Enhancing Healthcare Team Outcomes

Qualitative research is important for all members of the health care team as all are affected by qualitative research. Qualitative research may help develop a theory or a model for health research that can be further explored by quantitative research.  Much of the qualitative research data acquisition is completed by numerous team members including social works, scientists, nurses, etc.  Within each area of the medical field, there is copious ongoing qualitative research including physician-patient interactions, nursing-patient interactions, patient-environment interactions, health care team function, patient information delivery, etc. 

• Review Questions
• Access free multiple choice questions on this topic.
• Comment on this article.

Disclosure: Steven Tenny declares no relevant financial relationships with ineligible companies.

Disclosure: Janelle Brannan declares no relevant financial relationships with ineligible companies.

Disclosure: Grace Brannan declares no relevant financial relationships with ineligible companies.

This book is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ), which permits others to distribute the work, provided that the article is not altered or used commercially. You are not required to obtain permission to distribute this article, provided that you credit the author and journal.

• Cite this Page Tenny S, Brannan JM, Brannan GD. Qualitative Study. [Updated 2022 Sep 18]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-.

In this Page

Bulk download.

• Bulk download StatPearls data from FTP

Related information

• PMC PubMed Central citations
• PubMed Links to PubMed

Similar articles in PubMed

• Suicidal Ideation. [StatPearls. 2024] Suicidal Ideation. Harmer B, Lee S, Duong TVH, Saadabadi A. StatPearls. 2024 Jan
• Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas. [Cochrane Database Syst Rev. 2022] Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas. Crider K, Williams J, Qi YP, Gutman J, Yeung L, Mai C, Finkelstain J, Mehta S, Pons-Duran C, Menéndez C, et al. Cochrane Database Syst Rev. 2022 Feb 1; 2(2022). Epub 2022 Feb 1.
• Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012). [Phys Biol. 2013] Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012). Foffi G, Pastore A, Piazza F, Temussi PA. Phys Biol. 2013 Aug; 10(4):040301. Epub 2013 Aug 2.
• Review Evidence Brief: The Effectiveness Of Mandatory Computer-Based Trainings On Government Ethics, Workplace Harassment, Or Privacy And Information Security-Related Topics [ 2014] Review Evidence Brief: The Effectiveness Of Mandatory Computer-Based Trainings On Government Ethics, Workplace Harassment, Or Privacy And Information Security-Related Topics Peterson K, McCleery E. 2014 May
• Review Public sector reforms and their impact on the level of corruption: A systematic review. [Campbell Syst Rev. 2021] Review Public sector reforms and their impact on the level of corruption: A systematic review. Mugellini G, Della Bella S, Colagrossi M, Isenring GL, Killias M. Campbell Syst Rev. 2021 Jun; 17(2):e1173. Epub 2021 May 24.

Recent Activity

• Qualitative Study - StatPearls Qualitative Study - StatPearls

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

Connect with NLM

National Library of Medicine 8600 Rockville Pike Bethesda, MD 20894

Web Policies FOIA HHS Vulnerability Disclosure

Help Accessibility Careers

What does a researcher do?

Would you make a good researcher? Take our career test and find your match with over 800 careers.

What is a Researcher?

A researcher is trained to conduct systematic and scientific investigations in a particular field of study. Researchers use a variety of techniques to collect and analyze data to answer research questions or test hypotheses. They are responsible for designing studies, collecting data, analyzing data, and interpreting the results. Researchers may work in a wide range of fields, including science, medicine, engineering, social sciences, humanities, and many others.

To become a researcher, individuals usually need to obtain a graduate degree in their chosen field of study. They may also need to gain experience working as an assistant or intern in a research setting before becoming a full-fledged researcher. Researchers may work in academic or industrial settings, or they may work independently as consultants or freelance researchers. Regardless of the setting, researchers play a vital role in advancing knowledge and finding solutions to real-world problems.

What does a Researcher do?

Researchers are essential to the advancement of knowledge in various fields, including science, technology, medicine, social sciences, and humanities. Their work involves conducting systematic investigations to gather data, analyze it, and draw meaningful conclusions. Through their research, they can identify new problems and challenges, develop innovative solutions, and test hypotheses to validate theories.

Researchers also play a critical role in improving existing practices and policies, identifying gaps in knowledge, and creating new avenues for future research. They provide valuable insights and information that can inform decision-making, shape public opinion, and drive progress in society.

Duties and Responsibilities The duties and responsibilities of researchers can vary depending on the field of study and the type of research being conducted. However, here are some common duties and responsibilities that researchers are typically expected to fulfill:

• Develop research proposals: Developing a research proposal typically involves identifying a research question or problem, reviewing the relevant literature, selecting appropriate research methods and techniques, and outlining the expected outcomes of the research. Researchers must also ensure that their proposal aligns with the funding agency's objectives and guidelines.
• Conduct literature reviews: Literature reviews involve searching for and reviewing existing research papers, articles, books, and other relevant publications to identify gaps in knowledge and to build upon previous research. Researchers must ensure that they are using credible and reliable sources of information and that their review is comprehensive.
• Collect and analyze data: Collecting and analyzing data is a key aspect of research. This may involve designing and conducting experiments, surveys, interviews, or observations. Researchers must ensure that their data collection methods are valid and reliable, and that their analysis is appropriate and accurate.
• Ensure ethical considerations: Research ethics involve ensuring that the research is conducted in a manner that protects the rights, welfare, and dignity of all participants, as well as the environment. Researchers must obtain informed consent from human participants, ensure that animal research is conducted ethically and humanely, and comply with relevant regulations and guidelines.
• Communicate research findings: Researchers must communicate their research findings clearly and effectively to a range of audiences, including academic peers, policymakers, and the general public. This may involve writing research papers, presenting at conferences, and producing reports or other materials.
• Manage research projects: Managing a research project involves planning, organizing, and coordinating resources, timelines, and budgets to ensure that the project is completed on time and within budget. Researchers must ensure that they have the necessary resources, such as funding, personnel, and equipment, and that they are managing these resources effectively.
• Collaborate with others: Collaboration is an important aspect of research, and researchers often work with other researchers, academic institutions, funding agencies, and industry partners to achieve research objectives. Collaboration can help to facilitate the sharing of resources, expertise, and knowledge.
• Stay up-to-date with developments in their field: Research is an evolving field, and researchers must stay up-to-date with the latest developments and trends in their field to ensure that their research remains relevant and impactful. This may involve attending conferences, workshops, and seminars, reading academic journals and other publications, and participating in professional development opportunities.

Types of Researchers There are many types of researchers, depending on their areas of expertise, research methods, and the types of questions they seek to answer. Here are some examples:

• Basic Researchers: These researchers focus on understanding fundamental concepts and phenomena in a particular field. Their work may not have immediate practical applications, but it lays the groundwork for applied research.
• Applied Researchers: These researchers seek to apply basic research findings to real-world problems and situations. They may work in fields such as engineering, medicine, or psychology.
• Clinical Researchers: These researchers conduct studies with human subjects to better understand disease, illness, and treatment options. They may work in hospitals, universities, or research institutes.
• Epidemiologists : These researchers study the spread and distribution of disease in populations, and work to develop strategies for disease prevention and control.
• Social Scientists: These researchers study human behavior and society, using methods such as surveys, experiments, and observations. They may work in fields such as psychology, sociology, or anthropology.
• Natural Scientists: These researchers study the natural world, including the physical, chemical, and biological processes that govern it. They may work in fields such as physics, chemistry, or biology.
• Data Scientists : These researchers use statistical and computational methods to analyze large datasets and derive insights from them. They may work in fields such as machine learning, artificial intelligence, or business analytics.
• Policy Researchers: These researchers study policy issues, such as healthcare, education, or environmental regulations, and work to develop evidence-based policy recommendations. They may work in government agencies, think tanks, or non-profit organizations.

What is the workplace of a Researcher like?

The workplace of a researcher can vary greatly depending on the field and area of study. Researchers can work in a variety of settings, including academic institutions, government agencies, non-profit organizations, and private companies.

In academic settings, researchers often work in universities or research institutions, conducting experiments and analyzing data to develop new theories and insights into various fields of study. They may also teach courses and mentor students in their area of expertise.

In government agencies, researchers may work on projects related to public policy, health, and safety. They may be responsible for conducting research to support the development of new regulations or programs, analyzing data to assess the effectiveness of existing policies, or providing expertise on specific issues.

Non-profit organizations often employ researchers to study social and environmental issues, such as poverty, climate change, and human rights. These researchers may conduct surveys and collect data to understand the impact of various programs and initiatives, and use this information to advocate for policy changes or other interventions.

Private companies also employ researchers, particularly in industries such as technology and healthcare. These researchers may be responsible for developing new products, improving existing technologies, or conducting market research to understand consumer preferences and behaviors.

Regardless of the setting, researchers typically spend a significant amount of time conducting research, analyzing data, and communicating their findings through presentations, reports, and publications. They may also collaborate with other researchers or professionals in their field, attend conferences and workshops, and stay up-to-date with the latest research and developments in their area of expertise.

Frequently Asked Questions

Academic writer vs researcher.

An academic writer is someone who produces written material for academic purposes, such as research papers, essays, and other scholarly works. Academic writers may work as freelance writers, editors, or as staff writers for academic institutions or publishers.

On the other hand, a researcher is someone who conducts original research to generate new knowledge or validate existing knowledge. Researchers may work in academic settings, government agencies, private companies, or non-profit organizations. They typically design and execute experiments, surveys, or other data collection methods, analyze the data, and draw conclusions based on their findings.

While there may be some overlap between the skills required for academic writing and research, they are distinct activities with different goals. Academic writers often rely on the research of others to support their arguments, while researchers generate new knowledge through their own experiments and data analysis. However, academic writers may also be researchers who write about their own research findings.

Continue reading

Definition of 'research work'

Research work in british english.

Examples of 'research work' in a sentence research work

Trends of research work.

View usage for: All Years Last 10 years Last 50 years Last 100 years Last 300 years

Browse alphabetically research work

• research topic
• research unit
• research vessel
• research work
• research worker
• researchers calculate
• All ENGLISH words that begin with 'R'

Quick word challenge

Quiz Review

Score: 0 / 5

Wordle Helper

Scrabble Tools

Words and phrases

Personal account.

• Access or purchase personal subscriptions
• Get our newsletter
• Save searches
• Set display preferences

Institutional access

Sign in with library card

Sign in with username / password

Recommend to your librarian

Institutional account management

Sign in as administrator on Oxford Academic

research noun 1

• Hide all quotations

What does the noun research mean?

There are seven meanings listed in OED's entry for the noun research , three of which are labelled obsolete. See ‘Meaning & use’ for definitions, usage, and quotation evidence.

How common is the noun research ?

How is the noun research pronounced, british english, u.s. english, where does the noun research come from.

Earliest known use

The earliest known use of the noun research is in the late 1500s.

OED's earliest evidence for research is from 1577, in ‘F. de L'Isle’'s Legendarie .

research is apparently formed within English, by derivation; modelled on a French lexical item.

Etymons: re- prefix , search n.

Nearby entries

• rescuing, adj. 1574–
• resculpt, v. 1926–
• resculpting, n. 1940–
• rescussee, n. 1652–1823
• rescusser, n. 1632–1704
• rese, n. Old English–1600
• rese, v.¹ Old English–1450
• rese, v.² Old English–1582
• reseal, v. 1624–
• resealable, adj. 1926–
• research, n.¹ 1577–
• re-search, n.² 1605–
• research, v.¹ 1588–
• re-search, v.² 1708–
• researchable, adj. 1927–
• research and development, n. 1892–
• researched, adj. 1636–
• researcher, n. 1615–
• researchful, adj. a1834–
• research hospital, n. 1900–
• researching, n. 1611–

Thank you for visiting Oxford English Dictionary

To continue reading, please sign in below or purchase a subscription. After purchasing, please sign in below to access the content.

Meaning & use

Pronunciation, compounds & derived words, entry history for research, n.¹.

research, n.¹ was revised in March 2010.

research, n.¹ was last modified in September 2023.

oed.com is a living text, updated every three months. Modifications may include:

• further revisions to definitions, pronunciation, etymology, headwords, variant spellings, quotations, and dates;
• new senses, phrases, and quotations.

Revisions and additions of this kind were last incorporated into research, n.¹ in September 2023.

Earlier versions of this entry were published in:

OED First Edition (1906)

• Find out more

OED Second Edition (1989)

• View research, n.¹ in OED Second Edition

Please submit your feedback for research, n.¹

Please include your email address if you are happy to be contacted about your feedback. OUP will not use this email address for any other purpose.

Citation details

Factsheet for research, n.¹, browse entry.

• Skip to main content
• Keyboard shortcuts for audio player
• Official Biz
• Behind The Stories
• Station Stories
• I Heart NPR

From NPR President and CEO Katherine Maher: Thoughts on our mission and our work

The message below was sent by NPR's President and CEO to all staff:

This has been a long week. I'll apologize in advance for the length of this note, and for it being the first way so many of you hear from me on more substantive issues. Thanks for bearing with me, as there's a lot that should be said.

I joined this organization because public media is essential for an informed public. At its best, our work can help shape and illuminate the very sense of what it means to have a shared public identity as fellow Americans in this sprawling and enduringly complex nation.

NPR's service to this aspirational mission was called in question this week, in two distinct ways. The first was a critique of the quality of our editorial process and the integrity of our journalists. The second was a criticism of our people on the basis of who we are.

Asking a question about whether we're living up to our mission should always be fair game: after all, journalism is nothing if not hard questions. Questioning whether our people are serving our mission with integrity, based on little more than the recognition of their identity, is profoundly disrespectful, hurtful, and demeaning.

It is deeply simplistic to assert that the diversity of America can be reduced to any particular set of beliefs, and faulty reasoning to infer that identity is determinative of one's thoughts or political leanings. Each of our colleagues are here because they are excellent, accomplished professionals with an intense commitment to our work: we are stronger because of the work we do together, and we owe each other our utmost respect. We fulfill our mission best when we look and sound like the country we serve.

NPR has some of the finest reporters, editors, and producers in journalism. Our reporting and programming is not only consistently recognized and rewarded for its quality, depth, and nuance; but at its best, it makes a profound difference in people's lives. Parents, patients, veterans, students, and so many more have directly benefited from the impact of our journalism. People come to work here because they want to report, and report deeply, in service to an informed public, and to do work that makes a difference.

This is the work of our people, and our people represent America, our irreducibly complex nation. Given the very real challenges of covering the myriad perspectives, motivations, and interests of a nation of more than 330 million very different people, we succeed through our diversity. This is a bedrock institutional commitment, hard-won, and hard-protected.

We recognize that this work is a public trust, one established by Congress more than 50 years ago with the creation of the public broadcasting system. In order to hold that trust, we owe it our continued, rigorous accountability. When we are asked questions about who we serve and how that influences our editorial choices, we should be prepared to respond. It takes great strength to be comfortable with turning the eye of journalistic accountability inwards, but we are a news organization built on a foundation of robust editorial standards and practices, well-constructed to withstand the hardest of gazes.

It is true that our audiences have unquestionably changed over the course of the past two decades. There is much to be proud of here: through difficult, focused work, we have earned new trust from younger, more diverse audiences, particularly in our digital experiences. These audiences constitute new generations of listeners, are more representative of America, and our changing patterns of listening, viewing, and reading.

At the same time, we've seen some concerning changes: the diffusion of drivetime, an audience skewing further away in age from the general population, and significant changes in political affiliations have all been reflected in the changing composition of our broadcast radio audiences. Of course, some of these changes are representative of trends outside our control — but we owe it to our mission and public interest mandate to ask, what levers do we hold?

A common quality of exceptional organizations is humility and the ability to learn. We owe it to our public interest mandate to ask ourselves: could we serve more people, from broader audiences across America? Years ago we began asking this question as part of our North Star work to earn the trust of new audiences. And more recently, this is why the organization has taken up the call of audience data, awareness, and research: so we can better understand who we are serving, and who we are not.

Our initial research has shown that curiosity is the unifying throughline for people who enjoy NPR's journalism and programming. Curiosity to know more, to learn, to experience, to change. This is a compelling insight, as curiosity only further expands the universe of who we might serve. It's a cross-cutting trait, pretty universal to all people, and found in just about every demographic in every part of the nation.

As an organization, we must invest in the resources that will allow us to be as curious as the audiences we serve, and expand our efforts to understand how to serve our nation better. We recently completed in-depth qualitative research with a wide range of listeners across the country, learning in detail what they think about NPR and how they view our journalism. Over the next two years we plan to conduct audience research across our entire portfolio of programming, in order to give ourselves the insight we need to extend the depth and breadth of our service to the American public.

It is also essential that we listen closely to the insights and experiences of our colleagues at our 248 Member organizations. Their presence across America is foundational to our mission: serving and engaging audiences that are as diverse as our nation: urban and rural, liberal and conservative, rich and poor, often together in one community.

We will begin by implementing an idea that has been proposed for some time: establishing quarterly NPR Network-wide editorial planning and review meetings, as a complement to our other channels for Member station engagement. These will serve as a venue for NPR newsroom leadership to hear directly from Member organization editorial leaders on how our journalism serves the needs of audiences in their communities, and a coordination mechanism for Network-wide editorial planning and newsgathering. We're starting right away: next week we plan to invite Members to join us for an initial scoping conversation.

And in the spirit of learning from our own work, we will introduce regular opportunities to connect what our research is telling us about our audiences to the practical application of how we're serving them. As part of the ongoing unification of our Content division, Interim Chief Content Officer, Edith Chapin, will establish a broad-based, rotating group that will meet monthly to review our coverage across all platforms. Some professions call this a retro, a braintrust, a 'crit,' or tuning session — this is an opportunity to take a break from the relentless pressure of the clock in order to reflect on how we're meeting our mandate, what we're catching and what we're missing, and learn from our colleagues in a climate of respectful, open-minded discussion.

The spirit of our founding newsroom and network was one of experimentation, creativity, and direct connection with our listeners across America. Our values are a direct outgrowth of this moment: the independence of a public trust, the responsibility to capture the voice and spirit of a nation, a willingness to push boundaries to tell the stories that matter. We're no strangers to change, continuously evolving as our network has grown, our programming has expanded, and our audiences have diversified — and as we look to a strategy that captures these values and opportunities, the future holds more change yet.

Two final thoughts on our mission:

I once heard missions like ours described as asymptotic — we can see our destination and we strive for it, but may never fully meet it. The value is in the continued effort: the challenge stretches on toward infinity and we follow, ever closer. Some people might find that exhausting. I suspect they don't work here. I suspect that you do because you find that challenge a means to constantly renew your work, and to reinfuse our mission with meaning as our audiences and world continues to change.

The strongest, most effective, and enduring missions are those that are owned far beyond the walls of their institution. Our staff, our Member stations, our donors, our listeners and readers, our ardent fans, even our loyal opposition all have a part to play: each of us come to the work because we believe in it, even as we each may have different perspectives on how we succeed. Every person I have met so far in my three weeks here has shown me how they live our mission every day, in their work and in their contributions to the community.

Continuing to uphold our excellence with confidence, having inclusive conversations that bridge perspectives, and learning more about the audiences we serve in order to continue to grow and thrive, adding more light to the illumination of who we are as a shared body public: I look forward to how we will do this work together.

• SUGGESTED TOPICS
• The Magazine
• Newsletters
• Managing Yourself
• Managing Teams
• Work-life Balance
• The Big Idea
• Data & Visuals
• Reading Lists
• Case Selections
• HBR Learning
• Topic Feeds
• Account Settings
• Email Preferences

6 Common Leadership Styles — and How to Decide Which to Use When

• Rebecca Knight

Being a great leader means recognizing that different circumstances call for different approaches.

Research suggests that the most effective leaders adapt their style to different circumstances — be it a change in setting, a shift in organizational dynamics, or a turn in the business cycle. But what if you feel like you’re not equipped to take on a new and different leadership style — let alone more than one? In this article, the author outlines the six leadership styles Daniel Goleman first introduced in his 2000 HBR article, “Leadership That Gets Results,” and explains when to use each one. The good news is that personality is not destiny. Even if you’re naturally introverted or you tend to be driven by data and analysis rather than emotion, you can still learn how to adapt different leadership styles to organize, motivate, and direct your team.

Much has been written about common leadership styles and how to identify the right style for you, whether it’s transactional or transformational, bureaucratic or laissez-faire. But according to Daniel Goleman, a psychologist best known for his work on emotional intelligence, “Being a great leader means recognizing that different circumstances may call for different approaches.”

• RK Rebecca Knight is a journalist who writes about all things related to the changing nature of careers and the workplace. Her essays and reported stories have been featured in The Boston Globe, Business Insider, The New York Times, BBC, and The Christian Science Monitor. She was shortlisted as a Reuters Institute Fellow at Oxford University in 2023. Earlier in her career, she spent a decade as an editor and reporter at the Financial Times in New York, London, and Boston.

Partner Center

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

• Knowledge Base

Methodology

Research Methods | Definitions, Types, Examples

Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs. quantitative : Will your data take the form of words or numbers?
• Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
• Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.

Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs. quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.

Primary vs. secondary research

Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs. experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

Receive feedback on language, structure, and formatting

Professional editors proofread and edit your paper by focusing on:

• Academic style
• Vague sentences
• Style consistency

See an example

Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.

Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

• From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that was collected either:

• During an experiment .
• Using probability sampling methods .

Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square test of independence
• Statistical power
• Descriptive statistics
• Degrees of freedom
• Pearson correlation
• Null hypothesis
• Double-blind study
• Case-control study
• Research ethics
• Data collection
• Hypothesis testing
• Structured interviews

Research bias

• Hawthorne effect
• Unconscious bias
• Recall bias
• Halo effect
• Self-serving bias
• Information bias

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

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

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

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.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

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 analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

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

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

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

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

Is this article helpful?

Other students also liked, writing strong research questions | criteria & examples.

• What Is a Research Design | Types, Guide & Examples
• Data Collection | Definition, Methods & Examples

More interesting articles

• Between-Subjects Design | Examples, Pros, & Cons
• Cluster Sampling | A Simple Step-by-Step Guide with Examples
• Confounding Variables | Definition, Examples & Controls
• Construct Validity | Definition, Types, & Examples
• Content Analysis | Guide, Methods & Examples
• Control Groups and Treatment Groups | Uses & Examples
• Control Variables | What Are They & Why Do They Matter?
• Correlation vs. Causation | Difference, Designs & Examples
• Correlational Research | When & How to Use
• Critical Discourse Analysis | Definition, Guide & Examples
• Cross-Sectional Study | Definition, Uses & Examples
• Descriptive Research | Definition, Types, Methods & Examples
• Ethical Considerations in Research | Types & Examples
• Explanatory and Response Variables | Definitions & Examples
• Explanatory Research | Definition, Guide, & Examples
• Exploratory Research | Definition, Guide, & Examples
• External Validity | Definition, Types, Threats & Examples
• Extraneous Variables | Examples, Types & Controls
• Guide to Experimental Design | Overview, Steps, & Examples
• How Do You Incorporate an Interview into a Dissertation? | Tips
• How to Do Thematic Analysis | Step-by-Step Guide & Examples
• How to Write a Literature Review | Guide, Examples, & Templates
• How to Write a Strong Hypothesis | Steps & Examples
• Inclusion and Exclusion Criteria | Examples & Definition
• Independent vs. Dependent Variables | Definition & Examples
• Inductive Reasoning | Types, Examples, Explanation
• Inductive vs. Deductive Research Approach | Steps & Examples
• Internal Validity in Research | Definition, Threats, & Examples
• Internal vs. External Validity | Understanding Differences & Threats
• Longitudinal Study | Definition, Approaches & Examples
• Mediator vs. Moderator Variables | Differences & Examples
• Mixed Methods Research | Definition, Guide & Examples
• Multistage Sampling | Introductory Guide & Examples
• Naturalistic Observation | Definition, Guide & Examples
• Operationalization | A Guide with Examples, Pros & Cons
• Population vs. Sample | Definitions, Differences & Examples
• Primary Research | Definition, Types, & Examples
• Qualitative vs. Quantitative Research | Differences, Examples & Methods
• Quasi-Experimental Design | Definition, Types & Examples
• Questionnaire Design | Methods, Question Types & Examples
• Random Assignment in Experiments | Introduction & Examples
• Random vs. Systematic Error | Definition & Examples
• Reliability vs. Validity in Research | Difference, Types and Examples
• Reproducibility vs Replicability | Difference & Examples
• Reproducibility vs. Replicability | Difference & Examples
• Sampling Methods | Types, Techniques & Examples
• Semi-Structured Interview | Definition, Guide & Examples
• Simple Random Sampling | Definition, Steps & Examples
• Single, Double, & Triple Blind Study | Definition & Examples
• Stratified Sampling | Definition, Guide & Examples
• Structured Interview | Definition, Guide & Examples
• Survey Research | Definition, Examples & Methods
• Systematic Review | Definition, Example, & Guide
• Systematic Sampling | A Step-by-Step Guide with Examples
• Textual Analysis | Guide, 3 Approaches & Examples
• The 4 Types of Reliability in Research | Definitions & Examples
• The 4 Types of Validity in Research | Definitions & Examples
• Transcribing an Interview | 5 Steps & Transcription Software
• Triangulation in Research | Guide, Types, Examples
• Types of Interviews in Research | Guide & Examples
• Types of Research Designs Compared | Guide & Examples
• Types of Variables in Research & Statistics | Examples
• Unstructured Interview | Definition, Guide & Examples
• What Is a Case Study? | Definition, Examples & Methods
• What Is a Case-Control Study? | Definition & Examples
• What Is a Cohort Study? | Definition & Examples
• What Is a Conceptual Framework? | Tips & Examples
• What Is a Controlled Experiment? | Definitions & Examples
• What Is a Double-Barreled Question?
• What Is a Focus Group? | Step-by-Step Guide & Examples
• What Is a Likert Scale? | Guide & Examples
• What Is a Prospective Cohort Study? | Definition & Examples
• What Is a Retrospective Cohort Study? | Definition & Examples
• What Is Action Research? | Definition & Examples
• What Is an Observational Study? | Guide & Examples
• What Is Concurrent Validity? | Definition & Examples
• What Is Content Validity? | Definition & Examples
• What Is Convenience Sampling? | Definition & Examples
• What Is Convergent Validity? | Definition & Examples
• What Is Criterion Validity? | Definition & Examples
• What Is Data Cleansing? | Definition, Guide & Examples
• What Is Deductive Reasoning? | Explanation & Examples
• What Is Discriminant Validity? | Definition & Example
• What Is Ecological Validity? | Definition & Examples
• What Is Ethnography? | Definition, Guide & Examples
• What Is Face Validity? | Guide, Definition & Examples
• What Is Non-Probability Sampling? | Types & Examples
• What Is Participant Observation? | Definition & Examples
• What Is Peer Review? | Types & Examples
• What Is Predictive Validity? | Examples & Definition
• What Is Probability Sampling? | Types & Examples
• What Is Purposive Sampling? | Definition & Examples
• What Is Qualitative Observation? | Definition & Examples
• What Is Qualitative Research? | Methods & Examples
• What Is Quantitative Observation? | Definition & Examples
• What Is Quantitative Research? | Definition, Uses & Methods

What is your plagiarism score?

Stanford Humanities Today

Arcade: a digital salon.

Hope: The Future of an Idea | 2024 Spring Salon

Where is hope in humanities research? Perhaps it's a concept with a particular history, perhaps a force whose effects are latent or invisible; or it may be absent altogether for reasons to explain. Does hope motivate one's work? What does hope mean intellectually and personally?

Please join us for brief responses to these questions by current fellows, followed by a general discussion with Q&A moderated by SHC Director Roland Greene . The event will conclude with a reception.

About the Speakers

Samia Errazzouki (Mellon Postdoctoral Fellow) is a historian of early Northwest Africa. She holds a PhD in history from the University of California, Davis and an MA in Arab Studies from Georgetown University. Her research and teaching focuses on trans-regional histories of racial capitalism, slavery, and empire. Errazzouki formerly worked as a Morocco-based journalist with the Associated Press, and later, with Reuters. She is currently a co-editor of Jadaliyya and assistant editor of The Journal of North African Studies .

Jisha Menon (Violet Andrews Whittier Internal Fellow) is Professor of Theater and Performance Studies, and, by courtesy, of Comparative Literature at Stanford University. She is the author of Brutal Beauty: Aesthetics and Aspiration in Urban India (Northwestern UP, 2021) and The Performance of Nationalism: India, Pakistan and the Memory of Partition (Cambridge UP, 2013). She is also co-editor of two volumes: Violence Performed: Local Roots and Global Routes of Conflict (Palgrave-Macmillan Press, 2009) and Performing the Secular: Religion, Representation, and Politics (Palgrave Macmillan, 2017).

Joseph Wager (SHC Dissertation Prize Fellow) is a PhD Candidate in Iberian and Latin American Cultures at Stanford University. He is writing a dissertation focused on the form of the stories about desaparecidos, what is said about desaparecidos, in contemporary Colombia and Mexico. The dissertation places social-scientific inquiry, the work of activists and collectives, and legal instruments in dialogue with art installations, film, novels, performances, and poems. Underpinning this combination is 1. the idea that human-rights changes stem from how individual and collective actions resist institutionalization or translate into institutions and 2. that cultural products (e.g., art) and their form are crucial to the understanding of such processes.

Ya Zuo (External Faculty Fellow) is an associate professor of History at University of California, Santa Barbara. She is a cultural historian of middle and late imperial China. She is the author of Shen Gua’s Empiricism (Harvard University Press, 2018) and a range of articles on subjects such as theory of knowledge, sensory history, medical history, book history, and the history of emotions.

Stanford Humanities Center 424 Santa Teresa Street

Also online via Zoom

Discovering Humanities Research at Stanford

Stanford Humanities Center

Advancing Research in the Humanities

Humanities Research for a Digital Future

The Humanities in the World

• Annual Reports
• Humanitrees
• Humanities Center Fellows
• Advisory Council
• Director's Alumni Cabinet
• Honorary Fellows
• Hume Honors Fellows
• International Visitors
• Workshop Coordinators
• Why Humanities Matter
• Fellowships for External Faculty
• Fellowships for Stanford Faculty
• Mellon Fellowship of Scholars in the Humanities
• Dissertation Fellowships FAQs
• Career Launch Fellowships
• Fellowships for Stanford Undergraduates
• International Visitors Program
• FAQ Mellon Fellowship
• Faculty Fellowships FAQ
• Events Archive
• Public Lectures
• Checklist for Event Coordinators
• Facilities Guidelines
• co-sponsorship from the Stanford Humanities Center
• Call for Proposals
• Manuscript Workshops
• Past Workshops
• Research Workshops

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

• View all journals
• Explore content
• About the journal
• Publish with us
• Sign up for alerts
• 10 April 2024

How to supercharge cancer-fighting cells: give them stem-cell skills

• Sara Reardon 0

Sara Reardon is a freelance journalist based in Bozeman, Montana.

You can also search for this author in PubMed   Google Scholar

A CAR T cell (orange; artificially coloured) attacks a cancer cell (green). Credit: Eye Of Science/SPL

You have full access to this article via your institution.

Bioengineered immune cells have been shown to attack and even cure cancer , but they tend to get exhausted if the fight goes on for a long time. Now, two separate research teams have found a way to rejuvenate these cells: make them more like stem cells .

Both teams found that the bespoke immune cells called CAR T cells gain new vigour if engineered to have high levels of a particular protein. These boosted CAR T cells have gene activity similar to that of stem cells and a renewed ability to fend off cancer . Both papers were published today in Nature 1 , 2 .

The papers “open a new avenue for engineering therapeutic T cells for cancer patients”, says Tuoqi Wu, an immunologist at the University of Texas Southwestern in Dallas who was not involved in the research.

Reviving exhausted cells

CAR T cells are made from the immune cells called T cells, which are isolated from the blood of person who is going to receive treatment for cancer or another disease. The cells are genetically modified to recognize and attack specific proteins — called chimeric antigen receptors (CARs) — on the surface of disease-causing cells and reinfused into the person being treated.

But keeping the cells active for long enough to eliminate cancer has proved challenging, especially in solid tumours such as those of the breast and lung. (CAR T cells have been more effective in treating leukaemia and other blood cancers.) So scientists are searching for better ways to help CAR T cells to multiply more quickly and last longer in the body.

Cutting-edge CAR-T cancer therapy is now made in India — at one-tenth the cost

With this goal in mind, a team led by immunologist Crystal Mackall at Stanford University in California and cell and gene therapy researcher Evan Weber at the University of Pennsylvania in Philadelphia compared samples of CAR T cells used to treat people with leukaemia 1 . In some of the recipients, the cancer had responded well to treatment; in others, it had not.

The researchers analysed the role of cellular proteins that regulate gene activity and serve as master switches in the T cells. They found a set of 41 genes that were more active in the CAR T cells associated with a good response to treatment than in cells associated with a poor response. All 41 genes seemed to be regulated by a master-switch protein called FOXO1.

The researchers then altered CAR T cells to make them produce more FOXO1 than usual. Gene activity in these cells began to look like that of T memory stem cells, which recognize cancer and respond to it quickly.

The researchers then injected the engineered cells into mice with various types of cancer. Extra FOXO1 made the CAR T cells better at reducing both solid tumours and blood cancers. The stem-cell-like cells shrank a mouse’s tumour more completely and lasted longer in the body than did standard CAR T cells.

Master-switch molecule

A separate team led by immunologists Phillip Darcy, Junyun Lai and Paul Beavis at Peter MacCallum Cancer Centre in Melbourne, Australia, reached the same conclusion with different methods 2 . Their team was examining the effect of IL-15, an immune-signalling molecule that is administered alongside CAR T cells in some clinical trials. IL-15 helps to switch T cells to a stem-like state, but the cells can get stuck there instead of maturing to fight cancer.

The team analysed gene activity in CAR T cells and found that IL-15 turned on genes associated with FOXO1. The researchers engineered CAR T cells to produce extra-high levels of FOXO1 and showed that they became more stem-like, but also reached maturity and fought cancer without becoming exhausted. “It’s the ideal situation,” Darcy says.

Stem-cell and genetic therapies make a healthy marriage

The team also found that extra-high levels of FOXO1 improved the CAR T cells’ metabolism, allowing them to last much longer when infused into mice. “We were surprised by the magnitude of the effect,” says Beavis.

Mackall says she was excited to see that FOXO1 worked the same way in mice and humans. “It means this is pretty fundamental,” she says.

Engineering CAR T cells that overexpress FOXO1 might be fairly simple to test in people with cancer, although Mackall says researchers will need to determine which people and types of cancer are most likely to respond well to rejuvenated cells. Darcy says that his team is already speaking to clinical researchers about testing FOXO1 in CAR T cells — trials that could start within two years.

And Weber points to an ongoing clinical trial in which people with leukaemia are receiving CAR T cells genetically engineered to produce unusually high levels of another master-switch protein called c-Jun, which also helps T cells avoid exhaustion. The trial’s results have not been released yet, but Mackall says she suspects the same system could be applied to FOXO1 and that overexpressing both proteins might make the cells even more powerful.

Nature 628 , 486 (2024)

doi: https://doi.org/10.1038/d41586-024-01043-2

Doan, A. et al. Nature https://doi.org/10.1038/s41586-024-07300-8 (2024).

Article   Google Scholar  

Chan, J. D. et al. Nature https://doi.org/10.1038/s41586-024-07242-1 (2024).

Download references

Reprints and permissions

Related Articles

• Medical research

Bacteria deploy umbrella toxins against their competitors

News & Views 17 APR 24

Brain endothelial GSDMD activation mediates inflammatory BBB breakdown

Article 17 APR 24

ROS-dependent S-palmitoylation activates cleaved and intact gasdermin D

Article 10 APR 24

AI traces mysterious metastatic cancers to their source

News 17 APR 24

Biological age surges in survivors of childhood cancer

Research Highlight 11 APR 24

FOXO1 is a master regulator of memory programming in CAR T cells

Refining the impact of genetic evidence on clinical success

Analysis 17 APR 24

Blocking cell death limits lung damage and inflammation from influenza

News & Views 10 APR 24

FACULTY POSITION IN PATHOLOGY RESEARCH

Dallas, Texas (US)

The University of Texas Southwestern Medical Center (UT Southwestern Medical Center)

Postdoc Fellow / Senior Scientist

The Yakoub and Sulzer labs at Harvard Medical School-Brigham and Women’s Hospital and Columbia University

Boston, Massachusetts (US)

Harvard Medical School and Brigham and Women's Hospital

Postdoc in Computational Genomics – Machine Learning for Multi-Omics Profiling of Cancer Evolution

Computational Postdoc - Artificial Intelligence in Oncology and Regulatory Genomics and Cancer Evolution at the DKFZ - limited to 2 years

Heidelberg, Baden-Württemberg (DE)

German Cancer Research Center in the Helmholtz Association (DKFZ)

Computational Postdoc

The German Cancer Research Center is the largest biomedical research institution in Germany.

PhD / PostDoc Medical bioinformatics (m/f/d)

The Institute of Medical Bioinformatics and Systems Medicine / University of Freiburg is looking for a PhD/PostDoc Medical bioinformatics (m/w/d)

Freiburg im Breisgau, Baden-Württemberg (DE)

University of Freiburg

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Quick links

• Explore articles by subject
• Guide to authors
• Editorial policies

Watch CBS News

Why is looking at a solar eclipse dangerous without special glasses? Eye doctors explain.

By Sara Moniuszko

Edited By Allison Elyse Gualtieri

Updated on: April 8, 2024 / 8:54 AM EDT / CBS News

The solar eclipse will be visible for millions of Americans on April 8, 2024, making many excited to see it — but how you watch it matters, since it can be dangerous for your eyes. 

A  solar eclipse occurs when the moon passes between the sun and Earth, blocking the sun's light . When the moon blocks some of the sun, it's a partial solar eclipse, but when moon lines up with the sun, blocking all of its light, a total solar eclipse occurs,  NASA explains . Either way, you need eye protection when viewing.

"The solar eclipse will be beautiful, so I hope that everyone experiences it — but they need to experience it in the right way," said Dr. Jason P. Brinton, an ophthalmologist and medical director at Brinton Vision in St. Louis.

Here's what to know to stay safe.

Why is looking at a solar eclipse dangerous?

Looking at the sun — even when it's partially covered like during an eclipse — can cause eye damage.

There is no safe dose of solar ultraviolet rays or infrared radiation, said  Dr. Yehia Hashad , an ophthalmologist, retinal specialist and the chief medical officer at eye health company Bausch + Lomb.

"A very small dose could cause harm to some people," he said. "That's why we say the partial eclipse could also be damaging. And that's why we protect our eyes with the partial as well as with the full sun."

Some say that during a total eclipse, it's safe to view the brief period time when the moon completely blocks the sun without eye protection. But experts warn against it. 

"Totality of the eclipse lasts only about 1 to 3 minutes based on geographic location, and bright sunlight suddenly can appear as the moon continues to move," notes an eclipse viewing guide published in JAMA , adding, "even a few seconds of viewing the sun during an eclipse" can temporarily or permanently damage your vision. 

Do I need special glasses for eclipse viewing?

Yes.  Eclipse glasses are needed to protect your eyes if you want to look at the eclipse.

Regular sunglasses aren't protective enough for eclipse viewing — even if you stack more than one. 

"There's no amount of sunglasses that people can put on that will make up for the filtering that the ISO standard filters and the eclipse glasses provide," Brinton said.

You also shouldn't look at the eclipse through a camera lens, phone, binoculars or telescope, according to NASA, even while wearing eclipse glasses. The solar rays can burn through the lens and cause serious eye injury.

Eclipse glasses must comply with the  ISO 12312-2 international safety standard , according to NASA, and should have an "ISO" label printed on them to show they comply. The American Astronomical Society  has a list  of approved solar viewers.

Can't find these, or they're sold out near you? You can also  make homemade viewers ,   which allow you to observe the eclipse indirectly — just don't accidentally look at the sun while using one.

How to keep kids safe during the solar eclipse

Since this eclipse is expected to occur around the time of dismissal for many schools across the country, it may be tempting for students to view it without the proper safety precautions while getting to and from their buses. That's why some school districts are  canceling classes early so kids can enjoy the event safely with their families.

Dr. Avnish Deobhakta, vitreoretinal surgeon at New York Eye and Ear Infirmary at Mount Sinai, said parents should also be careful because it can be difficult for children to listen or keep solar eclipse glasses on. 

"You want to actually, in my opinion, kind of avoid them even looking at the eclipse, if possible," he said. "Never look directly at the sun, always wear the right eclipse sunglasses if you are going to look at the sun and make sure that those are coming from a reliable source."

Brinton recommends everyone starts their eclipse "viewing" early, by looking at professional photos and videos of an eclipse online or visiting a local planetarium. 

That way, you "have an idea of what to expect," he said. 

He also recommends the foundation  Prevent Blindness , which has resources for families about eclipse safety.

What happens if you look at a solar eclipse without eclipse glasses?

While your eyes likely won't hurt in the moment if you look at the eclipse without protection, due to lowered brightness and where damage occurs in the eye, beware: The rays can still cause damage .

The harm may not be apparent immediately. Sometimes trouble starts to appear one to a few days following the event. It could affect just one or both eyes.

And while some will regain normal visual function, sometimes the damage is permanent. 

"Often there will be some recovery of the vision in the first few months after it, but sometimes there is no recovery and sometimes there's a degree to which it is permanent," Brinton said. 

How long do you have to look at the eclipse to damage your eyes?

Any amount of time looking at the eclipse without protection is too long, experts say. 

"If someone briefly looks at the eclipse, if it's extremely brief, in some cases there won't be damage. But damage can happen even within a fraction of a second in some cases," Brinton said. He said he's had patients who have suffered from solar retinopathy, the official name for the condition.

Deobhakta treated a patient who watched the 2017 solar eclipse for 20 seconds without proper eye protection. She now has permanent damage in the shape of a crescent that interferes with her vision. 

"The crescent that is burned into the retina, the patient sees as black in her visual field," he said. "The visual deficit that she has will never go away."

How to know if you've damaged your eyes from looking at the eclipse

Signs and symptoms of eye damage following an eclipse viewing include headaches, blurred vision, dark spots, changes to how you see color, lines and shapes. 

Unfortunately, there isn't a treatment for solar retinopathy.

"Seeing an eye care professional to solidify the diagnosis and for education I think is reasonable," Brinton said, but added, "right now there is nothing that we do for this. Just wait and give it time and the body does tend to heal up a measure of it."

Sara Moniuszko is a health and lifestyle reporter at CBSNews.com. Previously, she wrote for USA Today, where she was selected to help launch the newspaper's wellness vertical. She now covers breaking and trending news for CBS News' HealthWatch.

More from CBS News

Owe back taxes on April 15? Here's how tax relief can help now.

Is trendy "all-body" deodorant necessary? Dermatologists weigh in.

3 advantages HELOCs have over other credit options right now

Should you get a home equity loan before the Fed's April meeting?

• Latest Latest
• The West The West
• Sports Sports
• Opinion Opinion
• Magazine Magazine

What the U.K.’s explosive Cass Review means for gender medicine in the U.S.

The report is a gauntlet thrown down to the biden administration and organizations supporting controversial treatments for children.

By Valerie Hudson

A 388-page bomb just dropped in the U.K., and reverberations will be felt around the world. The long-awaited final Cass Review — commissioned by the National Health Service on gender-related medical treatment — has just been published. Dr. Hilary Cass, the author of this independent review, is one of Britain’s preeminent pediatricians and formerly the president of the Royal College of Paediatrics and Child Health.

The Cass Review is painstaking in its detail and comprehensive in its scope. Its findings have already caused the U.K.’s Council for Psychotherapy to cease its advocacy for an uncritically affirming stance for those with gender dysphoria. In anticipation of the final report, last month the U.K. banned the NHS from providing puberty blockers, cross-sex hormones or surgery to minors. A law prohibiting private clinics from offering these practices is also in the works.

What does the Cass Review say?

Overall, it finds the evidence for the use of puberty blockers and cross-sex hormones as treatment for gender dysphoria to be quite weak.

With regard to puberty blockers, the review “found no evidence that puberty blockers improve body image or dysphoria, and very limited evidence for positive mental health outcomes, which without a control group could be due to placebo effect or concomitant psychological support.”

Additionally, the use of puberty blockers was not only associated with significant loss in bone density, but the review found evidence that “brain maturation may be temporarily or permanently disrupted by the use of puberty blockers, which could have a significant impact on the young person’s ability to make complex risk-laden decisions, as well as having possible longer-term neuropsychological consequences.”

The effects of puberty blockers may not, then, be reversible. In fact, the review notes, “given that the vast majority of young people started on puberty blockers proceed from puberty blockers to masculinising/ feminising hormones, there is no evidence that puberty blockers buy time to think, and some concern that they may change the trajectory of psychosexual and gender identity development.”

With regard to the use of cross-sex hormones, similar conclusions are reached: “There is a lack of high-quality research assessing the outcomes of hormone interventions in adolescents with gender dysphoria/incongruence, and few studies that undertake long-term follow up. No conclusions can be drawn about the effect on gender dysphoria, body satisfaction, psychosocial health, cognitive development, or fertility. Uncertainty remains about the outcomes for height/growth, cardiometabolic and bone health.”

Noting the lack of evidence as to benefits and harms, the author concludes that it is unethical to prescribe these medications to anyone under the age of 18, and possibly unethical to prescribe them to anyone younger than their mid-20s, when full executive reasoning has been achieved.

Proponents of gender-altering medical treatment have argued that treatment lowers the risk of suicide among gender dysphoric young people but Cass does not find this to be the case. The report says: “[I]t is well established that children and young people with gender dysphoria are at increased risk of suicide, but suicide risk appears to be comparable to other young people with a similar range of mental health and psychosocial challenges. Some clinicians feel under pressure to support a medical pathway based on widespread reporting that gender-affirming treatment reduces suicide risk. This conclusion was not supported by the systematic review. In summary, the evidence does not adequately support the claim that gender-affirming treatment reduces suicide risk.”

Given no real evidence of any improvement with use of puberty blockers and cross-sex hormones in gender dysphoric children, and given the clear gaps in the research literature, the review concludes that there can be no informed consent on the part of either parents or patients to this treatment. Without the possibility of informed consent, it is patently unethical for doctors to prescribe such treatments.

The Cass Review also weighs in on the issue of social transition, which has been a source of conflict between schools and parents in the U.K.

While U.K. schools are prepared to socially transition a child — and to do so without informing parents — the Cass Review asserts that social transition is consequential, especially for younger children. The review notes, “sex of rearing seems to have some influence on eventual gender outcome, and it is possible that social transition in childhood may change the trajectory of gender identity development for children with early gender incongruence. For this reason, a more cautious approach needs to be taken for children than for adolescents.” For this reason, the U.K. government has recently issued guidance to stop schools from socially transitioning children.

The concept of “conversion therapy” also needs to be rethought, according to the Cass Review. Given the significantly higher rate of mental health comorbidities of gender dysphoric children compared to controls, it is important that mental health professionals be allowed to investigate whether a child’s gender dysphoria may be relieved through psychological interventions. Proposed bans on “conversion therapy” might stifle such needed therapy.

Furthermore, the review insists that detransitioning support also be provided by the NHS since, according to Cass, the number of detransitioners appears to be increasing.

All in all, the Cass Review is an important achievement. It will be the foundation for an almost 180-degree turn in how the National Health Service treats gender dysphoric children. It is also a massive repudiation of the care guidelines put forward by WPATH, the World Professional Association of Transgender Healthcare. The guidelines have been unjustifiably influential given their “lack [of] developmental rigour,” as the review politely puts it.

But the report represents more, at least to Americans. It is a gauntlet thrown down to U.S. professional organizations, such as the American Medical Association, the American Academy of Pediatrics and the American Psychological Association, all of which have uncritically adopted the clearly unethical WPATH approach. It is also a gauntlet thrown down to the Biden administration, which has followed suit.

With the publication of the Cass Review, American institutions must rethink their approach to the treatment of gender dysphoric children. That approach is now clearly seen to be wrong, and can no longer be ethically justified.

I’m planning on mailing a copy of the review to the U.S. Department of Health and Human Services, care of Dr. Rachel Levine.

Valerie M. Hudson is a university distinguished professor at the Bush School of Government and Public Service at Texas A&M University and a Deseret News contributor. Her views are her own.

• Weird But True
• Sex & Relationships
• Viral Trends
• Human Interest
• Fashion & Beauty
• Food & Drink

trending now in Lifestyle

I'm 61 but have the body of a 38-year-old — here's how I...

I can't stop having sex with my friends' wives — cuckolding...

My husband's groomsman gave us the most disgusting wedding gift...

Brazilian woman brazenly wheels elderly man's corpse into bank to...

Popular snacks could be banned in certain states over cancer fears

I’m a dietitian — here’s the secret to intermittent fasting

Lack of sleep could be a factor in a 'silent epidemic,' shares...

The one shocking mistake that led to a US tourist's staggering...

What is ‘hermeneutic labor’ why women are forced to figure out what men really mean.

• View Author Archive
• Follow on Twitter
• Get author RSS feed

Thanks for contacting us. We've received your submission.

It’s an age-old question: How do you really feel?

Comprehending someone’s communication style can be challenging, especially through text messages, which can lead to misunderstandings and unintentionally hurting the other person’s feelings.

And one of the hardest obstacles that women specifically encounter when dating someone is unclear communication, according to an expert.

“These conversations generally happened when one of us started dating a new guy. A lot of the time, we’d try to guess at what a guy wanted and how to avoid ‘freaking him out,'” Ellie Anderson, an assistant professor of philosophy at Pomona College , told HuffPost regarding her new research on the subject.

Studies included in Anderson’s work, which focused on heterosexual and cisgender couples, revealed the name of the emotional effort women endure: “hermeneutic labor.”

Anderson described it as “imbalances” that are “produced by men’s inability to name and interpret their feelings and by the societal expectation that women manage their own emotions and those of their male partners simultaneously.”

Women can feel the most unsettled and confused after a text exchange with their counterpart. Once they receive a message that is hard to decipher, they feel the urge to become “Inspector Gadget” and use hermeneutic labor to figure out what the sender means instead of asking for clarification.

Another similar concept is “emotional labor,” which is the work involved in managing one’s emotions and expressions when interacting with others, explained Simply Psychology.

Anderson claims that since men may not fully express themselves, women have the impulse to put the pieces together so they understand what the person is trying to say.

“It’s a euphemism for hermeneutic labor,” Anderson said. “We tend to deny the substantial amounts of work that women do to maintain relationships, as well as the fact that a lot of this work is cognitive in character.”

She also claimed that while women do most of the emotional work, men do contribute to the relationship — just not as much as their counterparts.

Anderson unveiled three stages of Hermeneutic labor that people should be aware of:

• Interpreting your feelings and intentions
• Understanding the other person’s feelings, desires and intentions through their nonverbal cues or minimal communication
•  Comparing and contrasting both sets of feelings and intentions for conflict resolution

Despite the strenuous tasks women do to maintain a relationship, the hard work doesn’t go to waste, according to another expert.

“All this work can make the relationship stronger because it helps with communication, but it’s important to remember that this effort by women should be appreciated and not just expected,” marriage therapist Chappell Marsh told  HuffPost.  

To avoid the stresses of hermeneutic and emotional labor, people must incorporate clarity when communicating and praise their partner when there’s improvement.

“Show appreciation for her efforts and acknowledge the strain it can put on her ― or him,” Marsh suggested. “This recognition can be validating and can lead to a more balanced relationship dynamic.”

Share this article: