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Neag School of Education

Educational Research Basics by Del Siegle

Qualitative research.

Although researchers in anthropology and sociology have used the approach known as qualitative research  for a century, the term was not used in the social sciences until the late 1960s. The term qualitative research is used as an umbrella term to refer to several research strategies. Five common types of qualitative research are grounded theory , ethnographic , narrative research , case studies , and phenomenology.

It is unfair to judge qualitative research by a quantitative research paradigm, just as it is unfair to judge quantitative research from the qualitative research paradigm .

“Qualitative researchers seek to make sense of personal stories and the ways in which they intersect” (Glesne & Peshkin, 1992). As one qualitative researcher noted, “I knew that I was not at home in the world of numbers long before I realized that I was at home in the world of words.”

The data collected in qualitative research has been termed “soft”, “that is, rich in description of people, places, and conversations, and not easily handled by statistical procedures.” Researchers do not approach their research with specific questions to answer or hypotheses to test. They are concerned with understanding behavior from the subject’s own frame of reference. Qualitative researcher believe that “multiple ways of interpreting experiences are available to each of us through interacting with others, and that it is the meaning of our experiences that constitutes reality. Reality, consequently,  is ‘socially constructed'” (Bogdan & Biklen, 1992).

Data is usually collected through sustained contact with people in the settings where they normally spend their time. Participant observations and in-depth interviewing are the two most common ways to collect data. “The researcher enters the world of the people he or she plans to study, gets to know, be known, and trusted by them, and systematically keeps a detailed written record of what is heard and observed. This material is supplemented by other data such as [artifacts], school memos and records, newspaper articles, and photographs” (Bogdan & Biklen, 1992).

Rather than test theories, qualitative researchers often inductively analyze their data and develop theories through a process that Strauss called ” developing grounded theory “. They use purposive sampling to select the people they study. Subjects are selected because of who they are and what they know, rather than by chance.

Some key terms:

Access to a group is often made possible by a gate keeper . The gate keeper is the person who helps you gain access to the people you wish to study. In a school setting it might be a principal.

Most qualitative studies involve at least one key informant . The key informant knows the inside scoop and can point you to other people who have valuable information. The “key informant” is not necessarily the same as the gate keeper. A custodian might be a good key informant to understanding faculty interactions. The process of one subject recommending that you talk with another subject is called “ snowballing .”

Qualitative researchers use rich-thick description when they write their research reports. Unlike quantitative research where the researcher wished to generalize his or her findings beyond the sample from whom the data was drawn, qualitative researcher provide rich-thick descriptions for their readers and let their readers determine if the situation described in the qualitative study applies to the reader’s situation. Qualitative researchers do not use the terms validity and reliability. Instead they are concerned about the trustworthiness of their research.

Qualitative researchers often begin their interviews with grand tour questions . Grand tour questions are open ended questions that allow the interviewee to set the direction of the interview. The interviewer then follows the leads that the interviewee provides. The interviewer can always return to his or her preplanned interview questions after the leads have been followed.

Qualitative researchers continue to collect data until they reach a point of data saturation . Data saturation occurs when the researcher is no longer hearing or seeing new information. Unlike quantitative researchers who wait until the end of the study to analyze their data, qualitative researcher analyze their data throughout their study.

Note:   It is beyond the scope of this course to provide an extensive overview of qualitative research. Our purpose is to make you aware of this research option, and hopefully help you develop an appreciation of it. Qualitative research has become a popular research procedure in education.

Del Siegle, PhD [email protected] www.delsiegle.info

Qualitative Research : Definition

Qualitative research is the naturalistic study of social meanings and processes, using interviews, observations, and the analysis of texts and images.  In contrast to quantitative researchers, whose statistical methods enable broad generalizations about populations (for example, comparisons of the percentages of U.S. demographic groups who vote in particular ways), qualitative researchers use in-depth studies of the social world to analyze how and why groups think and act in particular ways (for instance, case studies of the experiences that shape political views).   

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Chapter 1. Introduction

“Science is in danger, and for that reason it is becoming dangerous” -Pierre Bourdieu, Science of Science and Reflexivity

Why an Open Access Textbook on Qualitative Research Methods?

I have been teaching qualitative research methods to both undergraduates and graduate students for many years.  Although there are some excellent textbooks out there, they are often costly, and none of them, to my mind, properly introduces qualitative research methods to the beginning student (whether undergraduate or graduate student).  In contrast, this open-access textbook is designed as a (free) true introduction to the subject, with helpful, practical pointers on how to conduct research and how to access more advanced instruction.  

Textbooks are typically arranged in one of two ways: (1) by technique (each chapter covers one method used in qualitative research); or (2) by process (chapters advance from research design through publication).  But both of these approaches are necessary for the beginner student.  This textbook will have sections dedicated to the process as well as the techniques of qualitative research.  This is a true “comprehensive” book for the beginning student.  In addition to covering techniques of data collection and data analysis, it provides a road map of how to get started and how to keep going and where to go for advanced instruction.  It covers aspects of research design and research communication as well as methods employed.  Along the way, it includes examples from many different disciplines in the social sciences.

The primary goal has been to create a useful, accessible, engaging textbook for use across many disciplines.  And, let’s face it.  Textbooks can be boring.  I hope readers find this to be a little different.  I have tried to write in a practical and forthright manner, with many lively examples and references to good and intellectually creative qualitative research.  Woven throughout the text are short textual asides (in colored textboxes) by professional (academic) qualitative researchers in various disciplines.  These short accounts by practitioners should help inspire students.  So, let’s begin!

What is Research?

When we use the word research , what exactly do we mean by that?  This is one of those words that everyone thinks they understand, but it is worth beginning this textbook with a short explanation.  We use the term to refer to “empirical research,” which is actually a historically specific approach to understanding the world around us.  Think about how you know things about the world. [1] You might know your mother loves you because she’s told you she does.  Or because that is what “mothers” do by tradition.  Or you might know because you’ve looked for evidence that she does, like taking care of you when you are sick or reading to you in bed or working two jobs so you can have the things you need to do OK in life.  Maybe it seems churlish to look for evidence; you just take it “on faith” that you are loved.

Only one of the above comes close to what we mean by research.  Empirical research is research (investigation) based on evidence.  Conclusions can then be drawn from observable data.  This observable data can also be “tested” or checked.  If the data cannot be tested, that is a good indication that we are not doing research.  Note that we can never “prove” conclusively, through observable data, that our mothers love us.  We might have some “disconfirming evidence” (that time she didn’t show up to your graduation, for example) that could push you to question an original hypothesis , but no amount of “confirming evidence” will ever allow us to say with 100% certainty, “my mother loves me.”  Faith and tradition and authority work differently.  Our knowledge can be 100% certain using each of those alternative methods of knowledge, but our certainty in those cases will not be based on facts or evidence.

For many periods of history, those in power have been nervous about “science” because it uses evidence and facts as the primary source of understanding the world, and facts can be at odds with what power or authority or tradition want you to believe.  That is why I say that scientific empirical research is a historically specific approach to understand the world.  You are in college or university now partly to learn how to engage in this historically specific approach.

In the sixteenth and seventeenth centuries in Europe, there was a newfound respect for empirical research, some of which was seriously challenging to the established church.  Using observations and testing them, scientists found that the earth was not at the center of the universe, for example, but rather that it was but one planet of many which circled the sun. [2]   For the next two centuries, the science of astronomy, physics, biology, and chemistry emerged and became disciplines taught in universities.  All used the scientific method of observation and testing to advance knowledge.  Knowledge about people , however, and social institutions, however, was still left to faith, tradition, and authority.  Historians and philosophers and poets wrote about the human condition, but none of them used research to do so. [3]

It was not until the nineteenth century that “social science” really emerged, using the scientific method (empirical observation) to understand people and social institutions.  New fields of sociology, economics, political science, and anthropology emerged.  The first sociologists, people like Auguste Comte and Karl Marx, sought specifically to apply the scientific method of research to understand society, Engels famously claiming that Marx had done for the social world what Darwin did for the natural world, tracings its laws of development.  Today we tend to take for granted the naturalness of science here, but it is actually a pretty recent and radical development.

To return to the question, “does your mother love you?”  Well, this is actually not really how a researcher would frame the question, as it is too specific to your case.  It doesn’t tell us much about the world at large, even if it does tell us something about you and your relationship with your mother.  A social science researcher might ask, “do mothers love their children?”  Or maybe they would be more interested in how this loving relationship might change over time (e.g., “do mothers love their children more now than they did in the 18th century when so many children died before reaching adulthood?”) or perhaps they might be interested in measuring quality of love across cultures or time periods, or even establishing “what love looks like” using the mother/child relationship as a site of exploration.  All of these make good research questions because we can use observable data to answer them.

What is Qualitative Research?

“All we know is how to learn. How to study, how to listen, how to talk, how to tell.  If we don’t tell the world, we don’t know the world.  We’re lost in it, we die.” -Ursula LeGuin, The Telling

At its simplest, qualitative research is research about the social world that does not use numbers in its analyses.  All those who fear statistics can breathe a sigh of relief – there are no mathematical formulae or regression models in this book! But this definition is less about what qualitative research can be and more about what it is not.  To be honest, any simple statement will fail to capture the power and depth of qualitative research.  One way of contrasting qualitative research to quantitative research is to note that the focus of qualitative research is less about explaining and predicting relationships between variables and more about understanding the social world.  To use our mother love example, the question about “what love looks like” is a good question for the qualitative researcher while all questions measuring love or comparing incidences of love (both of which require measurement) are good questions for quantitative researchers. Patton writes,

Qualitative data describe.  They take us, as readers, into the time and place of the observation so that we know what it was like to have been there.  They capture and communicate someone else’s experience of the world in his or her own words.  Qualitative data tell a story. ( Patton 2002:47 )

Qualitative researchers are asking different questions about the world than their quantitative colleagues.  Even when researchers are employed in “mixed methods” research ( both quantitative and qualitative), they are using different methods to address different questions of the study.  I do a lot of research about first-generation and working-college college students.  Where a quantitative researcher might ask, how many first-generation college students graduate from college within four years? Or does first-generation college status predict high student debt loads?  A qualitative researcher might ask, how does the college experience differ for first-generation college students?  What is it like to carry a lot of debt, and how does this impact the ability to complete college on time?  Both sets of questions are important, but they can only be answered using specific tools tailored to those questions.  For the former, you need large numbers to make adequate comparisons.  For the latter, you need to talk to people, find out what they are thinking and feeling, and try to inhabit their shoes for a little while so you can make sense of their experiences and beliefs.

Examples of Qualitative Research

You have probably seen examples of qualitative research before, but you might not have paid particular attention to how they were produced or realized that the accounts you were reading were the result of hours, months, even years of research “in the field.”  A good qualitative researcher will present the product of their hours of work in such a way that it seems natural, even obvious, to the reader.  Because we are trying to convey what it is like answers, qualitative research is often presented as stories – stories about how people live their lives, go to work, raise their children, interact with one another.  In some ways, this can seem like reading particularly insightful novels.  But, unlike novels, there are very specific rules and guidelines that qualitative researchers follow to ensure that the “story” they are telling is accurate , a truthful rendition of what life is like for the people being studied.  Most of this textbook will be spent conveying those rules and guidelines.  Let’s take a look, first, however, at three examples of what the end product looks like.  I have chosen these three examples to showcase very different approaches to qualitative research, and I will return to these five examples throughout the book.  They were all published as whole books (not chapters or articles), and they are worth the long read, if you have the time.  I will also provide some information on how these books came to be and the length of time it takes to get them into book version.  It is important you know about this process, and the rest of this textbook will help explain why it takes so long to conduct good qualitative research!

Example 1 : The End Game (ethnography + interviews)

Corey Abramson is a sociologist who teaches at the University of Arizona.   In 2015 he published The End Game: How Inequality Shapes our Final Years ( 2015 ). This book was based on the research he did for his dissertation at the University of California-Berkeley in 2012.  Actually, the dissertation was completed in 2012 but the work that was produced that took several years.  The dissertation was entitled, “This is How We Live, This is How We Die: Social Stratification, Aging, and Health in Urban America” ( 2012 ).  You can see how the book version, which was written for a more general audience, has a more engaging sound to it, but that the dissertation version, which is what academic faculty read and evaluate, has a more descriptive title.  You can read the title and know that this is a study about aging and health and that the focus is going to be inequality and that the context (place) is going to be “urban America.”  It’s a study about “how” people do something – in this case, how they deal with aging and death.  This is the very first sentence of the dissertation, “From our first breath in the hospital to the day we die, we live in a society characterized by unequal opportunities for maintaining health and taking care of ourselves when ill.  These disparities reflect persistent racial, socio-economic, and gender-based inequalities and contribute to their persistence over time” ( 1 ).  What follows is a truthful account of how that is so.

Cory Abramson spent three years conducting his research in four different urban neighborhoods.  We call the type of research he conducted “comparative ethnographic” because he designed his study to compare groups of seniors as they went about their everyday business.  It’s comparative because he is comparing different groups (based on race, class, gender) and ethnographic because he is studying the culture/way of life of a group. [4]   He had an educated guess, rooted in what previous research had shown and what social theory would suggest, that people’s experiences of aging differ by race, class, and gender.  So, he set up a research design that would allow him to observe differences.  He chose two primarily middle-class (one was racially diverse and the other was predominantly White) and two primarily poor neighborhoods (one was racially diverse and the other was predominantly African American).  He hung out in senior centers and other places seniors congregated, watched them as they took the bus to get prescriptions filled, sat in doctor’s offices with them, and listened to their conversations with each other.  He also conducted more formal conversations, what we call in-depth interviews, with sixty seniors from each of the four neighborhoods.  As with a lot of fieldwork , as he got closer to the people involved, he both expanded and deepened his reach –

By the end of the project, I expanded my pool of general observations to include various settings frequented by seniors: apartment building common rooms, doctors’ offices, emergency rooms, pharmacies, senior centers, bars, parks, corner stores, shopping centers, pool halls, hair salons, coffee shops, and discount stores. Over the course of the three years of fieldwork, I observed hundreds of elders, and developed close relationships with a number of them. ( 2012:10 )

When Abramson rewrote the dissertation for a general audience and published his book in 2015, it got a lot of attention.  It is a beautifully written book and it provided insight into a common human experience that we surprisingly know very little about.  It won the Outstanding Publication Award by the American Sociological Association Section on Aging and the Life Course and was featured in the New York Times .  The book was about aging, and specifically how inequality shapes the aging process, but it was also about much more than that.  It helped show how inequality affects people’s everyday lives.  For example, by observing the difficulties the poor had in setting up appointments and getting to them using public transportation and then being made to wait to see a doctor, sometimes in standing-room-only situations, when they are unwell, and then being treated dismissively by hospital staff, Abramson allowed readers to feel the material reality of being poor in the US.  Comparing these examples with seniors with adequate supplemental insurance who have the resources to hire car services or have others assist them in arranging care when they need it, jolts the reader to understand and appreciate the difference money makes in the lives and circumstances of us all, and in a way that is different than simply reading a statistic (“80% of the poor do not keep regular doctor’s appointments”) does.  Qualitative research can reach into spaces and places that often go unexamined and then reports back to the rest of us what it is like in those spaces and places.

Example 2: Racing for Innocence (Interviews + Content Analysis + Fictional Stories)

Jennifer Pierce is a Professor of American Studies at the University of Minnesota.  Trained as a sociologist, she has written a number of books about gender, race, and power.  Her very first book, Gender Trials: Emotional Lives in Contemporary Law Firms, published in 1995, is a brilliant look at gender dynamics within two law firms.  Pierce was a participant observer, working as a paralegal, and she observed how female lawyers and female paralegals struggled to obtain parity with their male colleagues.

Fifteen years later, she reexamined the context of the law firm to include an examination of racial dynamics, particularly how elite white men working in these spaces created and maintained a culture that made it difficult for both female attorneys and attorneys of color to thrive. Her book, Racing for Innocence: Whiteness, Gender, and the Backlash Against Affirmative Action , published in 2012, is an interesting and creative blending of interviews with attorneys, content analyses of popular films during this period, and fictional accounts of racial discrimination and sexual harassment.  The law firm she chose to study had come under an affirmative action order and was in the process of implementing equitable policies and programs.  She wanted to understand how recipients of white privilege (the elite white male attorneys) come to deny the role they play in reproducing inequality.  Through interviews with attorneys who were present both before and during the affirmative action order, she creates a historical record of the “bad behavior” that necessitated new policies and procedures, but also, and more importantly , probed the participants ’ understanding of this behavior.  It should come as no surprise that most (but not all) of the white male attorneys saw little need for change, and that almost everyone else had accounts that were different if not sometimes downright harrowing.

I’ve used Pierce’s book in my qualitative research methods courses as an example of an interesting blend of techniques and presentation styles.  My students often have a very difficult time with the fictional accounts she includes.  But they serve an important communicative purpose here.  They are her attempts at presenting “both sides” to an objective reality – something happens (Pierce writes this something so it is very clear what it is), and the two participants to the thing that happened have very different understandings of what this means.  By including these stories, Pierce presents one of her key findings – people remember things differently and these different memories tend to support their own ideological positions.  I wonder what Pierce would have written had she studied the murder of George Floyd or the storming of the US Capitol on January 6 or any number of other historic events whose observers and participants record very different happenings.

This is not to say that qualitative researchers write fictional accounts.  In fact, the use of fiction in our work remains controversial.  When used, it must be clearly identified as a presentation device, as Pierce did.  I include Racing for Innocence here as an example of the multiple uses of methods and techniques and the way that these work together to produce better understandings by us, the readers, of what Pierce studied.  We readers come away with a better grasp of how and why advantaged people understate their own involvement in situations and structures that advantage them.  This is normal human behavior , in other words.  This case may have been about elite white men in law firms, but the general insights here can be transposed to other settings.  Indeed, Pierce argues that more research needs to be done about the role elites play in the reproduction of inequality in the workplace in general.

Example 3: Amplified Advantage (Mixed Methods: Survey Interviews + Focus Groups + Archives)

The final example comes from my own work with college students, particularly the ways in which class background affects the experience of college and outcomes for graduates.  I include it here as an example of mixed methods, and for the use of supplementary archival research.  I’ve done a lot of research over the years on first-generation, low-income, and working-class college students.  I am curious (and skeptical) about the possibility of social mobility today, particularly with the rising cost of college and growing inequality in general.  As one of the few people in my family to go to college, I didn’t grow up with a lot of examples of what college was like or how to make the most of it.  And when I entered graduate school, I realized with dismay that there were very few people like me there.  I worried about becoming too different from my family and friends back home.  And I wasn’t at all sure that I would ever be able to pay back the huge load of debt I was taking on.  And so I wrote my dissertation and first two books about working-class college students.  These books focused on experiences in college and the difficulties of navigating between family and school ( Hurst 2010a, 2012 ).  But even after all that research, I kept coming back to wondering if working-class students who made it through college had an equal chance at finding good jobs and happy lives,

What happens to students after college?  Do working-class students fare as well as their peers?  I knew from my own experience that barriers continued through graduate school and beyond, and that my debtload was higher than that of my peers, constraining some of the choices I made when I graduated.  To answer these questions, I designed a study of students attending small liberal arts colleges, the type of college that tried to equalize the experience of students by requiring all students to live on campus and offering small classes with lots of interaction with faculty.  These private colleges tend to have more money and resources so they can provide financial aid to low-income students.  They also attract some very wealthy students.  Because they enroll students across the class spectrum, I would be able to draw comparisons.  I ended up spending about four years collecting data, both a survey of more than 2000 students (which formed the basis for quantitative analyses) and qualitative data collection (interviews, focus groups, archival research, and participant observation).  This is what we call a “mixed methods” approach because we use both quantitative and qualitative data.  The survey gave me a large enough number of students that I could make comparisons of the how many kind, and to be able to say with some authority that there were in fact significant differences in experience and outcome by class (e.g., wealthier students earned more money and had little debt; working-class students often found jobs that were not in their chosen careers and were very affected by debt, upper-middle-class students were more likely to go to graduate school).  But the survey analyses could not explain why these differences existed.  For that, I needed to talk to people and ask them about their motivations and aspirations.  I needed to understand their perceptions of the world, and it is very hard to do this through a survey.

By interviewing students and recent graduates, I was able to discern particular patterns and pathways through college and beyond.  Specifically, I identified three versions of gameplay.  Upper-middle-class students, whose parents were themselves professionals (academics, lawyers, managers of non-profits), saw college as the first stage of their education and took classes and declared majors that would prepare them for graduate school.  They also spent a lot of time building their resumes, taking advantage of opportunities to help professors with their research, or study abroad.  This helped them gain admission to highly-ranked graduate schools and interesting jobs in the public sector.  In contrast, upper-class students, whose parents were wealthy and more likely to be engaged in business (as CEOs or other high-level directors), prioritized building social capital.  They did this by joining fraternities and sororities and playing club sports.  This helped them when they graduated as they called on friends and parents of friends to find them well-paying jobs.  Finally, low-income, first-generation, and working-class students were often adrift.  They took the classes that were recommended to them but without the knowledge of how to connect them to life beyond college.  They spent time working and studying rather than partying or building their resumes.  All three sets of students thought they were “doing college” the right way, the way that one was supposed to do college.   But these three versions of gameplay led to distinct outcomes that advantaged some students over others.  I titled my work “Amplified Advantage” to highlight this process.

These three examples, Cory Abramson’s The End Game , Jennifer Peirce’s Racing for Innocence, and my own Amplified Advantage, demonstrate the range of approaches and tools available to the qualitative researcher.  They also help explain why qualitative research is so important.  Numbers can tell us some things about the world, but they cannot get at the hearts and minds, motivations and beliefs of the people who make up the social worlds we inhabit.  For that, we need tools that allow us to listen and make sense of what people tell us and show us.  That is what good qualitative research offers us.

How Is This Book Organized?

This textbook is organized as a comprehensive introduction to the use of qualitative research methods.  The first half covers general topics (e.g., approaches to qualitative research, ethics) and research design (necessary steps for building a successful qualitative research study).  The second half reviews various data collection and data analysis techniques.  Of course, building a successful qualitative research study requires some knowledge of data collection and data analysis so the chapters in the first half and the chapters in the second half should be read in conversation with each other.  That said, each chapter can be read on its own for assistance with a particular narrow topic.  In addition to the chapters, a helpful glossary can be found in the back of the book.  Rummage around in the text as needed.

Chapter Descriptions

Chapter 2 provides an overview of the Research Design Process.  How does one begin a study? What is an appropriate research question?  How is the study to be done – with what methods ?  Involving what people and sites?  Although qualitative research studies can and often do change and develop over the course of data collection, it is important to have a good idea of what the aims and goals of your study are at the outset and a good plan of how to achieve those aims and goals.  Chapter 2 provides a road map of the process.

Chapter 3 describes and explains various ways of knowing the (social) world.  What is it possible for us to know about how other people think or why they behave the way they do?  What does it mean to say something is a “fact” or that it is “well-known” and understood?  Qualitative researchers are particularly interested in these questions because of the types of research questions we are interested in answering (the how questions rather than the how many questions of quantitative research).  Qualitative researchers have adopted various epistemological approaches.  Chapter 3 will explore these approaches, highlighting interpretivist approaches that acknowledge the subjective aspect of reality – in other words, reality and knowledge are not objective but rather influenced by (interpreted through) people.

Chapter 4 focuses on the practical matter of developing a research question and finding the right approach to data collection.  In any given study (think of Cory Abramson’s study of aging, for example), there may be years of collected data, thousands of observations , hundreds of pages of notes to read and review and make sense of.  If all you had was a general interest area (“aging”), it would be very difficult, nearly impossible, to make sense of all of that data.  The research question provides a helpful lens to refine and clarify (and simplify) everything you find and collect.  For that reason, it is important to pull out that lens (articulate the research question) before you get started.  In the case of the aging study, Cory Abramson was interested in how inequalities affected understandings and responses to aging.  It is for this reason he designed a study that would allow him to compare different groups of seniors (some middle-class, some poor).  Inevitably, he saw much more in the three years in the field than what made it into his book (or dissertation), but he was able to narrow down the complexity of the social world to provide us with this rich account linked to the original research question.  Developing a good research question is thus crucial to effective design and a successful outcome.  Chapter 4 will provide pointers on how to do this.  Chapter 4 also provides an overview of general approaches taken to doing qualitative research and various “traditions of inquiry.”

Chapter 5 explores sampling .  After you have developed a research question and have a general idea of how you will collect data (Observations?  Interviews?), how do you go about actually finding people and sites to study?  Although there is no “correct number” of people to interview , the sample should follow the research question and research design.  Unlike quantitative research, qualitative research involves nonprobability sampling.  Chapter 5 explains why this is so and what qualities instead make a good sample for qualitative research.

Chapter 6 addresses the importance of reflexivity in qualitative research.  Related to epistemological issues of how we know anything about the social world, qualitative researchers understand that we the researchers can never be truly neutral or outside the study we are conducting.  As observers, we see things that make sense to us and may entirely miss what is either too obvious to note or too different to comprehend.  As interviewers, as much as we would like to ask questions neutrally and remain in the background, interviews are a form of conversation, and the persons we interview are responding to us .  Therefore, it is important to reflect upon our social positions and the knowledges and expectations we bring to our work and to work through any blind spots that we may have.  Chapter 6 provides some examples of reflexivity in practice and exercises for thinking through one’s own biases.

Chapter 7 is a very important chapter and should not be overlooked.  As a practical matter, it should also be read closely with chapters 6 and 8.  Because qualitative researchers deal with people and the social world, it is imperative they develop and adhere to a strong ethical code for conducting research in a way that does not harm.  There are legal requirements and guidelines for doing so (see chapter 8), but these requirements should not be considered synonymous with the ethical code required of us.   Each researcher must constantly interrogate every aspect of their research, from research question to design to sample through analysis and presentation, to ensure that a minimum of harm (ideally, zero harm) is caused.  Because each research project is unique, the standards of care for each study are unique.  Part of being a professional researcher is carrying this code in one’s heart, being constantly attentive to what is required under particular circumstances.  Chapter 7 provides various research scenarios and asks readers to weigh in on the suitability and appropriateness of the research.  If done in a class setting, it will become obvious fairly quickly that there are often no absolutely correct answers, as different people find different aspects of the scenarios of greatest importance.  Minimizing the harm in one area may require possible harm in another.  Being attentive to all the ethical aspects of one’s research and making the best judgments one can, clearly and consciously, is an integral part of being a good researcher.

Chapter 8 , best to be read in conjunction with chapter 7, explains the role and importance of Institutional Review Boards (IRBs) .  Under federal guidelines, an IRB is an appropriately constituted group that has been formally designated to review and monitor research involving human subjects .  Every institution that receives funding from the federal government has an IRB.  IRBs have the authority to approve, require modifications to (to secure approval), or disapprove research.  This group review serves an important role in the protection of the rights and welfare of human research subjects.  Chapter 8 reviews the history of IRBs and the work they do but also argues that IRBs’ review of qualitative research is often both over-inclusive and under-inclusive.  Some aspects of qualitative research are not well understood by IRBs, given that they were developed to prevent abuses in biomedical research.  Thus, it is important not to rely on IRBs to identify all the potential ethical issues that emerge in our research (see chapter 7).

Chapter 9 provides help for getting started on formulating a research question based on gaps in the pre-existing literature.  Research is conducted as part of a community, even if particular studies are done by single individuals (or small teams).  What any of us finds and reports back becomes part of a much larger body of knowledge.  Thus, it is important that we look at the larger body of knowledge before we actually start our bit to see how we can best contribute.  When I first began interviewing working-class college students, there was only one other similar study I could find, and it hadn’t been published (it was a dissertation of students from poor backgrounds).  But there had been a lot published by professors who had grown up working class and made it through college despite the odds.  These accounts by “working-class academics” became an important inspiration for my study and helped me frame the questions I asked the students I interviewed.  Chapter 9 will provide some pointers on how to search for relevant literature and how to use this to refine your research question.

Chapter 10 serves as a bridge between the two parts of the textbook, by introducing techniques of data collection.  Qualitative research is often characterized by the form of data collection – for example, an ethnographic study is one that employs primarily observational data collection for the purpose of documenting and presenting a particular culture or ethnos.  Techniques can be effectively combined, depending on the research question and the aims and goals of the study.   Chapter 10 provides a general overview of all the various techniques and how they can be combined.

The second part of the textbook moves into the doing part of qualitative research once the research question has been articulated and the study designed.  Chapters 11 through 17 cover various data collection techniques and approaches.  Chapters 18 and 19 provide a very simple overview of basic data analysis.  Chapter 20 covers communication of the data to various audiences, and in various formats.

Chapter 11 begins our overview of data collection techniques with a focus on interviewing , the true heart of qualitative research.  This technique can serve as the primary and exclusive form of data collection, or it can be used to supplement other forms (observation, archival).  An interview is distinct from a survey, where questions are asked in a specific order and often with a range of predetermined responses available.  Interviews can be conversational and unstructured or, more conventionally, semistructured , where a general set of interview questions “guides” the conversation.  Chapter 11 covers the basics of interviews: how to create interview guides, how many people to interview, where to conduct the interview, what to watch out for (how to prepare against things going wrong), and how to get the most out of your interviews.

Chapter 12 covers an important variant of interviewing, the focus group.  Focus groups are semistructured interviews with a group of people moderated by a facilitator (the researcher or researcher’s assistant).  Focus groups explicitly use group interaction to assist in the data collection.  They are best used to collect data on a specific topic that is non-personal and shared among the group.  For example, asking a group of college students about a common experience such as taking classes by remote delivery during the pandemic year of 2020.  Chapter 12 covers the basics of focus groups: when to use them, how to create interview guides for them, and how to run them effectively.

Chapter 13 moves away from interviewing to the second major form of data collection unique to qualitative researchers – observation .  Qualitative research that employs observation can best be understood as falling on a continuum of “fly on the wall” observation (e.g., observing how strangers interact in a doctor’s waiting room) to “participant” observation, where the researcher is also an active participant of the activity being observed.  For example, an activist in the Black Lives Matter movement might want to study the movement, using her inside position to gain access to observe key meetings and interactions.  Chapter  13 covers the basics of participant observation studies: advantages and disadvantages, gaining access, ethical concerns related to insider/outsider status and entanglement, and recording techniques.

Chapter 14 takes a closer look at “deep ethnography” – immersion in the field of a particularly long duration for the purpose of gaining a deeper understanding and appreciation of a particular culture or social world.  Clifford Geertz called this “deep hanging out.”  Whereas participant observation is often combined with semistructured interview techniques, deep ethnography’s commitment to “living the life” or experiencing the situation as it really is demands more conversational and natural interactions with people.  These interactions and conversations may take place over months or even years.  As can be expected, there are some costs to this technique, as well as some very large rewards when done competently.  Chapter 14 provides some examples of deep ethnographies that will inspire some beginning researchers and intimidate others.

Chapter 15 moves in the opposite direction of deep ethnography, a technique that is the least positivist of all those discussed here, to mixed methods , a set of techniques that is arguably the most positivist .  A mixed methods approach combines both qualitative data collection and quantitative data collection, commonly by combining a survey that is analyzed statistically (e.g., cross-tabs or regression analyses of large number probability samples) with semi-structured interviews.  Although it is somewhat unconventional to discuss mixed methods in textbooks on qualitative research, I think it is important to recognize this often-employed approach here.  There are several advantages and some disadvantages to taking this route.  Chapter 16 will describe those advantages and disadvantages and provide some particular guidance on how to design a mixed methods study for maximum effectiveness.

Chapter 16 covers data collection that does not involve live human subjects at all – archival and historical research (chapter 17 will also cover data that does not involve interacting with human subjects).  Sometimes people are unavailable to us, either because they do not wish to be interviewed or observed (as is the case with many “elites”) or because they are too far away, in both place and time.  Fortunately, humans leave many traces and we can often answer questions we have by examining those traces.  Special collections and archives can be goldmines for social science research.  This chapter will explain how to access these places, for what purposes, and how to begin to make sense of what you find.

Chapter 17 covers another data collection area that does not involve face-to-face interaction with humans: content analysis .  Although content analysis may be understood more properly as a data analysis technique, the term is often used for the entire approach, which will be the case here.  Content analysis involves interpreting meaning from a body of text.  This body of text might be something found in historical records (see chapter 16) or something collected by the researcher, as in the case of comment posts on a popular blog post.  I once used the stories told by student loan debtors on the website studentloanjustice.org as the content I analyzed.  Content analysis is particularly useful when attempting to define and understand prevalent stories or communication about a topic of interest.  In other words, when we are less interested in what particular people (our defined sample) are doing or believing and more interested in what general narratives exist about a particular topic or issue.  This chapter will explore different approaches to content analysis and provide helpful tips on how to collect data, how to turn that data into codes for analysis, and how to go about presenting what is found through analysis.

Where chapter 17 has pushed us towards data analysis, chapters 18 and 19 are all about what to do with the data collected, whether that data be in the form of interview transcripts or fieldnotes from observations.  Chapter 18 introduces the basics of coding , the iterative process of assigning meaning to the data in order to both simplify and identify patterns.  What is a code and how does it work?  What are the different ways of coding data, and when should you use them?  What is a codebook, and why do you need one?  What does the process of data analysis look like?

Chapter 19 goes further into detail on codes and how to use them, particularly the later stages of coding in which our codes are refined, simplified, combined, and organized.  These later rounds of coding are essential to getting the most out of the data we’ve collected.  As students are often overwhelmed with the amount of data (a corpus of interview transcripts typically runs into the hundreds of pages; fieldnotes can easily top that), this chapter will also address time management and provide suggestions for dealing with chaos and reminders that feeling overwhelmed at the analysis stage is part of the process.  By the end of the chapter, you should understand how “findings” are actually found.

The book concludes with a chapter dedicated to the effective presentation of data results.  Chapter 20 covers the many ways that researchers communicate their studies to various audiences (academic, personal, political), what elements must be included in these various publications, and the hallmarks of excellent qualitative research that various audiences will be expecting.  Because qualitative researchers are motivated by understanding and conveying meaning , effective communication is not only an essential skill but a fundamental facet of the entire research project.  Ethnographers must be able to convey a certain sense of verisimilitude , the appearance of true reality.  Those employing interviews must faithfully depict the key meanings of the people they interviewed in a way that rings true to those people, even if the end result surprises them.  And all researchers must strive for clarity in their publications so that various audiences can understand what was found and why it is important.

The book concludes with a short chapter ( chapter 21 ) discussing the value of qualitative research. At the very end of this book, you will find a glossary of terms. I recommend you make frequent use of the glossary and add to each entry as you find examples. Although the entries are meant to be simple and clear, you may also want to paraphrase the definition—make it “make sense” to you, in other words. In addition to the standard reference list (all works cited here), you will find various recommendations for further reading at the end of many chapters. Some of these recommendations will be examples of excellent qualitative research, indicated with an asterisk (*) at the end of the entry. As they say, a picture is worth a thousand words. A good example of qualitative research can teach you more about conducting research than any textbook can (this one included). I highly recommend you select one to three examples from these lists and read them along with the textbook.

A final note on the choice of examples – you will note that many of the examples used in the text come from research on college students.  This is for two reasons.  First, as most of my research falls in this area, I am most familiar with this literature and have contacts with those who do research here and can call upon them to share their stories with you.  Second, and more importantly, my hope is that this textbook reaches a wide audience of beginning researchers who study widely and deeply across the range of what can be known about the social world (from marine resources management to public policy to nursing to political science to sexuality studies and beyond).  It is sometimes difficult to find examples that speak to all those research interests, however. A focus on college students is something that all readers can understand and, hopefully, appreciate, as we are all now or have been at some point a college student.

Recommended Reading: Other Qualitative Research Textbooks

I’ve included a brief list of some of my favorite qualitative research textbooks and guidebooks if you need more than what you will find in this introductory text.  For each, I’ve also indicated if these are for “beginning” or “advanced” (graduate-level) readers.  Many of these books have several editions that do not significantly vary; the edition recommended is merely the edition I have used in teaching and to whose page numbers any specific references made in the text agree.

Barbour, Rosaline. 2014. Introducing Qualitative Research: A Student’s Guide. Thousand Oaks, CA: SAGE.  A good introduction to qualitative research, with abundant examples (often from the discipline of health care) and clear definitions.  Includes quick summaries at the ends of each chapter.  However, some US students might find the British context distracting and can be a bit advanced in some places.  Beginning .

Bloomberg, Linda Dale, and Marie F. Volpe. 2012. Completing Your Qualitative Dissertation . 2nd ed. Thousand Oaks, CA: SAGE.  Specifically designed to guide graduate students through the research process. Advanced .

Creswell, John W., and Cheryl Poth. 2018 Qualitative Inquiry and Research Design: Choosing among Five Traditions .  4th ed. Thousand Oaks, CA: SAGE.  This is a classic and one of the go-to books I used myself as a graduate student.  One of the best things about this text is its clear presentation of five distinct traditions in qualitative research.  Despite the title, this reasonably sized book is about more than research design, including both data analysis and how to write about qualitative research.  Advanced .

Lareau, Annette. 2021. Listening to People: A Practical Guide to Interviewing, Participant Observation, Data Analysis, and Writing It All Up .  Chicago: University of Chicago Press. A readable and personal account of conducting qualitative research by an eminent sociologist, with a heavy emphasis on the kinds of participant-observation research conducted by the author.  Despite its reader-friendliness, this is really a book targeted to graduate students learning the craft.  Advanced .

Lune, Howard, and Bruce L. Berg. 2018. 9th edition.  Qualitative Research Methods for the Social Sciences.  Pearson . Although a good introduction to qualitative methods, the authors favor symbolic interactionist and dramaturgical approaches, which limits the appeal primarily to sociologists.  Beginning .

Marshall, Catherine, and Gretchen B. Rossman. 2016. 6th edition. Designing Qualitative Research. Thousand Oaks, CA: SAGE.  Very readable and accessible guide to research design by two educational scholars.  Although the presentation is sometimes fairly dry, personal vignettes and illustrations enliven the text.  Beginning .

Maxwell, Joseph A. 2013. Qualitative Research Design: An Interactive Approach .  3rd ed. Thousand Oaks, CA: SAGE. A short and accessible introduction to qualitative research design, particularly helpful for graduate students contemplating theses and dissertations. This has been a standard textbook in my graduate-level courses for years.  Advanced .

Patton, Michael Quinn. 2002. Qualitative Research and Evaluation Methods . Thousand Oaks, CA: SAGE.  This is a comprehensive text that served as my “go-to” reference when I was a graduate student.  It is particularly helpful for those involved in program evaluation and other forms of evaluation studies and uses examples from a wide range of disciplines.  Advanced .

Rubin, Ashley T. 2021. Rocking Qualitative Social Science: An Irreverent Guide to Rigorous Research. Stanford : Stanford University Press.  A delightful and personal read.  Rubin uses rock climbing as an extended metaphor for learning how to conduct qualitative research.  A bit slanted toward ethnographic and archival methods of data collection, with frequent examples from her own studies in criminology. Beginning .

Weis, Lois, and Michelle Fine. 2000. Speed Bumps: A Student-Friendly Guide to Qualitative Research . New York: Teachers College Press.  Readable and accessibly written in a quasi-conversational style.  Particularly strong in its discussion of ethical issues throughout the qualitative research process.  Not comprehensive, however, and very much tied to ethnographic research.  Although designed for graduate students, this is a recommended read for students of all levels.  Beginning .

Patton’s Ten Suggestions for Doing Qualitative Research

The following ten suggestions were made by Michael Quinn Patton in his massive textbooks Qualitative Research and Evaluations Methods . This book is highly recommended for those of you who want more than an introduction to qualitative methods. It is the book I relied on heavily when I was a graduate student, although it is much easier to “dip into” when necessary than to read through as a whole. Patton is asked for “just one bit of advice” for a graduate student considering using qualitative research methods for their dissertation.  Here are his top ten responses, in short form, heavily paraphrased, and with additional comments and emphases from me:

  • Make sure that a qualitative approach fits the research question. The following are the kinds of questions that call out for qualitative methods or where qualitative methods are particularly appropriate: questions about people’s experiences or how they make sense of those experiences; studying a person in their natural environment; researching a phenomenon so unknown that it would be impossible to study it with standardized instruments or other forms of quantitative data collection.
  • Study qualitative research by going to the original sources for the design and analysis appropriate to the particular approach you want to take (e.g., read Glaser and Straus if you are using grounded theory )
  • Find a dissertation adviser who understands or at least who will support your use of qualitative research methods. You are asking for trouble if your entire committee is populated by quantitative researchers, even if they are all very knowledgeable about the subject or focus of your study (maybe even more so if they are!)
  • Really work on design. Doing qualitative research effectively takes a lot of planning.  Even if things are more flexible than in quantitative research, a good design is absolutely essential when starting out.
  • Practice data collection techniques, particularly interviewing and observing. There is definitely a set of learned skills here!  Do not expect your first interview to be perfect.  You will continue to grow as a researcher the more interviews you conduct, and you will probably come to understand yourself a bit more in the process, too.  This is not easy, despite what others who don’t work with qualitative methods may assume (and tell you!)
  • Have a plan for analysis before you begin data collection. This is often a requirement in IRB protocols , although you can get away with writing something fairly simple.  And even if you are taking an approach, such as grounded theory, that pushes you to remain fairly open-minded during the data collection process, you still want to know what you will be doing with all the data collected – creating a codebook? Writing analytical memos? Comparing cases?  Having a plan in hand will also help prevent you from collecting too much extraneous data.
  • Be prepared to confront controversies both within the qualitative research community and between qualitative research and quantitative research. Don’t be naïve about this – qualitative research, particularly some approaches, will be derided by many more “positivist” researchers and audiences.  For example, is an “n” of 1 really sufficient?  Yes!  But not everyone will agree.
  • Do not make the mistake of using qualitative research methods because someone told you it was easier, or because you are intimidated by the math required of statistical analyses. Qualitative research is difficult in its own way (and many would claim much more time-consuming than quantitative research).  Do it because you are convinced it is right for your goals, aims, and research questions.
  • Find a good support network. This could be a research mentor, or it could be a group of friends or colleagues who are also using qualitative research, or it could be just someone who will listen to you work through all of the issues you will confront out in the field and during the writing process.  Even though qualitative research often involves human subjects, it can be pretty lonely.  A lot of times you will feel like you are working without a net.  You have to create one for yourself.  Take care of yourself.
  • And, finally, in the words of Patton, “Prepare to be changed. Looking deeply at other people’s lives will force you to look deeply at yourself.”
  • We will actually spend an entire chapter ( chapter 3 ) looking at this question in much more detail! ↵
  • Note that this might have been news to Europeans at the time, but many other societies around the world had also come to this conclusion through observation.  There is often a tendency to equate “the scientific revolution” with the European world in which it took place, but this is somewhat misleading. ↵
  • Historians are a special case here.  Historians have scrupulously and rigorously investigated the social world, but not for the purpose of understanding general laws about how things work, which is the point of scientific empirical research.  History is often referred to as an idiographic field of study, meaning that it studies things that happened or are happening in themselves and not for general observations or conclusions. ↵
  • Don’t worry, we’ll spend more time later in this book unpacking the meaning of ethnography and other terms that are important here.  Note the available glossary ↵

An approach to research that is “multimethod in focus, involving an interpretative, naturalistic approach to its subject matter.  This means that qualitative researchers study things in their natural settings, attempting to make sense of, or interpret, phenomena in terms of the meanings people bring to them.  Qualitative research involves the studied use and collection of a variety of empirical materials – case study, personal experience, introspective, life story, interview, observational, historical, interactional, and visual texts – that describe routine and problematic moments and meanings in individuals’ lives." ( Denzin and Lincoln 2005:2 ). Contrast with quantitative research .

In contrast to methodology, methods are more simply the practices and tools used to collect and analyze data.  Examples of common methods in qualitative research are interviews , observations , and documentary analysis .  One’s methodology should connect to one’s choice of methods, of course, but they are distinguishable terms.  See also methodology .

A proposed explanation for an observation, phenomenon, or scientific problem that can be tested by further investigation.  The positing of a hypothesis is often the first step in quantitative research but not in qualitative research.  Even when qualitative researchers offer possible explanations in advance of conducting research, they will tend to not use the word “hypothesis” as it conjures up the kind of positivist research they are not conducting.

The foundational question to be addressed by the research study.  This will form the anchor of the research design, collection, and analysis.  Note that in qualitative research, the research question may, and probably will, alter or develop during the course of the research.

An approach to research that collects and analyzes numerical data for the purpose of finding patterns and averages, making predictions, testing causal relationships, and generalizing results to wider populations.  Contrast with qualitative research .

Data collection that takes place in real-world settings, referred to as “the field;” a key component of much Grounded Theory and ethnographic research.  Patton ( 2002 ) calls fieldwork “the central activity of qualitative inquiry” where “‘going into the field’ means having direct and personal contact with people under study in their own environments – getting close to people and situations being studied to personally understand the realities of minutiae of daily life” (48).

The people who are the subjects of a qualitative study.  In interview-based studies, they may be the respondents to the interviewer; for purposes of IRBs, they are often referred to as the human subjects of the research.

The branch of philosophy concerned with knowledge.  For researchers, it is important to recognize and adopt one of the many distinguishing epistemological perspectives as part of our understanding of what questions research can address or fully answer.  See, e.g., constructivism , subjectivism, and  objectivism .

An approach that refutes the possibility of neutrality in social science research.  All research is “guided by a set of beliefs and feelings about the world and how it should be understood and studied” (Denzin and Lincoln 2005: 13).  In contrast to positivism , interpretivism recognizes the social constructedness of reality, and researchers adopting this approach focus on capturing interpretations and understandings people have about the world rather than “the world” as it is (which is a chimera).

The cluster of data-collection tools and techniques that involve observing interactions between people, the behaviors, and practices of individuals (sometimes in contrast to what they say about how they act and behave), and cultures in context.  Observational methods are the key tools employed by ethnographers and Grounded Theory .

Research based on data collected and analyzed by the research (in contrast to secondary “library” research).

The process of selecting people or other units of analysis to represent a larger population. In quantitative research, this representation is taken quite literally, as statistically representative.  In qualitative research, in contrast, sample selection is often made based on potential to generate insight about a particular topic or phenomenon.

A method of data collection in which the researcher asks the participant questions; the answers to these questions are often recorded and transcribed verbatim. There are many different kinds of interviews - see also semistructured interview , structured interview , and unstructured interview .

The specific group of individuals that you will collect data from.  Contrast population.

The practice of being conscious of and reflective upon one’s own social location and presence when conducting research.  Because qualitative research often requires interaction with live humans, failing to take into account how one’s presence and prior expectations and social location affect the data collected and how analyzed may limit the reliability of the findings.  This remains true even when dealing with historical archives and other content.  Who we are matters when asking questions about how people experience the world because we, too, are a part of that world.

The science and practice of right conduct; in research, it is also the delineation of moral obligations towards research participants, communities to which we belong, and communities in which we conduct our research.

An administrative body established to protect the rights and welfare of human research subjects recruited to participate in research activities conducted under the auspices of the institution with which it is affiliated. The IRB is charged with the responsibility of reviewing all research involving human participants. The IRB is concerned with protecting the welfare, rights, and privacy of human subjects. The IRB has the authority to approve, disapprove, monitor, and require modifications in all research activities that fall within its jurisdiction as specified by both the federal regulations and institutional policy.

Research, according to US federal guidelines, that involves “a living individual about whom an investigator (whether professional or student) conducting research:  (1) Obtains information or biospecimens through intervention or interaction with the individual, and uses, studies, or analyzes the information or biospecimens; or  (2) Obtains, uses, studies, analyzes, or generates identifiable private information or identifiable biospecimens.”

One of the primary methodological traditions of inquiry in qualitative research, ethnography is the study of a group or group culture, largely through observational fieldwork supplemented by interviews. It is a form of fieldwork that may include participant-observation data collection. See chapter 14 for a discussion of deep ethnography. 

A form of interview that follows a standard guide of questions asked, although the order of the questions may change to match the particular needs of each individual interview subject, and probing “follow-up” questions are often added during the course of the interview.  The semi-structured interview is the primary form of interviewing used by qualitative researchers in the social sciences.  It is sometimes referred to as an “in-depth” interview.  See also interview and  interview guide .

A method of observational data collection taking place in a natural setting; a form of fieldwork .  The term encompasses a continuum of relative participation by the researcher (from full participant to “fly-on-the-wall” observer).  This is also sometimes referred to as ethnography , although the latter is characterized by a greater focus on the culture under observation.

A research design that employs both quantitative and qualitative methods, as in the case of a survey supplemented by interviews.

An epistemological perspective that posits the existence of reality through sensory experience similar to empiricism but goes further in denying any non-sensory basis of thought or consciousness.  In the social sciences, the term has roots in the proto-sociologist August Comte, who believed he could discern “laws” of society similar to the laws of natural science (e.g., gravity).  The term has come to mean the kinds of measurable and verifiable science conducted by quantitative researchers and is thus used pejoratively by some qualitative researchers interested in interpretation, consciousness, and human understanding.  Calling someone a “positivist” is often intended as an insult.  See also empiricism and objectivism.

A place or collection containing records, documents, or other materials of historical interest; most universities have an archive of material related to the university’s history, as well as other “special collections” that may be of interest to members of the community.

A method of both data collection and data analysis in which a given content (textual, visual, graphic) is examined systematically and rigorously to identify meanings, themes, patterns and assumptions.  Qualitative content analysis (QCA) is concerned with gathering and interpreting an existing body of material.    

A word or short phrase that symbolically assigns a summative, salient, essence-capturing, and/or evocative attribute for a portion of language-based or visual data (Saldaña 2021:5).

Usually a verbatim written record of an interview or focus group discussion.

The primary form of data for fieldwork , participant observation , and ethnography .  These notes, taken by the researcher either during the course of fieldwork or at day’s end, should include as many details as possible on what was observed and what was said.  They should include clear identifiers of date, time, setting, and names (or identifying characteristics) of participants.

The process of labeling and organizing qualitative data to identify different themes and the relationships between them; a way of simplifying data to allow better management and retrieval of key themes and illustrative passages.  See coding frame and  codebook.

A methodological tradition of inquiry and approach to analyzing qualitative data in which theories emerge from a rigorous and systematic process of induction.  This approach was pioneered by the sociologists Glaser and Strauss (1967).  The elements of theory generated from comparative analysis of data are, first, conceptual categories and their properties and, second, hypotheses or generalized relations among the categories and their properties – “The constant comparing of many groups draws the [researcher’s] attention to their many similarities and differences.  Considering these leads [the researcher] to generate abstract categories and their properties, which, since they emerge from the data, will clearly be important to a theory explaining the kind of behavior under observation.” (36).

A detailed description of any proposed research that involves human subjects for review by IRB.  The protocol serves as the recipe for the conduct of the research activity.  It includes the scientific rationale to justify the conduct of the study, the information necessary to conduct the study, the plan for managing and analyzing the data, and a discussion of the research ethical issues relevant to the research.  Protocols for qualitative research often include interview guides, all documents related to recruitment, informed consent forms, very clear guidelines on the safekeeping of materials collected, and plans for de-identifying transcripts or other data that include personal identifying information.

Introduction to Qualitative Research Methods Copyright © 2023 by Allison Hurst is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License , except where otherwise noted.

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  • What Is Qualitative Research? | Methods & Examples

What Is Qualitative Research? | Methods & Examples

Published on 4 April 2022 by Pritha Bhandari . Revised on 30 January 2023.

Qualitative research involves collecting and analysing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.

Qualitative research is the opposite of quantitative research , which involves collecting and analysing numerical data for statistical analysis.

Qualitative research is commonly used in the humanities and social sciences, in subjects such as anthropology, sociology, education, health sciences, and history.

  • How does social media shape body image in teenagers?
  • How do children and adults interpret healthy eating in the UK?
  • What factors influence employee retention in a large organisation?
  • How is anxiety experienced around the world?
  • How can teachers integrate social issues into science curriculums?

Table of contents

Approaches to qualitative research, qualitative research methods, qualitative data analysis, advantages of qualitative research, disadvantages of qualitative research, frequently asked questions about qualitative research.

Qualitative research is used to understand how people experience the world. While there are many approaches to qualitative research, they tend to be flexible and focus on retaining rich meaning when interpreting data.

Common approaches include grounded theory, ethnography, action research, phenomenological research, and narrative research. They share some similarities, but emphasise different aims and perspectives.

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Each of the research approaches involve using one or more data collection methods . These are some of the most common qualitative methods:

  • Observations: recording what you have seen, heard, or encountered in detailed field notes.
  • Interviews:  personally asking people questions in one-on-one conversations.
  • Focus groups: asking questions and generating discussion among a group of people.
  • Surveys : distributing questionnaires with open-ended questions.
  • Secondary research: collecting existing data in the form of texts, images, audio or video recordings, etc.
  • You take field notes with observations and reflect on your own experiences of the company culture.
  • You distribute open-ended surveys to employees across all the company’s offices by email to find out if the culture varies across locations.
  • You conduct in-depth interviews with employees in your office to learn about their experiences and perspectives in greater detail.

Qualitative researchers often consider themselves ‘instruments’ in research because all observations, interpretations and analyses are filtered through their own personal lens.

For this reason, when writing up your methodology for qualitative research, it’s important to reflect on your approach and to thoroughly explain the choices you made in collecting and analysing the data.

Qualitative data can take the form of texts, photos, videos and audio. For example, you might be working with interview transcripts, survey responses, fieldnotes, or recordings from natural settings.

Most types of qualitative data analysis share the same five steps:

  • Prepare and organise your data. This may mean transcribing interviews or typing up fieldnotes.
  • Review and explore your data. Examine the data for patterns or repeated ideas that emerge.
  • Develop a data coding system. Based on your initial ideas, establish a set of codes that you can apply to categorise your data.
  • Assign codes to the data. For example, in qualitative survey analysis, this may mean going through each participant’s responses and tagging them with codes in a spreadsheet. As you go through your data, you can create new codes to add to your system if necessary.
  • Identify recurring themes. Link codes together into cohesive, overarching themes.

There are several specific approaches to analysing qualitative data. Although these methods share similar processes, they emphasise different concepts.

Qualitative research often tries to preserve the voice and perspective of participants and can be adjusted as new research questions arise. Qualitative research is good for:

  • Flexibility

The data collection and analysis process can be adapted as new ideas or patterns emerge. They are not rigidly decided beforehand.

  • Natural settings

Data collection occurs in real-world contexts or in naturalistic ways.

  • Meaningful insights

Detailed descriptions of people’s experiences, feelings and perceptions can be used in designing, testing or improving systems or products.

  • Generation of new ideas

Open-ended responses mean that researchers can uncover novel problems or opportunities that they wouldn’t have thought of otherwise.

Researchers must consider practical and theoretical limitations in analysing and interpreting their data. Qualitative research suffers from:

  • Unreliability

The real-world setting often makes qualitative research unreliable because of uncontrolled factors that affect the data.

  • Subjectivity

Due to the researcher’s primary role in analysing and interpreting data, qualitative research cannot be replicated . The researcher decides what is important and what is irrelevant in data analysis, so interpretations of the same data can vary greatly.

  • Limited generalisability

Small samples are often used to gather detailed data about specific contexts. Despite rigorous analysis procedures, it is difficult to draw generalisable conclusions because the data may be biased and unrepresentative of the wider population .

  • Labour-intensive

Although software can be used to manage and record large amounts of text, data analysis often has to be checked or performed manually.

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

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

There are five common approaches to qualitative research :

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

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

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

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

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

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The Oxford Handbook of Qualitative Research (2nd edn)

The Oxford Handbook of Qualitative Research (2nd edn)

The Oxford Handbook of Qualitative Research (2nd edn)

Patricia Leavy Independent Scholar Kennebunk, ME, USA

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The Oxford Handbook of Qualitative Research, second edition, presents a comprehensive retrospective and prospective review of the field of qualitative research. Original, accessible chapters written by interdisciplinary leaders in the field make this a critical reference work. Filled with robust examples from real-world research; ample discussion of the historical, theoretical, and methodological foundations of the field; and coverage of key issues including data collection, interpretation, representation, assessment, and teaching, this handbook aims to be a valuable text for students, professors, and researchers. This newly revised and expanded edition features up-to-date examples and topics, including seven new chapters on duoethnography, team research, writing ethnographically, creative approaches to writing, writing for performance, writing for the public, and teaching qualitative research.

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The Oxford Encyclopedia of Qualitative Research Methods in Education

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The Oxford Encyclopedia of Qualitative Research Methods in Education  

Edited by: george w. noblit.

The Oxford Encyclopedia of Qualitative Research Methods in Education has brought together scholars from across the globe who use qualitative methods in their research to address the history, current uses, adaptations for specific knowledge domains and situations, and problematics that drive the methodology. This is the most comprehensive resource available on qualitative methods in education. For novice researchers, the Encyclopedia enables a broad view of the methods and how to enact them in the studies that early-career researchers may wish to conduct. For the experienced researcher, the range of approaches and adaptations covered enables the development of sophisticated methodological designs. For those who are qualitative research methodologists, this book reveals where the methodology has come from and where it is going. Methodologists can use these volumes to discern where new ideas and practices are needed, and provide the bases for new methodological works. For those who teach these methods, the Encyclopedia is an invaluable compendium that can be tapped for inclusion in courses and to enable the instructor to be able to quickly respond to specific student needs with high-quality methodological resources.

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George W. Noblit is Joseph R. Neikirk Distinguished Professor of Sociology of Education (Emeritus) at the University of North Carolina at Chapel Hill. He is the recipient of lifetime achievement award (2019) and the Mentoring Award (2017) from Division G of AERA, and the Mary Ann Raywid Award from the Society of Professors of Education (2016). He is an internationally known qualitative research methodologist. He has several books on qualitative methods including: Cultural Constructions of Identity: Meta-ethnography and theory (Oxford University Press, 2018, co-edited with Luis Urrieta, Jr.); Postcritical Ethnography (Hampton Press, 2004, co-edited with Susana Y. Flores and Enrique G. Murillo, Jr.); Particularities (Peter Lang, 1999); and Meta-Ethnography (Sage, 1988, co-authored with R. Dwight Hare). He is the founding editor in chief of the Oxford Research Encyclopedia of Education.

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Criteria for Good Qualitative Research: A Comprehensive Review

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  • Published: 18 September 2021
  • Volume 31 , pages 679–689, ( 2022 )

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qualitative research in education definition

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This review aims to synthesize a published set of evaluative criteria for good qualitative research. The aim is to shed light on existing standards for assessing the rigor of qualitative research encompassing a range of epistemological and ontological standpoints. Using a systematic search strategy, published journal articles that deliberate criteria for rigorous research were identified. Then, references of relevant articles were surveyed to find noteworthy, distinct, and well-defined pointers to good qualitative research. This review presents an investigative assessment of the pivotal features in qualitative research that can permit the readers to pass judgment on its quality and to condemn it as good research when objectively and adequately utilized. Overall, this review underlines the crux of qualitative research and accentuates the necessity to evaluate such research by the very tenets of its being. It also offers some prospects and recommendations to improve the quality of qualitative research. Based on the findings of this review, it is concluded that quality criteria are the aftereffect of socio-institutional procedures and existing paradigmatic conducts. Owing to the paradigmatic diversity of qualitative research, a single and specific set of quality criteria is neither feasible nor anticipated. Since qualitative research is not a cohesive discipline, researchers need to educate and familiarize themselves with applicable norms and decisive factors to evaluate qualitative research from within its theoretical and methodological framework of origin.

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qualitative research in education definition

Good Qualitative Research: Opening up the Debate

Beyond qualitative/quantitative structuralism: the positivist qualitative research and the paradigmatic disclaimer.

qualitative research in education definition

What is Qualitative in Research

Avoid common mistakes on your manuscript.

Introduction

“… It is important to regularly dialogue about what makes for good qualitative research” (Tracy, 2010 , p. 837)

To decide what represents good qualitative research is highly debatable. There are numerous methods that are contained within qualitative research and that are established on diverse philosophical perspectives. Bryman et al., ( 2008 , p. 262) suggest that “It is widely assumed that whereas quality criteria for quantitative research are well‐known and widely agreed, this is not the case for qualitative research.” Hence, the question “how to evaluate the quality of qualitative research” has been continuously debated. There are many areas of science and technology wherein these debates on the assessment of qualitative research have taken place. Examples include various areas of psychology: general psychology (Madill et al., 2000 ); counseling psychology (Morrow, 2005 ); and clinical psychology (Barker & Pistrang, 2005 ), and other disciplines of social sciences: social policy (Bryman et al., 2008 ); health research (Sparkes, 2001 ); business and management research (Johnson et al., 2006 ); information systems (Klein & Myers, 1999 ); and environmental studies (Reid & Gough, 2000 ). In the literature, these debates are enthused by the impression that the blanket application of criteria for good qualitative research developed around the positivist paradigm is improper. Such debates are based on the wide range of philosophical backgrounds within which qualitative research is conducted (e.g., Sandberg, 2000 ; Schwandt, 1996 ). The existence of methodological diversity led to the formulation of different sets of criteria applicable to qualitative research.

Among qualitative researchers, the dilemma of governing the measures to assess the quality of research is not a new phenomenon, especially when the virtuous triad of objectivity, reliability, and validity (Spencer et al., 2004 ) are not adequate. Occasionally, the criteria of quantitative research are used to evaluate qualitative research (Cohen & Crabtree, 2008 ; Lather, 2004 ). Indeed, Howe ( 2004 ) claims that the prevailing paradigm in educational research is scientifically based experimental research. Hypotheses and conjectures about the preeminence of quantitative research can weaken the worth and usefulness of qualitative research by neglecting the prominence of harmonizing match for purpose on research paradigm, the epistemological stance of the researcher, and the choice of methodology. Researchers have been reprimanded concerning this in “paradigmatic controversies, contradictions, and emerging confluences” (Lincoln & Guba, 2000 ).

In general, qualitative research tends to come from a very different paradigmatic stance and intrinsically demands distinctive and out-of-the-ordinary criteria for evaluating good research and varieties of research contributions that can be made. This review attempts to present a series of evaluative criteria for qualitative researchers, arguing that their choice of criteria needs to be compatible with the unique nature of the research in question (its methodology, aims, and assumptions). This review aims to assist researchers in identifying some of the indispensable features or markers of high-quality qualitative research. In a nutshell, the purpose of this systematic literature review is to analyze the existing knowledge on high-quality qualitative research and to verify the existence of research studies dealing with the critical assessment of qualitative research based on the concept of diverse paradigmatic stances. Contrary to the existing reviews, this review also suggests some critical directions to follow to improve the quality of qualitative research in different epistemological and ontological perspectives. This review is also intended to provide guidelines for the acceleration of future developments and dialogues among qualitative researchers in the context of assessing the qualitative research.

The rest of this review article is structured in the following fashion: Sect.  Methods describes the method followed for performing this review. Section Criteria for Evaluating Qualitative Studies provides a comprehensive description of the criteria for evaluating qualitative studies. This section is followed by a summary of the strategies to improve the quality of qualitative research in Sect.  Improving Quality: Strategies . Section  How to Assess the Quality of the Research Findings? provides details on how to assess the quality of the research findings. After that, some of the quality checklists (as tools to evaluate quality) are discussed in Sect.  Quality Checklists: Tools for Assessing the Quality . At last, the review ends with the concluding remarks presented in Sect.  Conclusions, Future Directions and Outlook . Some prospects in qualitative research for enhancing its quality and usefulness in the social and techno-scientific research community are also presented in Sect.  Conclusions, Future Directions and Outlook .

For this review, a comprehensive literature search was performed from many databases using generic search terms such as Qualitative Research , Criteria , etc . The following databases were chosen for the literature search based on the high number of results: IEEE Explore, ScienceDirect, PubMed, Google Scholar, and Web of Science. The following keywords (and their combinations using Boolean connectives OR/AND) were adopted for the literature search: qualitative research, criteria, quality, assessment, and validity. The synonyms for these keywords were collected and arranged in a logical structure (see Table 1 ). All publications in journals and conference proceedings later than 1950 till 2021 were considered for the search. Other articles extracted from the references of the papers identified in the electronic search were also included. A large number of publications on qualitative research were retrieved during the initial screening. Hence, to include the searches with the main focus on criteria for good qualitative research, an inclusion criterion was utilized in the search string.

From the selected databases, the search retrieved a total of 765 publications. Then, the duplicate records were removed. After that, based on the title and abstract, the remaining 426 publications were screened for their relevance by using the following inclusion and exclusion criteria (see Table 2 ). Publications focusing on evaluation criteria for good qualitative research were included, whereas those works which delivered theoretical concepts on qualitative research were excluded. Based on the screening and eligibility, 45 research articles were identified that offered explicit criteria for evaluating the quality of qualitative research and were found to be relevant to this review.

Figure  1 illustrates the complete review process in the form of PRISMA flow diagram. PRISMA, i.e., “preferred reporting items for systematic reviews and meta-analyses” is employed in systematic reviews to refine the quality of reporting.

figure 1

PRISMA flow diagram illustrating the search and inclusion process. N represents the number of records

Criteria for Evaluating Qualitative Studies

Fundamental criteria: general research quality.

Various researchers have put forward criteria for evaluating qualitative research, which have been summarized in Table 3 . Also, the criteria outlined in Table 4 effectively deliver the various approaches to evaluate and assess the quality of qualitative work. The entries in Table 4 are based on Tracy’s “Eight big‐tent criteria for excellent qualitative research” (Tracy, 2010 ). Tracy argues that high-quality qualitative work should formulate criteria focusing on the worthiness, relevance, timeliness, significance, morality, and practicality of the research topic, and the ethical stance of the research itself. Researchers have also suggested a series of questions as guiding principles to assess the quality of a qualitative study (Mays & Pope, 2020 ). Nassaji ( 2020 ) argues that good qualitative research should be robust, well informed, and thoroughly documented.

Qualitative Research: Interpretive Paradigms

All qualitative researchers follow highly abstract principles which bring together beliefs about ontology, epistemology, and methodology. These beliefs govern how the researcher perceives and acts. The net, which encompasses the researcher’s epistemological, ontological, and methodological premises, is referred to as a paradigm, or an interpretive structure, a “Basic set of beliefs that guides action” (Guba, 1990 ). Four major interpretive paradigms structure the qualitative research: positivist and postpositivist, constructivist interpretive, critical (Marxist, emancipatory), and feminist poststructural. The complexity of these four abstract paradigms increases at the level of concrete, specific interpretive communities. Table 5 presents these paradigms and their assumptions, including their criteria for evaluating research, and the typical form that an interpretive or theoretical statement assumes in each paradigm. Moreover, for evaluating qualitative research, quantitative conceptualizations of reliability and validity are proven to be incompatible (Horsburgh, 2003 ). In addition, a series of questions have been put forward in the literature to assist a reviewer (who is proficient in qualitative methods) for meticulous assessment and endorsement of qualitative research (Morse, 2003 ). Hammersley ( 2007 ) also suggests that guiding principles for qualitative research are advantageous, but methodological pluralism should not be simply acknowledged for all qualitative approaches. Seale ( 1999 ) also points out the significance of methodological cognizance in research studies.

Table 5 reflects that criteria for assessing the quality of qualitative research are the aftermath of socio-institutional practices and existing paradigmatic standpoints. Owing to the paradigmatic diversity of qualitative research, a single set of quality criteria is neither possible nor desirable. Hence, the researchers must be reflexive about the criteria they use in the various roles they play within their research community.

Improving Quality: Strategies

Another critical question is “How can the qualitative researchers ensure that the abovementioned quality criteria can be met?” Lincoln and Guba ( 1986 ) delineated several strategies to intensify each criteria of trustworthiness. Other researchers (Merriam & Tisdell, 2016 ; Shenton, 2004 ) also presented such strategies. A brief description of these strategies is shown in Table 6 .

It is worth mentioning that generalizability is also an integral part of qualitative research (Hays & McKibben, 2021 ). In general, the guiding principle pertaining to generalizability speaks about inducing and comprehending knowledge to synthesize interpretive components of an underlying context. Table 7 summarizes the main metasynthesis steps required to ascertain generalizability in qualitative research.

Figure  2 reflects the crucial components of a conceptual framework and their contribution to decisions regarding research design, implementation, and applications of results to future thinking, study, and practice (Johnson et al., 2020 ). The synergy and interrelationship of these components signifies their role to different stances of a qualitative research study.

figure 2

Essential elements of a conceptual framework

In a nutshell, to assess the rationale of a study, its conceptual framework and research question(s), quality criteria must take account of the following: lucid context for the problem statement in the introduction; well-articulated research problems and questions; precise conceptual framework; distinct research purpose; and clear presentation and investigation of the paradigms. These criteria would expedite the quality of qualitative research.

How to Assess the Quality of the Research Findings?

The inclusion of quotes or similar research data enhances the confirmability in the write-up of the findings. The use of expressions (for instance, “80% of all respondents agreed that” or “only one of the interviewees mentioned that”) may also quantify qualitative findings (Stenfors et al., 2020 ). On the other hand, the persuasive reason for “why this may not help in intensifying the research” has also been provided (Monrouxe & Rees, 2020 ). Further, the Discussion and Conclusion sections of an article also prove robust markers of high-quality qualitative research, as elucidated in Table 8 .

Quality Checklists: Tools for Assessing the Quality

Numerous checklists are available to speed up the assessment of the quality of qualitative research. However, if used uncritically and recklessly concerning the research context, these checklists may be counterproductive. I recommend that such lists and guiding principles may assist in pinpointing the markers of high-quality qualitative research. However, considering enormous variations in the authors’ theoretical and philosophical contexts, I would emphasize that high dependability on such checklists may say little about whether the findings can be applied in your setting. A combination of such checklists might be appropriate for novice researchers. Some of these checklists are listed below:

The most commonly used framework is Consolidated Criteria for Reporting Qualitative Research (COREQ) (Tong et al., 2007 ). This framework is recommended by some journals to be followed by the authors during article submission.

Standards for Reporting Qualitative Research (SRQR) is another checklist that has been created particularly for medical education (O’Brien et al., 2014 ).

Also, Tracy ( 2010 ) and Critical Appraisal Skills Programme (CASP, 2021 ) offer criteria for qualitative research relevant across methods and approaches.

Further, researchers have also outlined different criteria as hallmarks of high-quality qualitative research. For instance, the “Road Trip Checklist” (Epp & Otnes, 2021 ) provides a quick reference to specific questions to address different elements of high-quality qualitative research.

Conclusions, Future Directions, and Outlook

This work presents a broad review of the criteria for good qualitative research. In addition, this article presents an exploratory analysis of the essential elements in qualitative research that can enable the readers of qualitative work to judge it as good research when objectively and adequately utilized. In this review, some of the essential markers that indicate high-quality qualitative research have been highlighted. I scope them narrowly to achieve rigor in qualitative research and note that they do not completely cover the broader considerations necessary for high-quality research. This review points out that a universal and versatile one-size-fits-all guideline for evaluating the quality of qualitative research does not exist. In other words, this review also emphasizes the non-existence of a set of common guidelines among qualitative researchers. In unison, this review reinforces that each qualitative approach should be treated uniquely on account of its own distinctive features for different epistemological and disciplinary positions. Owing to the sensitivity of the worth of qualitative research towards the specific context and the type of paradigmatic stance, researchers should themselves analyze what approaches can be and must be tailored to ensemble the distinct characteristics of the phenomenon under investigation. Although this article does not assert to put forward a magic bullet and to provide a one-stop solution for dealing with dilemmas about how, why, or whether to evaluate the “goodness” of qualitative research, it offers a platform to assist the researchers in improving their qualitative studies. This work provides an assembly of concerns to reflect on, a series of questions to ask, and multiple sets of criteria to look at, when attempting to determine the quality of qualitative research. Overall, this review underlines the crux of qualitative research and accentuates the need to evaluate such research by the very tenets of its being. Bringing together the vital arguments and delineating the requirements that good qualitative research should satisfy, this review strives to equip the researchers as well as reviewers to make well-versed judgment about the worth and significance of the qualitative research under scrutiny. In a nutshell, a comprehensive portrayal of the research process (from the context of research to the research objectives, research questions and design, speculative foundations, and from approaches of collecting data to analyzing the results, to deriving inferences) frequently proliferates the quality of a qualitative research.

Prospects : A Road Ahead for Qualitative Research

Irrefutably, qualitative research is a vivacious and evolving discipline wherein different epistemological and disciplinary positions have their own characteristics and importance. In addition, not surprisingly, owing to the sprouting and varied features of qualitative research, no consensus has been pulled off till date. Researchers have reflected various concerns and proposed several recommendations for editors and reviewers on conducting reviews of critical qualitative research (Levitt et al., 2021 ; McGinley et al., 2021 ). Following are some prospects and a few recommendations put forward towards the maturation of qualitative research and its quality evaluation:

In general, most of the manuscript and grant reviewers are not qualitative experts. Hence, it is more likely that they would prefer to adopt a broad set of criteria. However, researchers and reviewers need to keep in mind that it is inappropriate to utilize the same approaches and conducts among all qualitative research. Therefore, future work needs to focus on educating researchers and reviewers about the criteria to evaluate qualitative research from within the suitable theoretical and methodological context.

There is an urgent need to refurbish and augment critical assessment of some well-known and widely accepted tools (including checklists such as COREQ, SRQR) to interrogate their applicability on different aspects (along with their epistemological ramifications).

Efforts should be made towards creating more space for creativity, experimentation, and a dialogue between the diverse traditions of qualitative research. This would potentially help to avoid the enforcement of one's own set of quality criteria on the work carried out by others.

Moreover, journal reviewers need to be aware of various methodological practices and philosophical debates.

It is pivotal to highlight the expressions and considerations of qualitative researchers and bring them into a more open and transparent dialogue about assessing qualitative research in techno-scientific, academic, sociocultural, and political rooms.

Frequent debates on the use of evaluative criteria are required to solve some potentially resolved issues (including the applicability of a single set of criteria in multi-disciplinary aspects). Such debates would not only benefit the group of qualitative researchers themselves, but primarily assist in augmenting the well-being and vivacity of the entire discipline.

To conclude, I speculate that the criteria, and my perspective, may transfer to other methods, approaches, and contexts. I hope that they spark dialog and debate – about criteria for excellent qualitative research and the underpinnings of the discipline more broadly – and, therefore, help improve the quality of a qualitative study. Further, I anticipate that this review will assist the researchers to contemplate on the quality of their own research, to substantiate research design and help the reviewers to review qualitative research for journals. On a final note, I pinpoint the need to formulate a framework (encompassing the prerequisites of a qualitative study) by the cohesive efforts of qualitative researchers of different disciplines with different theoretic-paradigmatic origins. I believe that tailoring such a framework (of guiding principles) paves the way for qualitative researchers to consolidate the status of qualitative research in the wide-ranging open science debate. Dialogue on this issue across different approaches is crucial for the impending prospects of socio-techno-educational research.

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Yadav, D. Criteria for Good Qualitative Research: A Comprehensive Review. Asia-Pacific Edu Res 31 , 679–689 (2022). https://doi.org/10.1007/s40299-021-00619-0

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  • 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. 

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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-.

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Article contents

Feminist theory and its use in qualitative research in education.

  • Emily Freeman Emily Freeman University of North Carolina at Chapel Hill
  • https://doi.org/10.1093/acrefore/9780190264093.013.1193
  • Published online: 28 August 2019

Feminist theory rose in prominence in educational research during the 1980s and experienced a resurgence in popularity during the late 1990s−2010s. Standpoint epistemologies, intersectionality, and feminist poststructuralism are the most prevalent theories, but feminist researchers often work across feminist theoretical thought. Feminist qualitative research in education encompasses a myriad of methods and methodologies, but projects share a commitment to feminist ethics and theories. Among the commitments are the understanding that knowledge is situated in the subjectivities and lived experiences of both researcher and participants and research is deeply reflexive. Feminist theory informs both research questions and the methodology of a project in addition to serving as a foundation for analysis. The goals of feminist educational research include dismantling systems of oppression, highlighting gender-based disparities, and seeking new ways of constructing knowledge.

  • feminist theories
  • qualitative research
  • educational research
  • positionality
  • methodology

Introduction

Feminist qualitative research begins with the understanding that all knowledge is situated in the bodies and subjectivities of people, particularly women and historically marginalized groups. Donna Haraway ( 1988 ) wrote,

I am arguing for politics and epistemologies of location, position, and situating, where partiality and not universality is the condition of being heard to make rational knowledge claims. These are claims on people’s lives I’m arguing for the view from a body, always a complex, contradictory, structuring, and structured body, versus the view from above, from nowhere, from simplicity. Only the god trick is forbidden. . . . Feminism is about a critical vision consequent upon a critical positioning in unhomogeneous gendered social space. (p. 589)

By arguing that “politics and epistemologies” are always interpretive and partial, Haraway offered feminist qualitative researchers in education a way to understand all research as potentially political and always interpretive and partial. Because all humans bring their own histories, biases, and subjectivities with them to a research space or project, it is naïve to think that the written product of research could ever be considered neutral, but what does research with a strong commitment to feminism look like in the context of education?

Writing specifically about the ways researchers of both genders can use feminist ethnographic methods while conducting research on schools and schooling, Levinson ( 1998 ) stated, “I define feminist ethnography as intensive qualitative research, aimed toward the description and analysis of the gendered construction and representation of experience, which is informed by a political and intellectual commitment to the empowerment of women and the creation of more equitable arrangements between and among specific, culturally defined genders” (p. 339). The core of Levinson’s definition is helpful for understanding the ways that feminist educational anthropologists engage with schools as gendered and political constructs and the larger questions of feminist qualitative research in education. His message also extends to other forms of feminist qualitative research. By focusing on description, analysis, and representation of gendered constructs, educational researchers can move beyond simple binary analyses to more nuanced understandings of the myriad ways gender operates within educational contexts.

Feminist qualitative research spans the range of qualitative methodologies, but much early research emerged out of the feminist postmodern turn in anthropology (Behar & Gordon, 1995 ), which was a response to male anthropologists who ignored the gendered implications of ethnographic research (e.g., Clifford & Marcus, 1986 ). Historically, most of the work on feminist education was conducted in the 1980s and 1990s, with a resurgence in the late 2010s (Culley & Portuges, 1985 ; DuBois, Kelly, Kennedy, Korsmeyer, & Robinson, 1985 ; Gottesman, 2016 ; Maher & Tetreault, 1994 ; Thayer-Bacon, Stone, & Sprecher, 2013 ). Within this body of research, the majority focuses on higher education (Coffey & Delamont, 2000 ; Digiovanni & Liston, 2005 ; Diller, Houston, Morgan, & Ayim, 1996 ; Gabriel & Smithson, 1990 ; Mayberry & Rose, 1999 ). Even leading journals, such as Feminist Teacher ( 1984 −present), focus mostly on the challenges of teaching about and to women in higher education, although more scholarship on P–12 education has emerged in recent issues.

There is also a large collection of work on the links between gender, achievement, and self-esteem (American Association of University Women, 1992 , 1999 ; Digiovanni & Liston, 2005 ; Gilligan, 1982 ; Hancock, 1989 ; Jackson, Paechter, & Renold, 2010 ; National Coalition for Women and Girls in Education, 2002 ; Orenstein, 1994 ; Pipher, 1994 ; Sadker & Sadker, 1994 ). However, just because research examines gender does not mean that it is feminist. Simply using gender as a category of analysis does not mean the research project is informed by feminist theory, ethics, or methods, but it is often a starting point for researchers who are interested in the complex ways gender is constructed and the ways it operates in education.

This article examines the histories and theories of U.S.–based feminism, the tenets of feminist qualitative research and methodologies, examples of feminist qualitative studies, and the possibilities for feminist qualitative research in education to provide feminist educational researchers context and methods for engaging in transformative and subversive research. Each section provides a brief overview of the major concepts and conversations, along with examples from educational research to highlight the ways feminist theory has informed educational scholarship. Some examples are given limited attention and serve as entry points into a more detailed analysis of a few key examples. While there is a large body of non-Western feminist theory (e.g., the works of Lila Abu-Lughod, Sara Ahmed, Raewyn Connell, Saba Mahmood, Chandra Mohanty, and Gayatri Spivak), much of the educational research using feminist theory draws on Western feminist theory. This article focuses on U.S.–based research to show the ways that the utilization of feminist theory has changed since the 1980s.

Histories, Origins, and Theories of U.S.–Based Feminism

The normative historiography of feminist theory and activism in the United States is broken into three waves. First-wave feminism (1830s−1920s) primarily focused on women’s suffrage and women’s rights to legally exist in public spaces. During this time period, there were major schisms between feminist groups concerning abolition, rights for African American women, and the erasure of marginalized voices from larger feminist debates. The second wave (1960s and 1980s) worked to extend some of the rights won during the first wave. Activists of this time period focused on women’s rights to enter the workforce, sexual harassment, educational equality, and abortion rights. During this wave, colleges and universities started creating women’s studies departments and those scholars provided much of the theoretical work that informs feminist research and activism today. While there were major feminist victories during second-wave feminism, notably Title IX and Roe v. Wade , issues concerning the marginalization of race, sexual orientation, and gender identity led many feminists of color to separate from mainstream white feminist groups. The third wave (1990s to the present) is often characterized as the intersectional wave, as some feminist groups began utilizing Kimberlé Crenshaw’s concept of intersectionality ( 1991 ) to understand that oppression operates via multiple categories (e.g., gender, race, class, age, ability) and that intersecting oppressions lead to different lived experiences.

Historians and scholars of feminism argue that dividing feminist activism into three waves flattens and erases the major contributions of women of color and gender-nonconforming people. Thompson ( 2002 ) called this history a history of hegemonic feminism and proposed that we look at the contributions of multiracial feminism when discussing history. Her work, along with that of Allen ( 1984 ) about the indigenous roots of U.S. feminism, raised many questions about the ways that feminism operates within the public and academic spheres. For those who wish to engage in feminist research, it is vital to spend time understanding the historical, theoretical, and political ways that feminism(s) can both liberate and oppress, depending on the scholar’s understandings of, and orientations to, feminist projects.

Standpoint Epistemology

Much of the theoretical work that informs feminist qualitative research today emerged out of second-wave feminist scholarship. Standpoint epistemology, according to Harding ( 1991 , 2004 ), posits that knowledge comes from one’s particular social location, that it is subjective, and the further one is from the hegemonic norm, the clearer one can see oppression. This was a major challenge to androcentric and Enlightenment theories of knowledge because standpoint theory acknowledges that there is no universal understanding of the world. This theory aligns with the second-wave feminist slogan, “The personal is political,” and advocates for a view of knowledge that is produced from the body.

Greene ( 1994 ) wrote from a feminist postmodernist epistemology and attacked Enlightenment thinking by using standpoint theory as her starting point. Her work serves as an example of one way that educational scholars can use standpoint theory in their work. She theorized encounters with “imaginative literature” to help educators conceptualize new ways of using reading and writing in the classroom and called for teachers to think of literature as “a harbinger of the possible.” (Greene, 1994 , p. 218). Greene wrote from an explicitly feminist perspective and moved beyond simple analyses of gender to a larger critique of the ways that knowledge is constructed in classrooms.

Intersectionality

Crenshaw ( 1991 ) and Collins ( 2000 ) challenged and expanded standpoint theory to move it beyond an individual understanding of knowledge to a group-based theory of oppression. Their work, and that of other black and womanist feminists, opened up multiple spaces of possibility for feminist scholars and researchers because it challenged hegemonic feminist thought. For those interested in conducting feminist research in educational settings, their work is especially pertinent because they advocate for feminists to attend to all aspects of oppression rather than flattening them to one of simple gender-based oppression.

Haddix, McArthur, Muhammad, Price-Dennis, and Sealey-Ruiz ( 2016 ), all women-of-color feminist educators, wrote a provocateur piece in a special issue of English Education on black girls’ literacy. The four authors drew on black feminist thought and conducted a virtual kitchen-table conversation. By symbolically representing their conversations as one from the kitchen, this article pays homage to women-of-color feminism and pushes educators who read English Education to reconsider elements of their own subjectivities. Third-wave feminism and black feminism emphasize intersectionality, in that different demographic details like race, class, and gender are inextricably linked in power structures. Intersectionality is an important frame for educational research because identifying the unique experiences, realities, and narratives of those involved in educational systems can highlight the ways that power and oppression operate in society.

Feminist Poststructural Theory

Feminist poststructural theory has greatly informed many feminist projects in educational research. Deconstruction is

a critical practice that aims to ‘dismantle [ déconstruire ] the metaphysical and rhetorical structures that are at work, not in order to reject or discard them, but to reinscribe them in another way,’ (Derrida, quoted in Spivak, 1974 , p. lxxv). Thus, deconstruction is not about tearing down, but about looking at how a structure has been constructed, what holds it together, and what it produces. (St. Pierre, 2000 , p. 482)

Reality, subjectivity, knowledge, and truth are constructed through language and discourse (cultural practices, power relations, etc.), so truth is local and diverse, rather than a universal experience (St. Pierre, 2000 ). Feminist poststructuralist theory may be used to question structural inequality that is maintained in education through dominant discourses.

In Go Be a Writer! Expanding the Curricular Boundaries of Literacy Learning with Children , Kuby and Rucker ( 2016 ) explored early elementary literacy practices using poststructural and posthumanist theories. Their book drew on hours of classroom observations, student interviews and work, and their own musings on ways to de-standardize literacy instruction and curriculum. Through the process of pedagogical documentation, Kuby and Rucker drew on the works of Barad, Deleuze and Guattari, and Derrida to explore the ways they saw children engaging in what they call “literacy desiring(s).” One aim of the book is to find practical and applicable ways to “Disrupt literacy in ways that rewrite the curriculum, the interactions, and the power dynamics of the classroom even begetting a new kind of energy that spirals and bounces and explodes” (Kuby & Rucker, 2016 , p. 5). The second goal of their book is not only to understand what happened in Rucker’s classroom using the theories, but also to unbound the links between “teaching↔learning” (p. 202) and to write with the theories, rather than separating theory from the methodology and classroom enactments (p. 45) because “knowing/being/doing were not separate” (p. 28). This work engages with key tenets of feminist poststructuralist theory and adds to both the theoretical and pedagogical conversations about what counts as a literacy practice.

While the discussion in this section provides an overview of the histories and major feminist theories, it is by no means exhaustive. Scholars who wish to engage in feminist educational research need to spend time doing the work of understanding the various theories and trajectories that constitute feminist work so they are able to ground their projects and theories in a particular tradition that will inform the ethics and methods of research.

Tenets of Feminist Qualitative Research

Why engage in feminist qualitative research.

Evans and Spivak ( 2016 ) stated, “The only real and effective way you can sabotage something this way is when you are working intimately within it.” Feminist researchers are in the classroom and the academy, working intimately within curricular, pedagogical, and methodological constraints that serve neoliberal ideologies, so it is vital to better understand the ways that we can engage in affirmative sabotage to build a more just and equitable world. Spivak’s ( 2014 ) notion of affirmative sabotage has become a cornerstone for understanding feminist qualitative research and teaching. She borrowed and built on Gramsci’s role of the organic intellectual and stated that they/we need to engage in affirmative sabotage to transform the humanities.

I used the term “affirmative sabotage” to gloss on the usual meaning of sabotage: the deliberate ruining of the master’s machine from the inside. Affirmative sabotage doesn’t just ruin; the idea is of entering the discourse that you are criticizing fully, so that you can turn it around from inside. The only real and effective way you can sabotage something this way is when you are working intimately within it. (Evans & Spivak, 2016 )

While Spivak has been mostly concerned with literary education, her writings provide teachers and researchers numerous lines of inquiry into projects that can explode androcentric universal notions of knowledge and resist reproductive heteronormativity.

Spivak’s pedagogical musings center on deconstruction, primarily Derridean notions of deconstruction (Derrida, 2016 ; Jackson & Mazzei, 2012 ; Spivak, 2006 , 2009 , 2012 ) that seek to destabilize existing categories and to call into question previously unquestioned beliefs about the goals of education. Her works provide an excellent starting point for examining the links between feminism and educational research. The desire to create new worlds within classrooms, worlds that are fluid, interpretive, and inclusive in order to interrogate power structures, lies at the core of what it means to be a feminist education researcher. As researchers, we must seriously engage with feminist theory and include it in our research so that feminism is not seen as a dirty word, but as a movement/pedagogy/methodology that seeks the liberation of all (Davis, 2016 ).

Feminist research and feminist teaching are intrinsically linked. As Kerkhoff ( 2015 ) wrote, “Feminist pedagogy requires students to challenge the norms and to question whether existing practices privilege certain groups and marginalize others” (p. 444), and this is exactly what feminist educational research should do. Bailey ( 2001 ) called on teachers, particularly those who identify as feminists, to be activists, “The values of one’s teaching should not be separated sharply from the values one expresses outside the classroom, because teaching is not inherently pure or laboratory practice” (p. 126); however, we have to be careful not to glorify teachers as activists because that leads to the risk of misinterpreting actions. Bailey argued that teaching critical thinking is not enough if it is not coupled with curriculums and pedagogies that are antiheteronormative, antisexist, and antiracist. As Bailey warned, just using feminist theory or identifying as a feminist is not enough. It is very easy to use the language and theories of feminism without being actively feminist in one’s research. There are ethical and methodological issues that feminist scholars must consider when conducting research.

Feminist research requires one to discuss ethics, not as a bureaucratic move, but as a reflexive move that shows the researchers understand that, no matter how much they wish it didn’t, power always plays a role in the process. According to Davies ( 2014 ), “Ethics, as Barad defines it, is a matter of questioning what is being made to matter and how that mattering affects what it is possible to do and to think” (p. 11). In other words, ethics is what is made to matter in a particular time and place.

Davies ( 2016 ) extended her definition of ethics to the interactions one has with others.

This is not ethics as a matter of separate individuals following a set of rules. Ethical practice, as both Barad and Deleuze define it, requires thinking beyond the already known, being open in the moment of the encounter, pausing at the threshold and crossing over. Ethical practice is emergent in encounters with others, in emergent listening with others. It is a matter of questioning what is being made to matter and how that mattering affects what it is possible to do and to think. Ethics is emergent in the intra-active encounters in which knowing, being, and doing (epistemology, ontology, and ethics) are inextricably linked. (Barad, 2007 , p. 83)

The ethics of any project must be negotiated and contested before, during, and after the process of conducting research in conjunction with the participants. Feminist research is highly reflexive and should be conducted in ways that challenge power dynamics between individuals and social institutions. Educational researchers must heed the warning to avoid the “god-trick” (Haraway, 1988 ) and to continually question and re-question the ways we seek to define and present subjugated knowledge (Hesse-Biber, 2012 ).

Positionalities and Reflexivity

According to feminist ethnographer Noelle Stout, “Positionality isn’t meant to be a few sentences at the beginning of a work” (personal communication, April 5, 2016 ). In order to move to new ways of experiencing and studying the world, it is vital that scholars examine the ways that reflexivity and positionality are constructed. In a glorious footnote, Margery Wolf ( 1992 ) related reflexivity in anthropological writing to a bureaucratic procedure (p. 136), and that resonates with how positionality often operates in the field of education.

The current trend in educational research is to include a positionality statement that fixes the identity of the author in a particular place and time and is derived from feminist standpoint theory. Researchers should make their biases and the identities of the authors clear in a text, but there are serious issues with the way that positionality functions as a boundary around the authors. Examining how the researchers exert authority within a text allows the reader the opportunity to determine the intent and philosophy behind the text. If positionality were used in an embedded and reflexive manner, then educational research would be much richer and allow more nuanced views of schools, in addition to being more feminist in nature. The rest of this section briefly discussrs articles that engage with feminist ethics regarding researcher subjectivities and positionality, and two articles are examined in greater depth.

When looking for examples of research that includes deeply reflexive and embedded positionality, one finds that they mostly deal with issues of race, equity, and diversity. The highlighted articles provide examples of positionality statements that are deeply reflexive and represent the ways that feminist researchers can attend to the ethics of being part of a research project. These examples all come from feminist ethnographic projects, but they are applicable to a wide variety of feminist qualitative projects.

Martinez ( 2016 ) examined how research methods are or are not appropriate for specific contexts. Calderon ( 2016 ) examined autoethnography and the reproduction of “settler colonial understandings of marginalized communities” (p. 5). Similarly, Wissman, Staples, Vasudevan, and Nichols ( 2015 ) discussed how to research with adolescents through engaged participation and collaborative inquiry, and Ceglowski and Makovsky ( 2012 ) discussed the ways researchers can engage in duoethnography with young children.

Abajian ( 2016 ) uncovered the ways military recruiters operate in high schools and paid particular attention to the politics of remaining neutral while also working to subvert school militarization. She wrote,

Because of the sensitive and also controversial nature of my research, it was not possible to have a collaborative process with students, teachers, and parents. Purposefully intervening would have made documentation impossible because that would have (rightfully) aligned me with anti-war and counter-recruitment activists who were usually not welcomed on school campuses (Abajian & Guzman, 2013 ). It was difficult enough to find an administrator who gave me consent to conduct my research within her school, as I had explicitly stated in my participant recruitment letters and consent forms that I was going to research the promotion of post-secondary paths including the military. Hence, any purposeful intervention on my part would have resulted in the termination of my research project. At the same time, my documentation was, in essence, an intervention. I hoped that my presence as an observer positively shaped the context of my observation and also contributed to the larger struggle against the militarization of schools. (p. 26)

Her positionality played a vital role in the creation, implementation, and analysis of military recruitment, but it also forced her into unexpected silences in order to carry out her research. Abajian’s positionality statement brings up many questions about the ways researchers have to use or silence their positionality to further their research, especially if they are working in ostensibly “neutral” and “politically free” zones, such as schools. Her work drew on engaged anthropology (Low & Merry, 2010 ) and critical reflexivity (Duncan-Andrade & Morrell, 2008 ) to highlight how researchers’ subjectivities shape ethnographic projects. Questions of subjectivity and positionality in her work reflect the larger discourses around these topics in feminist theory and qualitative research.

Brown ( 2011 ) provided another example of embedded and reflexive positionality of the articles surveyed. Her entire study engaged with questions about how her positionality influenced the study during the field-work portion of her ethnography on how race and racism operate in ethnographic field-work. This excerpt from her study highlights how she conceived of positionality and how it informed her work and her process.

Next, I provide a brief overview of the research study from which this paper emerged and I follow this with a presentation of four, first-person narratives from key encounters I experienced while doing ethnographic field research. Each of these stories centres the role race played as I negotiated my multiple, complex positionality vis-á-vis different informants and participants in my study. These stories highlight the emotional pressures that race work has on the researcher and the research process, thus reaffirming why one needs to recognise the role race plays, and may play, in research prior to, during, and after conducting one’s study (Milner, 2007 ). I conclude by discussing the implications these insights have on preparing researchers of color to conduct cross-racial qualitative research. (Brown, 2011 , p. 98)

Brown centered the roles of race and subjectivity, both hers and her participants, by focusing her analysis on the four narratives. The researchers highlighted in this section thought deeply about the ethics of their projects and the ways that their positionality informed their choice of methods.

Methods and Challenges

Feminist qualitative research can take many forms, but the most common data collection methods include interviews, observations, and narrative or discourse analysis. For the purposes of this article, methods refer to the tools and techniques researchers use, while methodology refers to the larger philosophical and epistemological approaches to conducting research. It is also important to note that these are not fixed terms, and that there continues to be much debate about what constitutes feminist theory and feminist research methods among feminist qualitative researchers. This section discusses some of the tensions and constraints of using feminist theory in educational research.

Jackson and Mazzei ( 2012 ) called on researchers to think through their data with theory at all stages of the collection and analysis process. They also reminded us that all data collection is partial and informed by the researcher’s own beliefs (Koro-Ljungberg, Löytönen, & Tesar, 2017 ). Interviews are sites of power and critiques because they show the power of stories and serve as a method of worlding, the process of “making a world, turning insight into instrument, through and into a possible act of freedom” (Spivak, 2014 , p. xiii). Interviews allow researchers and participants ways to engage in new ways of understanding past experiences and connecting them to feminist theories. The narratives serve as data, but it is worth noting that the data collected from interviews are “partial, incomplete, and always being re-told and re-membered” (Jackson & Mazzei, 2012 , p. 3), much like the lived experiences of both researcher and participant.

Research, data collection, and interpretation are not neutral endeavors, particularly with interviews (Jackson & Mazzei, 2009 ; Mazzei, 2007 , 2013 ). Since education research emerged out of educational psychology (Lather, 1991 ; St. Pierre, 2016 ), historically there has been an emphasis on generalizability and positivist data collection methods. Most feminist research makes no claims of generalizability or truth; indeed, to do so would negate the hyperpersonal and particular nature of this type of research (Love, 2017 ). St. Pierre ( 2016 ) viewed the lack of generalizability as an asset of feminist and poststructural research, rather than a limitation, because it creates a space of resistance against positivist research methodologies.

Denzin and Giardina ( 2016 ) urged researchers to “consider an alternative mode of thinking about the critical turn in qualitative inquiry and posit the following suggestion: perhaps it is time we turned away from ‘methodology’ altogether ” (p. 5, italics original). Despite the contention over the term critical among some feminist scholars (e.g. Ellsworth, 1989 ), their suggestion is valid and has been picked up by feminist and poststructural scholars who examine the tensions between following a strict research method/ology and the theoretical systems out of which they operate because precision in method obscures the messy and human nature of research (Koro-Ljungberg, 2016 ; Koro-Ljungberg et al., 2017 ; Love, 2017 ; St. Pierre & Pillow, 2000 ). Feminist qualitative researchers should seek to complicate the question of what method and methodology mean when conducting feminist research (Lather, 1991 ), due to the feminist emphasis on reflexive and situated research methods (Hesse-Biber, 2012 ).

Examples of Feminist Qualitative Research in Education

A complete overview of the literature is not possible here, due to considerations of length, but the articles and books selected represent the various debates within feminist educational research. They also show how research preoccupations have changed over the course of feminist work in education. The literature review is divided into three broad categories: Power, canons, and gender; feminist pedagogies, curriculums, and classrooms; and teacher education, identities, and knowledge. Each section provides a broad overview of the literature to demonstrate the breadth of work using feminist theory, with some examples more deeply explicated to describe how feminist theories inform the scholarship.

Power, Canons, and Gender

The literature in this category contests disciplinary practices that are androcentric in both content and form, while asserting the value of using feminist knowledge to construct knowledge. The majority of the work was written in the 1980s and supported the creation of feminist ways of knowing, particularly via the creation of women’s studies programs or courses in existing departments that centered female voices and experiences.

Questioning the canon has long been a focus of feminist scholarship, as has the attempt to subvert its power in the disciplines. Bezucha ( 1985 ) focused on the ways that departments of history resist the inclusion of both women and feminism in the historical canon. Similarly, Miller ( 1985 ) discussed feminism as subversion when seeking to expand the canon of French literature in higher education.

Lauter and Dieterich ( 1972 ) examined a report by ERIC, “Women’s Place in Academe,” a collection of articles about the discrepancies by gender in jobs and tenure-track positions and the lack of inclusion of women authors in literature classes. They also found that women were relegated to “softer” disciplines and that feminist knowledge was not acknowledged as valid work. Culley and Portuges ( 1985 ) expanded the focus beyond disciplines to the larger structures of higher education and noted the varies ways that professors subvert from within their disciplines. DuBois et al. ( 1985 ) chronicled the development of feminist scholarship in the disciplines of anthropology, education, history, literature, and philosophy. They explained that the institutions of higher education often prevent feminist scholars from working across disciplines in an attempt to keep them separate. Raymond ( 1985 ) also critiqued the academy for not encouraging relationships across disciplines and offered the development of women’s, gender, and feminist studies as one solution to greater interdisciplinary work.

Parson ( 2016 ) examined the ways that STEM syllabi reinforce gendered norms in higher education. She specifically looked at eight syllabi from math, chemistry, biology, physics, and geology classes to determine how modal verbs showing stance, pronouns, intertextuality, interdiscursivity, and gender showed power relations in higher education. She framed the study through poststructuralist feminist critical discourse analysis to uncover “the ways that gendered practices that favor men are represented and replicated in the syllabus” (p. 103). She found that all the syllabi positioned knowledge as something that is, rather than something that can be co-constructed. Additionally, the syllabi also favored individual and masculine notions of what it means to learn by stressing the competitive and difficult nature of the classroom and content.

When reading newer work on feminism in higher education and the construction of knowledge, it is easy to feel that, while the conversations might have shifted somewhat, the challenge of conducting interdisciplinary feminist work in institutions of higher education remains as present as it was during the creation of women’s and gender studies departments. The articles all point to the fact that simply including women’s and marginalized voices in the academy does not erase or mitigate the larger issues of gender discrimination and androcentricity within the silos of the academy.

Feminist Pedagogies, Curricula, and Classrooms

This category of literature has many similarities to the previous one, but all the works focus more specifically on questions of curriculum and pedagogy. A review of the literature shows that the earliest conversations were about the role of women in academia and knowledge construction, and this selection builds on that work to emphasize the ways that feminism can influence the events within classes and expands the focus to more levels of education.

Rich ( 1985 ) explained that curriculum in higher education courses needs to validate gender identities while resisting patriarchal canons. Maher ( 1985 ) narrowed the focus to a critique of the lecture as a pedagogical technique that reinforces androcentric ways of learning and knowing. She called for classes in higher education to be “collaborative, cooperative, and interactive” (p. 30), a cry that still echoes across many college campuses today, especially from students in large lecture-based courses. Maher and Tetreault ( 1994 ) provided a collection of essays that are rooted in feminist classroom practice and moved from the classroom into theoretical possibilities for feminist education. Warren ( 1998 ) recommended using Peggy McIntosh’s five phases of curriculum development ( 1990 ) and extending it to include feminist pedagogies that challenge patriarchal ways of teaching. Exploring the relational encounters that exist in feminist classrooms, Sánchez-Pardo ( 2017 ) discussed the ethics of pedagogy as a politics of visibility and investigated the ways that democratic classrooms relate to feminist classrooms.

While all of the previously cited literature is U.S.–based, the next two works focus on the ways that feminist pedagogies and curriculum operate in a European context. Weiner ( 1994 ) used autobiography and narrative methodologies to provide an introduction to how feminism has influenced educational research and pedagogy in Britain. Revelles-Benavente and Ramos ( 2017 ) collected a series of studies about how situated feminist knowledge challenges the problems of neoliberal education across Europe. These two, among many European feminist works, demonstrate the range of scholarship and show the trans-Atlantic links between how feminism has been received in educational settings. However, much more work needs to be done in looking at the broader global context, and particularly by feminist scholars who come from non-Western contexts.

The following literature moves us into P–12 classrooms. DiGiovanni and Liston ( 2005 ) called for a new research agenda in K–5 education that explores the hidden curriculums surrounding gender and gender identity. One source of the hidden curriculum is classroom literature, which both Davies ( 2003 ) and Vandergrift ( 1995 ) discussed in their works. Davies ( 2003 ) used feminist ethnography to understand how children who were exposed to feminist picture books talked about gender and gender roles. Vandergrift ( 1995 ) presented a theoretical piece that explored the ways picture books reinforce or resist canons. She laid out a future research agenda using reader response theory to better comprehend how young children question gender in literature. Willinsky ( 1987 ) explored the ways that dictionary definitions reinforced constructions of gender. He looked at the definitions of the words clitoris, penis , and vagina in six school dictionaries and then compared them with A Feminist Dictionary to see how the definitions varied across texts. He found a stark difference in the treatment of the words vagina and penis ; definitions of the word vagina were treated as medical or anatomical and devoid of sexuality, while definitions of the term penis were linked to sex (p. 151).

Weisner ( 2004 ) addressed middle school classrooms and highlighted the various ways her school discouraged unconventional and feminist ways of teaching. She also brought up issues of silence, on the part of both teachers and students, regarding sexuality. By including students in the curriculum planning process, Weisner provided more possibilities for challenging power in classrooms. Wallace ( 1999 ) returned to the realm of higher education and pushed literature professors to expand pedagogy to be about more than just the texts that are read. She challenged the metaphoric dichotomy of classrooms as places of love or battlefields; in doing so, she “advocate[d] active ignorance and attention to resistances” (p. 194) as a method of subverting transference from students to teachers.

The works discussed in this section cover topics ranging from the place of women in curriculum to the gendered encounters teachers and students have with curriculums and pedagogies. They offer current feminist scholars many directions for future research, particularly in the arena of P–12 education.

Teacher Education, Identities, and Knowledge

The third subset of literature examines the ways that teachers exist in classrooms and some possibilities for feminist teacher education. The majority of the literature in this section starts from the premise that the teachers are engaged in feminist projects. The selections concerning teacher education offer critiques of existing heteropatriarchal normative teacher education and include possibilities for weaving feminism and feminist pedagogies into the education of preservice teachers.

Holzman ( 1986 ) explored the role of multicultural teaching and how it can challenge systematic oppression; however, she complicated the process with her personal narrative of being a lesbian and working to find a place within the school for her sexual identity. She questioned how teachers can protect their identities while also engaging in the fight for justice and equity. Hoffman ( 1985 ) discussed the ways teacher power operates in the classroom and how to balance the personal and political while still engaging in disciplinary curriculums. She contended that teachers can work from personal knowledge and connect it to the larger curricular concerns of their discipline. Golden ( 1998 ) used teacher narratives to unpack how teachers can become radicalized in the higher education classroom when faced with unrelenting patriarchal and heteronormative messages.

Extending this work, Bailey ( 2001 ) discussed teachers as activists within the classroom. She focused on three aspects of teaching: integrity with regard to relationships, course content, and teaching strategies. She concluded that teachers cannot separate their values from their profession. Simon ( 2007 ) conducted a case study of a secondary teacher and communities of inquiry to see how they impacted her work in the classroom. The teacher, Laura, explicitly tied her inquiry activities to activist teacher education and critical pedagogy, “For this study, inquiry is fundamental to critical pedagogy, shaped by power and ideology, relationships within and outside of the classroom, as well as teachers’ and students’ autochthonous histories and epistemologies” (Simon, 2007 , p. 47). Laura’s experiences during her teacher education program continued during her years in the classroom, leading her to create a larger activism-oriented teacher organization.

Collecting educational autobiographies from 17 college-level feminist professors, Maher and Tetreault ( 1994 ) worried that educators often conflated “the experience and values of white middle-class women like ourselves for gendered universals” (p. 15). They complicated the idea of a democratic feminist teacher, raised issues regarding the problematic ways hegemonic feminism flattens experience to that of just white women, and pushed feminist professors to pay particular attention to the intersections of race, class, gender, and sexuality when teaching.

Cheira ( 2017 ) called for gender-conscious teaching and literature-based teaching to confront the gender stereotypes she encountered in Portuguese secondary schools. Papoulis and Smith ( 1992 ) conducted summer sessions where teachers experienced writing activities they could teach their students. Conceptualized as an experiential professional development course, the article revolved around an incident where the seminar was reading Emily Dickinson and the men in the course asked the two female instructors why they had to read feminist literature and the conversations that arose. The stories the women told tie into Papoulis and Smith’s call for teacher educators to interrogate their underlying beliefs and ideologies about gender, race, and class, so they are able to foster communities of study that can purposefully and consciously address feminist inquiry.

McWilliam ( 1994 ) collected stories of preservice teachers in Australia to understand how feminism can influence teacher education. She explored how textual practices affect how preservice teachers understand teaching and their role. Robertson ( 1994 ) tackled the issue of teacher education and challenged teachers to move beyond the two metaphors of banking and midwifery when discussing feminist ways of teaching. She called for teacher educators to use feminist pedagogies within schools of education so that preservice teachers experience a feminist education. Maher and Rathbone ( 1986 ) explored the scholarship on women’s and girls’ educational experiences and used their findings to call for changes in teacher education. They argued that schools reinforce the notion that female qualities are inferior due to androcentric curriculums and ways of showing knowledge. Justice-oriented teacher education is a more recent iteration of this debate, and Jones and Hughes ( 2016 ) called for community-based practices to expand the traditional definitions of schooling and education. They called for preservice teachers to be conversant with, and open to, feminist storylines that defy existing gendered, raced, and classed stereotypes.

Bieler ( 2010 ) drew on feminist and critical definitions of dialogue (e.g., those by Bakhtin, Freire, Ellsworth, hooks, and Burbules) to reframe mentoring discourse in university supervision and dialogic praxis. She concluded by calling on university supervisors to change their methods of working with preservice teachers to “Explicitly and transparently cultivat[e] dialogic praxis-oriented mentoring relationships so that the newest members of our field can ‘feel their own strength at last,’ as Homer’s Telemachus aspired to do” (Bieler, 2010 , p. 422).

Johnson ( 2004 ) also examined the role of teacher educators, but she focused on the bodies and sexualities of preservice teachers. She explored the dynamics of sexual tension in secondary classrooms, the role of the body in teaching, and concerns about clothing when teaching. She explicitly worked to resist and undermine Cartesian dualities and, instead, explored the erotic power of teaching and seducing students into a love of subject matter. “But empowered women threaten the patriarchal structure of this society. Therefore, women have been acculturated to distrust erotic power” (Johnson, 2004 , p. 7). Like Bieler ( 2010 ), Johnson ( 2004 ) concluded that, “Teacher educators could play a role in creating a space within the larger framework of teacher education discourse such that bodily knowledge is considered along with pedagogical and content knowledge as a necessary component of teacher training and professional development” (p. 24). The articles about teacher education all sought to provoke questions about how we engage in the preparation and continuing development of educators.

Teacher identity and teacher education constitute how teachers construct knowledge, as both students and teachers. The works in this section raise issues of what identities are “acceptable” in the classroom, ways teachers and teacher educators can disrupt oppressive storylines and practices, and the challenges of utilizing feminist pedagogies without falling into hegemonic feminist practices.

Possibilities for Feminist Qualitative Research

Spivak ( 2012 ) believed that “gender is our first instrument of abstraction” (p. 30) and is often overlooked in a desire to understand political, curricular, or cultural moments. More work needs to be done to center gender and intersecting identities in educational research. One way is by using feminist qualitative methods. Classrooms and educational systems need to be examined through their gendered components, and the ways students operate within and negotiate systems of power and oppression need to be explored. We need to see if and how teachers are actively challenging patriarchal and heteronormative curriculums and to learn new methods for engaging in affirmative sabotage (Spivak, 2014 ). Given the historical emphasis on higher education, more work is needed regarding P–12 education, because it is in P–12 classrooms that affirmative sabotage may be the most necessary to subvert systems of oppression.

In order to engage in affirmative sabotage, it is vital that qualitative researchers who wish to use feminist theory spend time grappling with the complexity and multiplicity of feminist theory. It is only by doing this thought work that researchers will be able to understand the ongoing debates within feminist theory and to use it in a way that leads to a more equitable and just world. Simply using feminist theory because it may be trendy ignores the very real political nature of feminist activism. Researchers need to consider which theories they draw on and why they use those theories in their projects. One way of doing this is to explicitly think with theory (Jackson & Mazzei, 2012 ) at all stages of the research project and to consider which voices are being heard and which are being silenced (Gilligan, 2011 ; Spivak, 1988 ) in educational research. More consideration also needs to be given to non-U.S. and non-Western feminist theories and research to expand our understanding of education and schooling.

Paying close attention to feminist debates about method and methodology provides another possibility for qualitative research. The very process of challenging positivist research methods opens up new spaces and places for feminist qualitative research in education. It also allows researchers room to explore subjectivities that are often marginalized. When researchers engage in the deeply reflexive work that feminist research requires, it leads to acts of affirmative sabotage within the academy. These discussions create the spaces that lead to new visions and new worlds. Spivak ( 2006 ) once declared, “I am helpless before the fact that all my essays these days seem to end with projects for future work” (p. 35), but this is precisely the beauty of feminist qualitative research. We are setting ourselves and other feminist researchers up for future work, future questions, and actively changing the nature of qualitative research.

Acknowledgements

Dr. George Noblit provided the author with the opportunity to think deeply about qualitative methods and to write this article, for which the author is extremely grateful. Dr. Lynda Stone and Dr. Tanya Shields are thanked for encouraging the author’s passion for feminist theory and for providing many hours of fruitful conversation and book lists. A final thank you is owed to the author’s partner, Ben Skelton, for hours of listening to her talk about feminist methods, for always being a first reader, and for taking care of their infant while the author finished writing this article.

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Qualitative Research in Early Childhood Education and Care Implementation

  • Wendy K. Jarvie 1  

International Journal of Child Care and Education Policy volume  6 ,  pages 35–43 ( 2012 ) Cite this article

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Governments around the world have boosted their early childhood education and care (ECEC) engagement and investment on the basis of evidence from neurological studies and quantitative social science research. The role of qualitative research is less understood and under-valued. At the same time the hard evidence is only of limited use in helping public servants and governments design policies that work on the ground. The paper argues that some of the key challenges in ECEC today require a focus on implementation. For this a range of qualitative research is required, including knowledge of organisational and parent behaviour, and strategies for generating support for change. This is particularly true of policies and programs aimed at ethnic minority children. It concludes that there is a need for a more systematic approach to analysing and reporting ECEC implementation, along the lines of “implementation science” developed in the health area.

Introduction

Research conducted over the last 15 years has been fundamental to generating support for ECEC policy reform and has led to increased government investments and intervention in ECEC around the world. While neurological evidence has been a powerful influence on ECEC policy practitioners, quantitative research has also been persuasive, particularly randomised trials and longitudinal studies providing evidence (1) on the impact of early childhood development experiences to school success, and to adult income and productivity, and (2) that properly constructed government intervention, particularly for the most disadvantaged children, can make a significant difference to those adult outcomes. At the same time the increased focus on evidence-informed policy has meant experimental/quantitative design studies have become the “gold standard” for producing knowledge (Denzin & Lincoln, 2005 ), and pressures for improved reporting and accountability have meant systematic research effort by government has tended to focus more on data collection and monitoring, than on qualitative research (Bink, 2007 ). In this environment the role of qualitative research has been less valued by senior government officials.

Qualitative Research-WhatIs It?

The term qualitative research means different things to different people (Denzin & Lincoln, 2005 ). For some researchers it is a way of addressing social justice issues and thus is part of radical politics to give power to the marginalised. Others see it simply as another research method that complements quantitative methodologies, without any overt political function. Whatever the definition of qualitative research, or its role, a qualitative study usually:

Features an in depth analysis of an issue, event, entity, or process. This includes literature reviews and meta studies that draw together findings from a number of studies.

Is an attempt to explain a highly complex and/or dynamic issue or process that is unsuited to experimental or quantitative analysis.

Includes a record of the views and behaviours of the players — it studies the world from the perspective of the participating individual.

Cuts across disciplines, fields and subject matter.

Uses a range of methods in one study, such as participant observation; in depth interviewing of participants, key stakeholders, and focus groups; literature review; and document analysis.

High quality qualitative research requires high levels of skill and judgement. Sometimes it requires pulling together information from a mosaic of data sources and can include quantitative data (the latter is sometimes called mixed mode studies). From a public official perspective, the weaknesses of qualitative research can include (a) the cost-it can be very expensive to undertake case studies if there are a large number of participants and issues, (b) the complexity — the reports can be highly detailed, contextually specific examples of implementation experience that while useful for service delivery and front line officials are of limited use for national policy development, (c) difficultyin generalising from poor quality and liable to researcher bias, and (d) focus, at times, more on political agendas of child rights than the most cost-effective policies to support the economic and social development of a nation. It has proved hard for qualitative research to deliver conclusions that are as powerful as those from quantitative research. Educational research too, has suffered from the view that education academics have over-used qualitative research and expert judgement, with little rigorous or quantitative verification (Cook & Gorard, 2007 ).

Qualitative Research and Early Childhood Education and Care

In fact, the strengths of qualitative ECEC research are many, and their importance for government, considerable. Qualitative research has been done in all aspects of ECEC operations and policies, from coordinating mechanisms at a national level (OECD, 2006 ), curriculum frameworks (Office for Children and Early Childhood Development, 2008 ), and determining the critical elements of preschool quality (Siraj-Blatchford et al., 2003 ), to developing services at a community level including effective outreach practices and governance arrangements. Qualitative research underpins best practice guides and regulations (Bink, 2007 ). Cross country comparative studies on policies and programs rely heavily on qualitative research methods.

For public officials qualitative components of program evaluations are essential to understanding how a program has worked, and to what extent variation in outcomes and impacts from those expected, or between communities, are the result of local or national implementation issues or policy flaws. In addition, the public/participant engagement in qualitative components of evaluations can reinforce public trust in public officials and in government more broadly.

In many ways the contrast between quantitative and qualitative research is a false dichotomy and an unproductive comparison. Qualitative research complements quantitative research, for example, through provision of background material and identification of research questions. Much quantitative research relies on qualitative research to define terms, and to identify what needs to be measured. For example, the Effective Provision of PreSchool Education (EPPE) studies, which have been very influential and is a mine of information for policy makers, rely on initial qualitative work on what is quality in a kindergarten, and how can it be assessed systematically (Siraj-Blatchford et al., 2003 ). Qualitative research too can elucidate the “how” of a quantitative result. For example, quantitative research indicates that staff qualifications are strongly associated with better child outcomes, but it is qualitative work that shows that it is not the qualification per se that has an impact on child outcomes-rather it is the ability of staff to create a high quality pedagogic environment (OECD, 2012 ).

Challenges of Early Childhood Education and Care

Systematic qualitative research focused on the design and implementation of government programs is essential for governments today.

Consider some of the big challenges facing governments in early childhood development (note this is not a complete list):

Creating coordinated national agendas for early childhood development that bring together education, health, family and community policies and programs, at national, provincial and local levels (The Lancet, 2011 ).

Building parent and community engagement in ECEC/Early Childhood Development (ECD), including increasing parental awareness of the importance of early childhood services. In highly disadvantaged or dysfunctional communities this also includes increasing their skills and abilities to provide a healthy, stimulating and supportive environment for young children, through for example parenting programs (Naudeau, Kataoka, Valerio, Neuman & Elder, 2011 ; The Lancet, 2011 ; OECD, 2012 ).

Strategies and action focused on ethnic minority children, such as outreach, ethnic minority teachers and teaching assistants and informal as well as formal programs.

Enhancing workforce quality, including reducing turnover, and improved practice (OECD, 2012 ).

Building momentum and advocacy to persuade governments to invest in the more “invisible” components of quality such as workforce professional development and community liaison infrastructure; and to maintain investment over significant periods of time (Jarvie, 2011 ).

Driving a radical change in the way health/education/familyservicepro fessions and their agencies understand each other and to work together. Effectively integrated services focused on parents, children and communities can only be achieved when professions and agencies step outside their silos (Lancet, 2011 ). This would include redesign of initial training and professional development, and fostering collaborations in research, policy design and implementation.

There are also the ongoing needs for,

Identifying and developing effective parenting programs that work in tandem with formal ECEC provision.

Experiments to determine if there are lower cost ways of delivering quality and outcomes for disadvantaged children, including the merits of adding targeted services for these children on the base of universal services.

Figuring out how to scale up from successful trials (Grunewald & Rolnick, 2007 ; Engle et al., 2011 ).

Working out how to make more effective transitions between preschool and primary school.

Making research literature more accessible to public officials (OECD, 2012 ).

Indeed it can be argued that some of the most critical policy and program imperatives are in areas where quantitative research is of little help. In particular, qualitative research on effective strategies for ethnic minority children, their parents and their communities, is urgently needed. In most countries it is the ethnic minority children who are educationally and economically the most disadvantaged, and different strategies are required to engage their parents and communities. This is an area where governments struggle for effectiveness, and public officials have poor skills and capacities. This issue is common across many developed and developing countries, including countries with indigenous children such as Australia, China, Vietnam, Chile, Canada and European countries with migrant minorities (OECD, 2006 ; COAG, 2008 ; World Bank, 2011 ). Research that is systematic and persuasive to governments is needed on for example, the relative effectiveness of having bilingual environments and ethnic minority teachers and teaching assistants in ECEC centres, compared to the simpler community outreach strategies, and how to build parent and community leadership.

Many countries are acknowledging that parental and community engagement is a critical element of effective child development outcomes (OECD, 2012 ). Yet public officials, many siloed in education and child care ministries delivering formal ECEC services, are remote from research on raising parent awareness and parenting programs. They do not see raising parental skills and awareness as core to their policy and program responsibilities. Improving parenting skills is particularly important for very young children (say 0–3) where the impact on brain development is so critical. It has been argued there needs to be a more systematic approach to parenting coach/support programs, to develop a menu of options that we know will work, to explore how informal programs can work with formal programs, and how health programs aimed young mothers or pregnant women can be enriched with education messages (The Lancet, 2011 ).

Other areas where qualitative research could assist are shown in Table 1 (see p. 40).

Implementation Science in Early Childhood Education and Care

Much of the suggested qualitative research in Table 1 is around program design and implementation . It is well-known that policies often fail because program design has not foreseen implementation issues or implementation has inadequate risk management. Early childhood programs are a classic example of the “paradox of non-evidence-based implementation of evidence-based practice” (Drake, Gorman & Torrey, 2005). Governments recognise that implementation is a serious issue: there may be a lot of general knowledge about “what works”, but there is minimal systematic information about how things actually work . One difficulty is that there is a lack of a common language and conceptual framework to describe ECEC implementation. For example, the word “consult” can describe a number of different processes, from public officials holding a one hour meeting with available parents in alocation,to ongoing structures set up which ensureall communityelementsare involved and reflect thespectrum of community views, and tocontinue tobuild up community awareness and engagement over time.

There is a need to derive robust findingsof generic value to public officials, for program design. In the health sciences, there is a developing literature on implementation, including a National implementation Research Network based in the USA, and a Journal of Implementation Science (Fixsen, Naoom, Blasé, Friedman & Wallace, 2005 ). While much of the health science literature is focused on professional practice, some of the concepts they have developed are useful for other fields, such as the concept of “fidelity” of implementation which describes the extent to which a program or service has been implemented as designed. Education program implementation is sometimes included in these fora, however, there is no equivalent significant movement in early childhood education and care.

A priority in qualitative research for ECEC of value to public officials would then appear to be a systematic focus on implementation studies, which would include developing a conceptual framework and possibly a language for systematic description of implementation, as well as, meta-studies. This need not start from scratch-much of the implementation science literature in health is relevant, especially the components around how to influence practitioners to incorporate latest evidence-based research into their practice, and the notions of fidelity of implementation. It could provide an opportunity to engage providers and ECE professionals in research, where historically ECEC research has been weak.

Essential to this would be collaborative relationships between government agencies, providers and research institutions, so that there is a flow of information and findings between all parties.

Quantitative social science research, together with studies of brain development, has successfully made the case for greater investment in the early years.There has been less emphasis on investigating what works on the ground especially for the most disadvantaged groups, and bringing findings together to inform government action. Yet many of the ECEC challenges facing governments are in implementation, and in ensuring that interventions are high quality. This is particularly true of interventions to assist ethnic minority children, who in many countries are the most marginalised and disadvantaged. Without studies that can improve the quality of ECEC implementation, governments, and other bodies implementing ECEC strategies, are at risk of not delivering the expected returns on early childhood investment. This could, over time, undermine the case for sustained government support.

It is time for a rebalancing of government research activity towards qualitative research, complemented by scaled up collaborations with ECEC providers and research institutions. A significant element of this research activity could usefully be in developing a more systematic approach to analysing and reporting implementation, and linking implementation to outcomes. This has been done quite effectively in the health sciences. An investment in developing an ECEC ‘implementation science’ would thus appear to be a worthy of focus for future work.

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The World Bank. (2011). Early Child Development in China: Breaking the Cycle of Poverty and Improving Future Competiveness (Report No. 53746-CN). Retrieved from https://openknowledge.worldbank.org/bitstream/handle/10986/9383/709830PUB0EPI0067926B09780821395646.pdf?sequence=1

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This paper was originally prepared for the OECD Early Childhood Education and Care Network Meeting, 24 January 2012, Oslo, Norway.

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Jarvie, W.K. Qualitative Research in Early Childhood Education and Care Implementation. ICEP 6 , 35–43 (2012). https://doi.org/10.1007/2288-6729-6-2-35

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Recognizing the Value of Educational Research

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  • A recent survey shows that research on teaching and learning is not valued at many AACSB-accredited schools across the U.S. and Canada.
  • One reason that business schools might not recognize research on teaching and learning is that the journal quality lists they commonly use to assess faculty intellectual contributions focus primarily on discipline-based scholarship.
  • STEM fields already place equal value on research on teaching and learning within individual disciplines. By following their lead, two Canadian scholars argue, business schools will enrich their students’ learning experiences.    

If business educators were asked to define the purpose of business schools, they likely would emphasize the need to “prepare the next generation of leaders.” But if this is the case, why do so few business schools prioritize research that advances teaching and curricular design?

Researcher Sanobar Siddiqui first explored this question as the subject of her doctoral dissertation. “One of my thesis findings was that the tenure system’s lack of rewards impedes business academics from pursuing research in teaching and learning,” she explains.

Now an assistant professor of accounting at the University of Regina’s Faculty of Business Administration in Canada, Siddiqui wanted to learn why so many business schools do not value research on teaching and learning (RoTL). This response is puzzling, she says, given that Standard 7 of the  AACSB Business Accreditation Standards  accepts “scholarship of teaching and learning” as documentation to indicate a business school’s teaching effectiveness and impact.

She and Camillo Lento, a professor with the Faculty of Business Administration at Lakehead University in Thunder Bay, Ontario, published a  paper  on the status of RoTL in the April 2022 edition of the International Journal of Educational Management . The paper’s findings are based on a survey in which Siddiqui and Lento asked educators two questions:

  • How do AACSB-accredited business schools in the U.S. and Canada define “teaching effectiveness,” according to AACSB’s Standard 7?
  • Do these schools consider research on teaching and learning in their promotion and tenure decisions?

This topic is particularly important, says Siddiqui, because business schools serve such diverse student audiences. Moreover, learner success is integral to every business school’s mission. Many of the instructional strategies “that we use in class are not research-informed or evidence-based. Hence, we are shortchanging our students,” she says. “Our teaching needs to catch up with the changes we see in our classroom.”

‘A Last Priority’

Siddiqui and Lento received 78 responses to their survey; in the second phase of their study, they conducted semi-structured interviews with 11 educators in the U.S. and Canada.

Among survey respondents, 42 percent noted that they were “unaware of an explicit teaching effectiveness definition” at their schools, but 58 percent said the policies in place at their schools communicated “an implied definition.” Only one respondent could quote a definition of teaching effectiveness from the school’s website.

Respondents noted a lack of “perceived respect and value” for RoTL, describing this line of scholarship as “a last priority” at their schools. As one educator put it, “Our department does not really care about teaching as long as you are cranking out strong scholarship.”

Schools that consider educational research for tenure and faculty qualification tend to focus on journal quality alone, not on whether published articles are discipline-based.

The good news is that 55 percent of respondents noted that their schools did take RoTL into account when making tenure decisions. Siddiqui and Lento found that these schools have two things in common. First, they focus on journal quality alone for the purposes of tenure and faculty qualification, not on whether faculty’s published articles are discipline-based.

Second, these schools are more likely to consider RoTL when faculty include this work “as part of a larger research plan that includes discipline-based research.” Only faculty following teaching tracks are likely to receive tenure based solely on publications in education-focused journals. 

Additionally, teaching-oriented schools are more likely than research-oriented schools to recognize RoTL. While this makes outward sense, Siddiqui wonders why prolific faculty who produce innovative scholarship on pedagogical issues that are critical to business education cannot “be hired, promoted, and awarded just like discipline-based researchers” at research-oriented institutions.

What Perpetuates the Stigma?

Siddiqui and Lento point to several factors that could be driving the lack of recognition of RoTL among AACSB-accredited schools:

No consensus about teaching quality.  Although many individual educational institutions have defined teaching effectiveness based on existing research, business schools have not yet established a shared definition of what constitutes effective teaching. However, the co-authors emphasize, more dedicated research could produce findings that inspire a common language around teaching and learning.

The complex nature of determining teaching quality. Schools often evaluate the quality of faculty’s research by whether the work appears in academic journals that are rated highly by certain  journal quality lists . However, they find they cannot use a similar approach to evaluate the quality of faculty’s teaching, says Lento. “The evaluation of teaching effectiveness is much more complex and requires many more sources of information, possibly compiled into a teaching dossier that is unique to an educator.”

A lack of attention in business doctoral programs. Most doctoral programs train young researchers to study topics related to their disciplines of choice. As a result of this early training, RoTL “may come with a stigma as it is outside of traditional discipline-specific research,” Lento says.

Lento admits that the reasons listed above are speculative. He and Siddiqui would like to see other researchers conduct follow-up studies that take deeper dives into the broader stigma surrounding RoTL.

Changing Mindsets, Taking Action

In the meantime, Siddiqui and Lento call on business school administrators and faculty to work together to create a “shared and precise definition of teaching effectiveness.” Educators can start by defining teaching quality within their own institutions.

From there, Siddiqui and Lento say that schools can take any or all the following actions to change mindsets about RoTL:

  • Set appropriate objectives, incentives, and evaluation mechanisms.
  • Create and nurture communities of practice that help like-minded faculty pursue research focused on solving issues they face in their classrooms.
  • Consider weighing education research in peer-reviewed articles more heavily, particularly for faculty in teaching-focused roles.
  • Recognize RoTL for accreditation and tenure and normalize it as a legitimate form of scholarship.
  • Make seed funds available to faculty who pursue RoTL.
  • Give awards and incentives to faculty who use research-informed teaching in their classrooms.
  • Consider hiring tenure-track academics who also are expert educators with an expressed interest in pursuing RoTL. These scholars can investigate and develop “research-informed teaching tools ready to be put into practice in almost any business classroom,” says Siddiqui. This outcome, she emphasizes, is an indication of how RoTL contributes to the advancement of business disciplines.
  • Encourage and teach RoTL in doctoral programs, with the aim of improving and advancing the quality of teaching at business schools.

Siddiqui points out that information on the websites of AACSB-accredited schools “are replete with research centers, research chairs and scholars, core research focus areas, research awards, annual research celebration reports, intellectual contributions, and grant-funding awards.”

There is no reason, she says, that schools could not also highlight information about their teaching philosophies, teaching awards, student feedback, educational leadership and professional development, and faculty research on teaching and learning.

Two B-School Perspectives

So far, Siddiqui and Lento’s paper has captured the attention of other like-minded educators in the business school community. This includes Nicola Charwat, associate dean of teaching and learning and senior lecturer of business law and taxation at Monash University’s Monash Business School (MBS) in Caulfield East, Australia.

MBS prioritizes scholarship on teaching and learning (SoTL) where appropriate, she says, through efforts that include identifying quality education-oriented journals and valuing publication in those journals equally to publication in discipline-based journals. The school uses “a consultative process” to identify journals specializing in teaching and learning that are equivalent to discipline-based journals rated as A*, A, B, and C on the quality list compiled by the Australian Business Deans Council.

“We have also instituted a Business Education and Research Group, which has been awarding both practice- and research-output-focused grants to staff for three years,” Charwat says. “Alongside these efforts, of course, there are moves in the university in line with the broader trend of raising the profile of teaching and ensuring its status is on par with other work of the university.”

Educators in STEM disciplines have long recognized educational research in tenure decisions and regularly reward academics who pursue RoTL in their disciplines.

Despite these changes, Charwat notes that the perception remains that accomplishments related to educational research are “somehow lesser” than those related to discipline-related scholarship. Additionally, many faculty remain uncertain about how to approach educational research. In response, MBS has built communities of practice dedicated to teaching and is now working “to increase awareness of and opportunities to undertake SoTL and education research,” Charwat says.

Charwat says that the questions raised in Siddiqui and Lento’s paper are “essential” to business education, and that their article “has prompted us to start exploring the patterns of our own SoTL and education research.” MBS faculty, she adds, might also pursue a similar study focused on AACSB-accredited schools in Australia. 

Another educator who read the article with interest is Martin Lockett, former dean and professor of strategic management at Nottingham University Business School China (NUBS China) in Zhejiang. Lockett explains that NUBS China uses the Academic Journal Guide , which is produced by the Chartered Association of Business Schools (CABS), to support tenure decisions and to classify faculty under AACSB accreditation standards.

But in the CABS guide, only four journals focused on teaching and learning are rated as 3, 4, or 4*, which are the targets that NUBS China uses to qualify faculty as Scholarly Academics under AACSB accreditation or for internal recognition of quality research, Lockett says.

This has led to worry among the school’s teaching-oriented faculty that if they focus on RoTL, they risk being classified as “additional faculty,” unless they can consistently publish in the few education-focused journals listed by CABS. That concern, Lockett says, deters most faculty from pursuing RoTL in any substantial way.

While this scenario is all too common at institutions with research-focused missions, it is not mandated by AACSB accreditation standards, emphasizes Stephanie Bryant, AACSB’s chief accreditation officer. She clarifies that whether a business school considers educational scholarship for the purpose of accreditation or tenure is its choice, based on the parameters it has set for its individual mission. “The standards do not say anywhere, or imply, that educational research is not valued,” Bryant stresses. The devaluation of RoTL, she adds, “is a school perspective.”

Time to ‘Balance the Scales’

The stigma surrounding RoTL at AACSB-accredited business schools could be lifted, say Siddiqui and Lento, if administrators acknowledge the benefits that fostering cultures of teaching and learning bring to all business school stakeholders. These advantages include a wider scope of scholarship and more evidence-based pedagogical tools for faculty, richer learning experiences and better learning outcomes for students, and more well-rounded job candidates for employers.

Educators in science, technology, engineering, and mathematics (STEM) disciplines already know this, says Siddiqui. STEM departments have long recognized educational research in tenure decisions and regularly reward academics who pursue RoTL in their disciplines.

As one example, Siddiqui points to Carl Edwin Wieman, winner of the 2001 Nobel Peace Prize in Physics. Wieman established the  Carl Wieman Science Education Initiative  at the University of British Columbia in Canada to encourage evidence-based teaching methods focused on improving undergraduate science education. Since its inception, the initiative has hired fellows who are interested in conducting education research, particularly based in the disciplines in which they have earned their doctorates. It also has inspired the creation of teaching materials in science education, a dedicated website, and a sister initiative at the University of Colorado Boulder in the United States.

Business schools, says Siddiqui, could achieve comparable results by raising awareness of the importance of RoTL, disseminating RoTL findings beyond peer-reviewed journals, and driving research-informed teaching methods that advance business education.

This year, the co-authors published a second paper that finds that scholarly and practice academics who developed rigorous research skills in their doctoral programs and who publish discipline-based research are more likely to pursue RoTL research. Here, Siddiqui and Lento more directly call on business school deans to reward and incentivize this line of research by creating communities of practice and expanding their journal ranking frameworks to include relevant peer-reviewed publications.

It is imperative, Siddiqui and Lento argue, that business schools place studies based on classroom settings on equal footing with studies based on corporate settings. “Research on teaching and learning balances the scales,” Siddiqui says, “by utilizing evidence-based, efficient, and effective teaching to foster deep learning amongst diverse student audiences.”

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