what is an example of qualitative research in education

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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Educational Research Basics by Del Siegle

Qualitative research paradigm.

I am amazed how often we hear qualitative researchers applying their standards to quantitative research or quantitative researchers applying their standards to qualitative research. Each functions within different assumptions. Finding fault with one approach with the standards of another does little to promote understanding. Each approach should be judges on its theoretical basis.

The Assumptions of Qualitative Designs

• Qualitative researchers are concerned primarily with process , rather than outcomes or products.
• Qualitative researchers are interested in meaning: ­how people make sense of their lives, experiences, and their structures of the world.
• The qualitative researcher is the primary instrument for data collection and analysis. Data are mediated through this human instrument, rather than through inventories, questionnaires, or machines.
• Qualitative research involves fieldwork . The researcher physically goes to the people, setting, site, or institution to observe or record behavior in its natural setting.
• Qualitative research is descriptive in that the researcher is interested in process, meaning, and understanding gained through words or pictures.
• The process of qualitative research is inductive in that the researcher builds abstractions, concepts, hypotheses, and theories from details.

…..Merriam, S. B. (1988). Case study research in education: A qualitative approach. San Francisco, CA: Jossey-Bass.

….. Creswell, J. W. (1994). Research design: Qualitative & quantitative approaches . Thousand Oaks, CA: Sage Publications.

Arguments Supporting Qualitative Inquiry

• Human behavior is significantly influenced by the setting in which it occurs; thus one must study that behavior in situations. The physical setting (­e.g., schedules, space, pay, and rewards­) and the internalized notions of norms, traditions, roles, and values are crucial contextual variables. Research must be conducted in the setting where all the contextual variables are operating.
• Past researchers have not been able to derive meaning…from experimental research.
• The research techniques themselves, in experimental research, [can]…affect the findings. The lab, the questionnaire, and so on, [can]…become artifacts. Subjects [can become]…either suspicious and wary, or they [can become]…aware of what the researchers want and try to please them. Additionally, subjects sometimes do not know their feelings, interactions, and behaviors, so they cannot articulate them to respond to a questionnaire.
• One cannot understand human behavior without understanding the framework within which subjects interpret their thoughts, feelings, and actions. Researchers need to understand the framework. In fact, the “objective ” scientist, by coding and standardizing, may destroy valuable data while imposing her world on the subjects.
• Field study research can explore the processes and meanings of events.

…..Marshall, C., & Rossman, G. (1980). Designing qualitative research . Newbury Park, CA: Sage.

Predispositions of Quantitative and Qualitative Modes of Inquiry

Although some social science researchers (Lincoln & Guba, 1985; Schwandt, 1989) perceive qualitative and quantitative approaches as incompatible, others (Patton, 1990; Reichardt & Cook, 1979) believe that the skilled researcher can successfully combine approaches. The argument usually becomes muddled because one party argues from the underlying philosophical nature of each paradigm, and the other focuses on the apparent compatibility of the research methods, enjoying the rewards of both numbers and words. Because the positivist and the interpretivist paradigms rest on different assumptions about the nature of the world, they require different instruments and procedures to find the type of data desired. This does not mean, however, that the positivist never uses interviews nor that the interpretivist never uses a survey. They may, but such methods are supplementary, not dominant….Different approaches allow us to know and understand different things about the world….Nonetheless, people tend to adhere to the methodology that is most consonant with their socialized worldview. (p. 9)

….. Glesne, C., & Peshkin, A. (1992). Becoming qualitative researchers: An introduction. White Plains, NY: Longman.

Contrasting Positivist and Naturalist Axioms (Beliefs and Assumptions)

….. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry . Newbury Park, CA: Sage Publications.

….. Spradley, J. P. (1979). The ethnographic interview. Fort Worth, TX: Harcourt Brace Jovanovich College Publishers.

Five popular types of Qualitative Research are

• Ethnography
• Phenomenological
• Grounded Theory

Del Siegle, Ph.D [email protected] www.delsiegle.info

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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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Pritha Bhandari

Chapter 6. Reflexivity

Introduction.

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. This chapter discusses the concept of reflexivity and its importance for conducting reliable qualitative research.

Reflexivity: What It Is and Why It Is Important

Remember our discussion in epistemology ? Qualitative researchers tend to question assertions of absolute fact or reality, unmediated through subject positions and subject knowledge. There are limits to what we know because we are part of the social worlds we inhabit. To use the terminology of standpoint theorists, we have a standpoint from which we observe the world just as much as anyone else. In this, we too are the blind men, and the world is our elephant. None of us are omniscient or neutral observers. Because of this epistemological standpoint, qualitative researchers value the ability to reflect upon and think hard about our own effects on our research. We call this reflexivity. Reflexivity “generally involves the self-examination of how research findings were produced, and, particularly, the role of the researcher in their construction” ( Heaton 2004:104 ).

There are many aspects of being reflexive. First, there is the simple fact that we are human beings with the limitations that come with that condition. We have likes and dislikes, biases, blind spots, preferences, and so on. If we do not take these into account, they can prevent us from being the best researcher we can be. Being reflective means, first and foremost, trying as best as possible to bracket out elements of our own character and understanding that get in the way. It is important to note that bias (in this context, at least) is not inherently wrong. It just is. Unavoidable. But by noting it, we can minimize its impact or, in some cases, help explain more clearly what it is we see or why it is that we are asking the questions we are asking. For example, I might want to communicate to my audience that I grew up poor and that I have a lot of sympathy and concern for first-generation college students as a result. This “bias” of mine motivates me to do the work I do, even as I try to ensure that it does not blind me to things I find out in the course of my research. [1]

A second aspect of being reflexive is being aware that you yourself are part of the research when you are conducting qualitative research. This is particularly true when conducting interviews, observing interactions, or participating in activities. You have a body, and it will be “read” by those in the field. You will be perceived as an insider or an outsider, as a friend or foe, as empathetic or hostile. Some of this will be wrong. People will prejudge you based on the color of your skin, your presented gender, the accent of your language. People will classify you based on the clothes you wear, and they will be more open to you if you remind them of a friendly aunt or uncle and more reserved if you remind them of someone they don’t like. This is all natural and inevitable. Your research will suffer if you do not take this into account, if you do not reflect upon how you are being read and how this might be influencing what people tell you or what they are willing to do in front of you. The flip side of this problem is that your particular body and presence will open some doors barred to other researchers. Finding sites and contexts where your presented self is a benefit rather than a burden is an important part of your individual research career. Be honest with yourself about this, and you will be more successful as a qualitative researcher. Learn to leverage yourself in your research.

The third aspect of being reflexive is related to how we communicate our work to others. Being honest with our position, as I am about my own social background and its potential impact on what I study or about how I leveraged my own position to get people to open up to me, helps our audiences evaluate what we have found. Maybe I haven’t entirely eliminated my biases or weaknesses, but by telling my audience who I am and where I potentially stand, they can take account of those biases and weaknesses in their reading of my findings. Letting them know that I wore pink when talking with older men because that made them more likely to be kind to me (a strategy acknowledged by Posselt [ 2016 ]) helps them understand the interview context. In other words, my research becomes more reliable when my own social position and the strategies I used are communicated.

Some people think being reflective is just another form of narcissistic navel-gazing. “The study is not about you!” they might cry. True, to some degree—but that also misses the point. All studies on the social world are inevitably about us as well because we are part of that social world. It is actually more dangerous to pretend that we are neutral observers, outside what we are observing. Pierre Bourdieu makes this point several times, and I think it is worth quoting him here: “The idea of a neutral science is fiction, an interested fiction which enables its authors to present a version of the dominant representation of the social world, naturalized and euphemized into a particularly misrecognizable and symbolically, therefore, particularly effective form, and to call it scientific” (quoted in Lemert 1981:278 ).

Bourdieu ( 1984 ) argues that reflective analysis is “not an epistemological scruple” but rather “an indispensable pre-condition of scientific knowledge of the object” ( 92 ). It would be narcissistic to present findings without reflection, as that would give much more weight to any findings or insights that emerge than is due.

The critics are right about one thing, however. Putting oneself at the center of the research is also inappropriate. [2] The focus should be on what is being researched, and the reflexivity is there to advance the study, not to push it aside. This issue has emerged at times when researchers from dominant social positions reflect upon their social locations vis-à-vis study participants from marginalized locations. A researcher who studies how low-income women of color experience unemployment might need to address her White, upper-class, fully employed social location, but not at the cost of crowding out the stories, lived experiences, and understandings of the women she has interviewed. This can sometimes be a delicate balance, and not everyone will agree that a person has walked it correctly.

Examples of Reflexivity in Practice

Most qualitative researchers include a positionality statement in any “methods section” of their publications. This allows readers to understand the location of the researcher, which is often helpful for gauging reliability . Many journals now require brief positionality statements as well. Here are a few examples of such statements.

The first is from an ethnographic study of elite golfers. Ceron-Anaya ( 2017 ) writes about his class, race, and gender and how these aspects of his identity and social location affected his interactions with research participants:

My own class origins, situated near the intersection between the middle and the lower-middle class, hindered cooperation in some cases. For example, the amiable interaction with one club member changed toward the end of the interview when he realized that I commonly moved about in the city by public transportation (which is a strong class indicator). He was not rude but stopped elaborating on the answers as he had been doing up to that point.…Bodily confidence is a privilege of the privileged. My subordinate position, vis-à-vis golfers, was ameliorated by my possession of cultural capital, objectified in my status of researcher/student in a western university. However, my cultural capital dwindled in its value at the invisible but firm boundary between the upper-middle and the upper class. The few contacts I made with members of the upper class produced no connections with other members of the same group, illustrating how the research process is also inserted in the symbolic and material dynamics that shape the field. ( 288 )

What did you learn from Ceron-Anaya’s reflection? If he hadn’t told you about his background, would this have made a difference in reading about elite golfers? Would the findings be different had Ceron-Anaya driven up to the club in a limousine? Is it helpful to know he came by bus?

The second example is from a study on first-generation college students. Hinz ( 2016 ) discusses both differences and similarities between herself and those she interviewed and how both could have affected the study:

I endeavored to avoid researcher bias by allowing the data to speak for itself, but my own habitus as a White, female, middle-class second-generation college student with a few years of association with Selective State [elite university] may have influenced my interpretation. Being a Selective State student at the time of the interviews provided a familiarity with the environment in which the participants were living, and an ease of communication facilitated by a shared institutional culture. And yet, not being a first-gen myself, it seemed as if I were standing on the periphery of their experience, looking in. ( 289–290 )

Note that Hinz cannot change who she is, nor should she. Being aware (reflective) that she may “stand on the periphery” of the experience of those she interviews has probably helped her listen more closely rather than assume she understands what is really going on. Do you find her more reliable given this?

These statements can be quite long, especially when found in methodological appendixes in books rather than short statements in articles. This last lengthy example comes from my own work. I try to place myself, explaining the motivations for the research I conducted at small liberal arts colleges:

I began this project out of a deep curiosity about how college graduates today were faring in an increasingly debt-ridden and unequal labor market. I was working at a small liberal arts college when I began thinking about this project and was poised to take a job at another one. During my interview for the new job, I was told that I was a good fit, because I had attended Barnard College, so I knew what the point of a liberal arts college was. I did. A small liberal arts college was a magical place. You could study anything you wanted, for no reason at all, simply for the love of it. And people would like you for it. You were surrounded by readers, by people who liked to dress up in costume and recite Shakespeare, by people who would talk deep into the night about the meaning of life or whether “beauty” existed out there, in nature, or was simply a projection of our own circumstances. My own experience at Barnard had been somewhat like that. I studied Ancient Greek and Latin, wrote an undergraduate thesis on the legal standing of Vestal Virgins in Ancient Rome, and took frequent subway rides to the Cloisters, the medieval annex of the Metropolitan Museum of Art, where I sketched the courtyard and stared at unicorn tapestries. But I also worked full-time, as a waitress at a series of hectic and demanding restaurants around the city, as a security guard for the dorm, as a babysitter for some pretty privileged professors who lived in doorman buildings along Riverside Park, and at the library (the best job by far). I also constantly worried I would not be able to finish my degree, as every year I was unsure how I would come up with the money to pay for costs of college above and beyond the tuition (which, happily, was covered by the college given my family’s low income). Indeed, the primary reason I studied the Classics was because all the books were freely available in the library. There are no modern textbooks—you just find a copy of the Iliad. There are a lot of those in a city like New York. Due to my fears, I pushed to graduate one year early, taking a degree in “Ancient Studies” instead of “Classics,” which could have led on to graduate training. From there, I went to law school, which seemed like a safe choice. I do not remember ever having a conversation with anyone about how to find a job or what kinds of job one could do with a degree in Ancient Studies. I had little to no social networks, as I had spent my time studying and working. And I was very lucky, because I graduated with almost zero debt. For years, until that job interview, I hadn’t really thought my Barnard experience had been that great or unusual. But now it was directly helping me get a job, about fifteen years after graduation. And it probably had made me a better person, whatever that means. Had I graduated with debt, however, I am not so sure that it would have been worth it. Was it, on balance, a real opportunity and benefit for poor students like me? Even now? I had a hunch of what I might find if I looked: small liberal arts colleges were unique places of opportunity for low-income first-generation working-class students who somehow managed to find and get in to one of them (no easy task). I thought that, because of their ethos, their smallness, the fact that one could not hide from professors, these colleges would do a fair job equalizing opportunities and experiences for all their students. I wanted to tell this story. But that is not the story that I found, or not entirely. While everyone benefits from the kind of education a small liberal arts college can offer, because students begin and continue so differently burdened and privileged, the advantages of the already-advantaged are amplified, potentially increasing rather than decreasing initial inequalities. That is not really a surprising story, but it is an important one to tell and to remember. Education doesn’t reduce inequality. Going to a good college doesn’t level the playing field for low-income, first-generation, working-class students. But perhaps it can help them write a book about that. ( Hurst 2019:259–261 )

What do you think? Did you learn something about the author that would help you, as a reader, understand the reasons and context for the study? Would you trust the researcher? If you said yes, why?

How to Do It

How does one become a reflective researcher? Practice! Nearly every great qualitative researcher maintains a reflexive journal (there are exceptions that prove the rule), a type of diary where they record their thinking on the research process itself. This might include writing about the research design (chapter 2), plotting out strategies for sample selection (chapter 6), or talking through what one believes can be known (chapter 3). During analysis, this journal is a place to record ideas and insights and pose questions for further reflection or follow-up studies. This journal should be highly personal. It is a place to record fears, concerns, and hopes as well. Why are you studying what you are studying? What is really motivating you? Being clear with yourself and being able to put it down in words are invaluable to the research process.

Today, there are many blogs out there on writing reflective journals, with helpful suggestions and examples. Although you may want to take a look at some of these, the form of your own journal will probably be unique. This is you, the researcher, on the page. Each of us looks different. Use the journal to interrogate your decisions and clarify your intent. If you find something during the study of note, you might want to ask yourself what led you to note that. Why do you think this “thing” is a “thing”? What about your own position, background, or researcher status that makes you take note? And asking yourself this question might lead you to think about what you did not notice. Other questions to ask yourself include the following: How do I know “that thing” I noted? So what? What does it mean? What are the implications? Who cares about this and why? Remember that doing qualitative research well is recursive , meaning that we may begin with a research design, but the steps of doing the research often loop back to the beginning. By keeping a reflective journal, you allow yourself to circle back to the beginning, to make changes to the study to keep it in line with what you are really interested in knowing.

One might also consider designing research that includes multiple investigators, particularly those who may not share your preconceptions about the study. For example, if you are studying conservative students on campus, and you yourself thoroughly identify as liberal, you might want to pair up with a researcher interested in the topic who grew up in a conservative household. If you are studying racial regimes, consider creating a racially diverse team of researchers. Or you might include in your research design a component of participatory research wherein members of the community of interest become coresearchers. Even if you can’t form a research team, you can reach out to others for feedback as you move along. Doing research can be a lonely enterprise, so finding people who will listen to you and nudge you to clarify your thinking where necessary or move you to consider an aspect you have missed is invaluable.

Finally, make it a regular part of your practice to write a paragraph reporting your perspectives, positions, values, and beliefs and how these may have influenced the research. This paragraph may be included in publications upon request.

Internal Validity

Being reflexive can help ensure that our studies are internally valid. All research must be valid to be helpful. We say a study’s findings are externally valid when they are equally true of other times, places, people. Quantitative researchers often spend a lot of time grappling with external validity , as they are often trying to demonstrate that their sample is representative of a larger population. Although we do not do that in qualitative research, we do sometimes make claims that the processes and mechanisms we uncover here, in this particular setting, are likely to be equally active in that setting over there, although there may be (will be!) contextual differences as well. Internal validity is more peculiar to qualitative research. Is your finding an accurate representation of what you are studying? Are you describing the people you are observing or interviewing as they really are? This is internal validity , and you should be able to see how this connects with the requirement of reflexivity. To the extent that you leave unexamined your own biases or preconceptions, you will fail at accurately representing those people and processes you study. Remember that “bias” here is not a moral failing in the way we commonly use bias in the nonresearch world but an inevitable product of our being social beings who inhabit social worlds, with all the various complexities surrounding that. Because of things that have happened to you, certain things (concepts, quotes, activities) might jump out at you as being particularly important. Being reflexive allows you to take a step back and grapple with the larger picture, reflecting on why you might be seeing X (which is present) but also missing Y (which is also present). It also allows you to consider what effect/impact your presence has on what you are observing or being told and to make any adjustments necessary to minimize your impact or, at the very least, to be aware of these effects and talk about them in any descriptions or presentations you make. There are other ways of ensuring internal validity (e.g., member checking , triangulation ), but being reflective is an essential component.

Advanced: Bourdieu on Reflexivity

One researcher who really tackled the issue of reflexivity was Pierre Bourdieu. [3] Known in the US primarily as a theorist, Bourdieu was a very capable and thorough researcher, who employed a variety of methods in his wide-ranging studies. Originally trained as an anthropologist, he became uncomfortable with the unreflective “outsider perspective” he was taught to follow. How was he supposed to observe and write about the various customs and rules of the people he was studying if he did not take into account his own supposedly neutral position in the observations? And even more interestingly, how could he write about customs and rules as if they were lifted from but outside of the understandings and practice of the people following them? When you say “God bless you” to someone who sneezes, are you really following a social custom that requires the prevention of illness through some performative verbal ritual of protection, or are you saying words out of reflex and habit? Bourdieu wondered what it meant that anthropologists were so ready to attribute meaning to actions that, to those performing them, were probably unconsidered. This caused him to ponder those deep epistemological questions about the possibilities of knowledge, particularly what we can know and truly understand about others. Throughout the following decades, as he developed his theories about the social world out of the deep and various studies he engaged in, he thought about the relationship between the researcher and the researched. He came to several conclusions about this relationship.

First, he argued that researchers needed to be reflective about their position vis-à-vis the object of study. The very fact that there is a subject and an object needs to be accounted for. Too often, he argued, the researcher forgets that part of the relationship, bracketing out the researcher entirely, as if what is being observed or studied exists entirely independently of the study. This can lead to false reports, as in the case where a blind man grasps the trunk of the elephant and claims the elephant is cylindrical, not having recognized how his own limitations of sight reduced the elephant to only one of its parts.

As mentioned previously, Bourdieu ( 1984 ) argued that “reflective analysis of the tools of analysis is not an epistemological scruple but an indispensable precondition of scientific knowledge of the object” ( 92 ). It is not that researchers are inherently biased—they are—but rather that the relationship between researcher and researched is an unnatural one that needs to be accounted for in the analysis. True and total objectivity is impossible, as researchers are human subjects themselves, called to research what interests them (or what interests their supervisors) and also inhabiting the social world. The solution to this problem is to be reflective and to account for these aspects in the analysis itself. Here is how Bourdieu explains this charge:

To adopt the viewpoint of REFLEXIVITY is not to renounce objectivity but to question the privilege of the knowing subject, which the antigenetic vision arbitrarily frees, as purely noetic, from the labor of objectification. To adopt this viewpoint is to strive to account for the empirical “subject” in the very terms of the objectivity constructed by the scientific subject (notably by situating it in a determined place in social space-time) and thereby to give oneself awareness and (possible) mastery of the constraints which may be exercised on the scientific subject via all the ties which attach it to the empirical “subject,” to its interests, motives, assumptions, beliefs, its doxa, and which it must break in order to constitute itself . ( 1996:207 ; emphases added)

Reflexivity, for Bourdieu, was a trained state of mind for the researcher, essential for proper knowledge production. Let’s use a story from Hans Christian Andersen to illustrate this point. If you remember this story from your childhood, it goes something like this: Two con artists show up in a town in which its chief monarch spends a lot of money on expensive clothes and splashy displays. They sense an opportunity to make some money out of this situation and pretend they are talented weavers from afar. They tell the vain emperor that they can make the most magnificent clothes anyone has ever seen (or not seen, as the case may be!). Because what they really do is “pretend” to weave and sew and hand the emperor thin air, which they then help him to put on in an elaborate joke. They tell him that only the very stupid and lowborn will be unable to see the magnificent clothes. Embarrassed that he can’t see them either, he pretends he can. Everyone pretends they can see clothes, when really the emperor walks around in his bare nakedness. As he parades through town, people redden and bow their heads, but no one says a thing. That is, until one child looks at the naked emperor and starts to laugh. His laughter breaks the spell, and everyone realizes the “naked truth.”

Now let us add a new thread to this story. The boy did not laugh. Years go by, and the emperor continues to wear his new clothes. At the start of every day, his aides carefully drape the “new clothes” around his naked body. Decades go by, and this is all “normal.” People don’t even see a naked emperor but a fully robed leader of the free world. A researcher, raised in this milieu, visits the palace to observe court habits. She observes the aides draping the emperor. She describes the care they take in doing so. She nowhere reports that the clothes are nonexistent because she herself has been trained to see them . She thus misses a very important fact—that there are no clothes at all! Note that it is not her individual “biases” that are getting in the way but her unreflective acceptance of the reality she inhabits that binds her to report things less accurately than she might.

In his later years, Bourdieu turned his attention to science itself and argued that the promise of modern science required reflectivity among scientists. We need to develop our reflexivity as we develop other muscles, through constant practice. Bourdieu ( 2004 ) urged researchers “to convert reflexivity into a disposition, constitutive of their scientific habitus, a reflexivity reflex , capable of acting not ex poste , on the opus operatum , but a priori , on the modus operandi ” ( 89 ). In other words, we need to build into our research design an appreciation of the relationship between researcher and researched.

To do science properly is to be reflective, to be aware of the social waters in which one swims and to turn one’s researching gaze on oneself and one’s researcher position as well as on the object of the research. Above all, doing science properly requires one to acknowledge science as a social process. We are not omniscient gods, lurking above the humans we observe and talk to. We are human too.

Further Readings

Barry, Christine A., Nicky Britten, Nick Barbar, Colin Bradley, and Fiona Stevenson. 1999. “Using Reflexivity to Optimize Teamwork in Qualitative Research.”  Qualitative Health Research  9(1):26–44. The coauthors explore what it means to be reflexive in a collaborative research project and use their own project investigating doctor-patient communication about prescribing as an example.

Hsiung, Ping-Chun. 2008. “Teaching Reflexivity in Qualitative Interviewing.” Teaching Sociology 36(3):211–226. As the title suggests, this article is about teaching reflexivity to those conducting interviews.

Kenway, Jane, and Julie McLeod. 2004. “Bourdieu’s Reflexive Sociology and ‘Spaces of Points of View’: Whose Reflexivity, Which Perspective?” British Journal of Sociology of Education 25(4):525–544. For a more nuanced understanding of Bourdieu’s meaning of reflexivity and how this contrasts with other understandings of the term in sociology.

Kleinsasser, Audrey M. 2000. “Researchers, Reflexivity, and Good Data: Writing to Unlearn.” Theory into Practice 39(3):155–162. Argues for the necessity of reflexivity for the production of “good data” in qualitative research.

Linabary, Jasmine R., and Stephanie A. Hamel. 2017. “Feminist Online Interviewing: Engaging Issues of Power, Resistance and Reflexivity in Practice.” Feminist Review 115:97–113. Proposes “reflexive email interviewing” as a promising method for feminist research.

Rabbidge, Michael. 2017. “Embracing Reflexivity: The Importance of Not Hiding the Mess.” TESOL Quarterly 51(4):961–971. The title here says it all.

Wacquant, Loïc J. D. 1989. “Towards a Reflexive Sociology: A Workshop with Pierre Bourdieu.” Sociological Theory 7(1):26–63. A careful examination of Bourdieu’s notion of reflexivity by one of his most earnest disciples.

• Someone might ask me if I have truly been able to “stand” in the shoes of more privileged students and if I might be overlooking similarities among college students because of my “biased” standpoint. These are questions I ask myself all the time. They have even motivated me to conduct my latest research on college students in general so that I might check my observations that working-class college students are uniquely burdened ( Hurst 2019 ). One of the things I did find was that middle-class students, relative to upper-class students, are also relatively disadvantaged and sometimes experience (feel) that disadvantage. ↵
• Unless, of course, one is engaged in autoethnography! Even in that case, however, the point of the study should probably be about a larger phenomenon or experience that can be understood more deeply through insights that emerge in the study of the particular self, not really a study about that self. ↵
• I mentioned Pierre Bourdieu earlier in the chapter. For those who want to know more about his work, I’ve included this advanced section. Undergraduates should feel free to skip over. ↵

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 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 .

A statement created by the researcher declaring their own social position (often in terms of race, class, gender) and social location (e.g., junior scholar or tenured professor) vis-à-vis the research subjects or focus of study, with the goal of explaining and thereby limiting any potential biases or impacts of such position on data analyses, findings, or other research results.  See also reflexivity .

Reliability is most often explained as consistency and stability in a research instrument, as in a weight scale, deemed reliable if predictable and accurate (e.g., when you put a five-pound bag of rice on the scale on Tuesday, it shows the same weight as when you put the same unopened bag on the scale Wednesday).  Qualitative researchers don’t measure things in the same way, but we still must ensure that our research is reliable, meaning that if others were to conduct the same interview using our interview guide, they would get similar answers.  This is one reason that reflexivity is so important to the reliability of qualitative research – we have to take steps to ensure that our own presence does not “tip the scales” in one direction or another or that, when it does, we can recognize that and make corrections.  Qualitative researchers use a variety of tools to help ensure reliability, from intercoder reliability to triangulation to reflexivity.

In mostly quantitative research, validity refers to “the extent to which an empirical measure adequately reflects the real meaning of the concept under consideration” ( Babbie 1990 ). For qualitative research purposes, practically speaking, a study or finding is valid when we are measuring or addressing what we think we are measuring or addressing.  We want our representations to be accurate, as they really are, and not an artifact of our imaginations or a result of unreflected bias in our thinking.

A method of ensuring trustworthiness where the researcher shares aspects of written analysis (codes, summaries, drafts) with participants before the final write-up of the study to elicit reactions and/or corrections.   Note that the researcher has the final authority on the interpretation of the data collected; this is not a way of substituting the researcher’s analytical responsibilities.  See also peer debriefing . 

The process of strengthening a study by employing multiple methods (most often, used in combining various qualitative methods of data collection and analysis).  This is sometimes referred to as data triangulation or methodological triangulation (in contrast to investigator triangulation or theory triangulation).  Contrast mixed methods .

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.

Using Qualitative Data in Education For Better Student Outcomes

Qualitative data in education is a powerful tool that can be used to enhance instructional practices and improve student outcomes. By understanding and effectively utilizing qualitative data, educators can gain valuable insights into their students’ experiences, perceptions, and needs.

In this article, we’ll uncover the importance of qualitative data in education, discuss different techniques for gathering and analyzing data, and provide strategies for applying this knowledge to make data-informed decisions to benefit students.

• What is Qualitative Data in Education?
• The Importance of Qualitative Data in Education
• Gathering Qualitative Data in the Classroom
• Analyzing Qualitative Data for Educational Insights
• Tools for Qualitative Data Analysis
• Applying Qualitative Data to Improve Student Outcomes
• Overcoming Challenges in Using Qualitative Data

1.  What is Qualitative Data in Education?

When it comes to understanding qualitative data in education, it’s important to have a clear definition. Qualitative data encompasses a wide range of information that is gathered through various methods, including observations, interviews, focus groups, and written documents. These methods include observing students in their natural learning environments, conducting interviews to gather their perspectives, engaging in focus groups to explore shared experiences, and analyzing written documents such as essays or reflective journals.

By using these methods, educators can gather rich and detailed information about students’ experiences, allowing them to gain insights into their thoughts, emotions, and motivations. This type of data is often subjective in nature, as it is influenced by the unique perspectives and interpretations of the individuals involved.

2.  The Importance of Qualitative Data in Education

Qualitative data plays a crucial role in education as it provides insights into complex phenomena that quantitative data alone cannot capture. While quantitative data can provide information about student performance and achievement, it does not provide a complete picture of the factors that influence these outcomes.

Read next: A guide to the different types of data in education

By gathering qualitative data, teachers can gain a holistic understanding of their students’ learning environments. They can uncover factors that may influence their academic performance, such as classroom dynamics, instructional approaches, and socio-cultural factors. For example, qualitative data can reveal how students’ cultural backgrounds impact their learning experiences and how their interactions with peers and teachers shape their attitudes towards education.

Moreover, qualitative data allows educators to explore the why and how behind students’ behaviors, attitudes, and outcomes. It enables them to identify patterns, themes, and trends that can guide instructional practices, curriculum development, and overall school improvement strategies.

By analyzing qualitative data, educators can gain valuable insights into the effectiveness of their teaching methods and make informed decisions to enhance student learning. They can also use this data to tailor their instruction to meet the diverse needs of their students, ensuring that every learner has the opportunity to succeed.

3.  Gathering Qualitative Data in the Classroom

Gathering qualitative data in the classroom involves using various methods to collect and document students’ experiences and perspectives. By employing a range of techniques, educators can gather a rich and diverse set of qualitative data that represents various dimensions of students’ educational journey.

Qualitative data in education can take different forms, including:

• Written reflections
• Classroom observations
• Focus groups, and
• Student work samples.

Each type of data collection method offers unique insights into students’ thoughts, feelings, and attitudes. For example, interviews can provide in-depth information about individual students’ experiences and perceptions. Educators can sit down with students one-on-one and ask open-ended questions to delve into their thoughts and emotions regarding their learning experiences. This method allows for a deeper understanding of the student’s perspective and allows them to express their thoughts freely.

Focus groups, on the other hand, allow for group discussions and the exploration of shared perspectives and experiences. Educators can gather a small group of students and facilitate a conversation around a specific topic or theme. This method encourages students to share their thoughts and engage in meaningful dialogue with their peers, providing valuable insights into their collective experiences.

By employing these techniques, educators can engage students directly in the data collection process, offering them the opportunity to have their voices heard. This participatory approach not only promotes student engagement but also provides a more accurate representation of their experiences and perspectives.

4.  Analyzing Qualitative Data for Educational Insights

Once qualitative data has been collected, the next step is to analyze it to derive meaningful insights. Analyzing qualitative data involves a systematic and rigorous examination of the gathered information to identify patterns, themes, and trends.

Qualitative data analysis is a crucial step in the research process, as it allows educators to gain a deeper understanding of the experiences, perspectives, and behaviors of their students. By analyzing qualitative data, educators can uncover valuable insights that can inform their teaching practices and decision-making processes.

The process of qualitative data analysis typically involves several key steps. These include transcribing interviews or observations, identifying codes or themes, categorizing data, and interpreting the findings.

Transcribing interviews or observations is an essential step in qualitative data analysis. It involves converting audio or video recordings into written text, ensuring that every detail and nuance is captured accurately. This transcription process allows educators to review and analyze the data more effectively.

Identifying codes or themes is another crucial aspect of qualitative data analysis. Codes are labels or tags that are assigned to specific segments of data, representing concepts or ideas that emerge from the analysis. By identifying codes, educators can organize the data and make it more manageable for further analysis.

Categorizing data is the process of grouping similar codes or themes together. This step helps educators identify patterns and connections within the data. By categorizing data, educators can gain a holistic view of the information and draw meaningful conclusions.

Interpreting the findings is the final step in qualitative data analysis. It involves making sense of the data and extracting meaningful insights. Educators need to critically analyze the data, considering the context, participants’ perspectives, and their own experiences and knowledge. By interpreting the findings, educators can generate valuable knowledge that can be applied to their teaching practices.

5.  Tools for Qualitative Data Analysis

There are various software tools available that can facilitate the analysis of qualitative data. These tools provide features for coding, organizing, and visualizing data, making the analysis process more efficient and manageable.

One popular qualitative data analysis software is NVivo. NVivo offers a range of features that allow educators to organize and analyze their qualitative data effectively. It provides tools for coding, annotating, and visualizing data, making it easier to identify patterns and themes. NVivo also allows for collaboration, enabling educators to work together on analyzing the data and deriving insights.

Another widely used software for qualitative data analysis is ATLAS.ti. ATLAS.ti provides a comprehensive set of tools for coding, organizing, and analyzing qualitative data. It allows educators to create networks and visual representations of their data, helping them to identify relationships and connections. ATLAS.ti also offers advanced text search capabilities, making it easier to locate specific information within the data.

Overall, the availability of these software tools has revolutionized the process of qualitative data analysis. Educators now have access to powerful and user-friendly tools that can enhance their ability to analyze and derive insights from qualitative data. By utilizing these tools, educators can make more informed decisions and improve their teaching practices based on a deeper understanding of their students’ experiences and perspectives.

6.  Applying Qualitative Data to Improve Student Outcomes

Using qualitative data effectively can lead to tangible improvements in student outcomes. By applying insights gained from qualitative data analysis, educators can tailor their instructional practices and interventions to better support students’ needs.

Strategies for Data-Informed Decision Making

Data-informed decision making involves using qualitative data as a basis for making informed choices about teaching strategies, curriculum development, and student support services. Educators can use qualitative data to identify areas for improvement, monitor student progress, and evaluate the effectiveness of interventions or instructional approaches.

For example, qualitative data might highlight areas where students are experiencing difficulties or disengagement. Based on this information, educators can implement targeted interventions or adapt teaching methods to better meet students’ needs.

Read next: How student data can improve your teaching strategy

Monitoring and Evaluating the Impact of Data-Driven Changes

Once changes have been implemented based on qualitative data findings, it is essential to monitor and evaluate their impact. Ongoing assessment ensures that interventions are effective and responsive to students’ needs.

Regularly reviewing the outcomes of data-driven changes allows educators to gather additional qualitative data to inform and refine their practices. This cyclical process of data collection, analysis, implementation, and evaluation enables continuous improvement and better student outcomes.

7.  Overcoming Challenges in Using Qualitative Data

While qualitative data can provide valuable insights, there are challenges to consider when collecting and analyzing this type of data in education. By addressing these obstacles, educators can maximize the benefits of using qualitative data.

One common challenge is ensuring data reliability and validity. To address this, educators should use established research methodologies, such as triangulation, where multiple methods and data sources are used to support or validate findings. Additionally, educators may face time constraints and limited resources when collecting qualitative data. Planning and prioritizing data collection activities, as well as leveraging technology tools for data analysis, can help overcome these challenges.

When working with qualitative data, it is essential to prioritize ethical considerations. Educators must obtain informed consent from participants, protect their privacy and confidentiality , and ensure that the data is used only for educational purposes. By nurturing a culture of ethical data use, educators can build trust with their students and maintain the integrity of their research and decision-making processes.

Final Thoughts

In summary, qualitative data in education is a valuable resource that can enhance and improve student outcomes. Understanding qualitative data, employing effective data collection techniques, and analyzing the gathered information can provide educators with insights into students’ experiences and needs.

While qualitative data provides rich, in-depth insights into student experiences and needs, it’s essential to visualize and interpret this information for maximum impact. Our Inno™ Starter Kits are designed precisely for this purpose. By offering educators a comprehensive platform to easily plug in and showcase qualitative student data, the kits empower you to derive actionable strategies for enhanced student outcomes. Don’t just gather data—transform it into meaningful change with Inno™ Starter Kits.

Thank you for sharing!

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Home » Qualitative Research – Methods, Analysis Types and Guide

Qualitative Research – Methods, Analysis Types and Guide

Table of Contents

Qualitative Research

Qualitative research is a type of research methodology that focuses on exploring and understanding people’s beliefs, attitudes, behaviors, and experiences through the collection and analysis of non-numerical data. It seeks to answer research questions through the examination of subjective data, such as interviews, focus groups, observations, and textual analysis.

Qualitative research aims to uncover the meaning and significance of social phenomena, and it typically involves a more flexible and iterative approach to data collection and analysis compared to quantitative research. Qualitative research is often used in fields such as sociology, anthropology, psychology, and education.

Qualitative Research Methods

Qualitative Research Methods are as follows:

One-to-One Interview

This method involves conducting an interview with a single participant to gain a detailed understanding of their experiences, attitudes, and beliefs. One-to-one interviews can be conducted in-person, over the phone, or through video conferencing. The interviewer typically uses open-ended questions to encourage the participant to share their thoughts and feelings. One-to-one interviews are useful for gaining detailed insights into individual experiences.

Focus Groups

This method involves bringing together a group of people to discuss a specific topic in a structured setting. The focus group is led by a moderator who guides the discussion and encourages participants to share their thoughts and opinions. Focus groups are useful for generating ideas and insights, exploring social norms and attitudes, and understanding group dynamics.

Ethnographic Studies

This method involves immersing oneself in a culture or community to gain a deep understanding of its norms, beliefs, and practices. Ethnographic studies typically involve long-term fieldwork and observation, as well as interviews and document analysis. Ethnographic studies are useful for understanding the cultural context of social phenomena and for gaining a holistic understanding of complex social processes.

Text Analysis

This method involves analyzing written or spoken language to identify patterns and themes. Text analysis can be quantitative or qualitative. Qualitative text analysis involves close reading and interpretation of texts to identify recurring themes, concepts, and patterns. Text analysis is useful for understanding media messages, public discourse, and cultural trends.

This method involves an in-depth examination of a single person, group, or event to gain an understanding of complex phenomena. Case studies typically involve a combination of data collection methods, such as interviews, observations, and document analysis, to provide a comprehensive understanding of the case. Case studies are useful for exploring unique or rare cases, and for generating hypotheses for further research.

Process of Observation

This method involves systematically observing and recording behaviors and interactions in natural settings. The observer may take notes, use audio or video recordings, or use other methods to document what they see. Process of observation is useful for understanding social interactions, cultural practices, and the context in which behaviors occur.

Record Keeping

This method involves keeping detailed records of observations, interviews, and other data collected during the research process. Record keeping is essential for ensuring the accuracy and reliability of the data, and for providing a basis for analysis and interpretation.

This method involves collecting data from a large sample of participants through a structured questionnaire. Surveys can be conducted in person, over the phone, through mail, or online. Surveys are useful for collecting data on attitudes, beliefs, and behaviors, and for identifying patterns and trends in a population.

Qualitative data analysis is a process of turning unstructured data into meaningful insights. It involves extracting and organizing information from sources like interviews, focus groups, and surveys. The goal is to understand people’s attitudes, behaviors, and motivations

Qualitative Research Analysis Methods

Qualitative Research analysis methods involve a systematic approach to interpreting and making sense of the data collected in qualitative research. Here are some common qualitative data analysis methods:

Thematic Analysis

This method involves identifying patterns or themes in the data that are relevant to the research question. The researcher reviews the data, identifies keywords or phrases, and groups them into categories or themes. Thematic analysis is useful for identifying patterns across multiple data sources and for generating new insights into the research topic.

Content Analysis

This method involves analyzing the content of written or spoken language to identify key themes or concepts. Content analysis can be quantitative or qualitative. Qualitative content analysis involves close reading and interpretation of texts to identify recurring themes, concepts, and patterns. Content analysis is useful for identifying patterns in media messages, public discourse, and cultural trends.

Discourse Analysis

This method involves analyzing language to understand how it constructs meaning and shapes social interactions. Discourse analysis can involve a variety of methods, such as conversation analysis, critical discourse analysis, and narrative analysis. Discourse analysis is useful for understanding how language shapes social interactions, cultural norms, and power relationships.

Grounded Theory Analysis

This method involves developing a theory or explanation based on the data collected. Grounded theory analysis starts with the data and uses an iterative process of coding and analysis to identify patterns and themes in the data. The theory or explanation that emerges is grounded in the data, rather than preconceived hypotheses. Grounded theory analysis is useful for understanding complex social phenomena and for generating new theoretical insights.

Narrative Analysis

This method involves analyzing the stories or narratives that participants share to gain insights into their experiences, attitudes, and beliefs. Narrative analysis can involve a variety of methods, such as structural analysis, thematic analysis, and discourse analysis. Narrative analysis is useful for understanding how individuals construct their identities, make sense of their experiences, and communicate their values and beliefs.

Phenomenological Analysis

This method involves analyzing how individuals make sense of their experiences and the meanings they attach to them. Phenomenological analysis typically involves in-depth interviews with participants to explore their experiences in detail. Phenomenological analysis is useful for understanding subjective experiences and for developing a rich understanding of human consciousness.

Comparative Analysis

This method involves comparing and contrasting data across different cases or groups to identify similarities and differences. Comparative analysis can be used to identify patterns or themes that are common across multiple cases, as well as to identify unique or distinctive features of individual cases. Comparative analysis is useful for understanding how social phenomena vary across different contexts and groups.

Applications of Qualitative Research

Qualitative research has many applications across different fields and industries. Here are some examples of how qualitative research is used:

• Market Research: Qualitative research is often used in market research to understand consumer attitudes, behaviors, and preferences. Researchers conduct focus groups and one-on-one interviews with consumers to gather insights into their experiences and perceptions of products and services.
• Health Care: Qualitative research is used in health care to explore patient experiences and perspectives on health and illness. Researchers conduct in-depth interviews with patients and their families to gather information on their experiences with different health care providers and treatments.
• Education: Qualitative research is used in education to understand student experiences and to develop effective teaching strategies. Researchers conduct classroom observations and interviews with students and teachers to gather insights into classroom dynamics and instructional practices.
• Social Work : Qualitative research is used in social work to explore social problems and to develop interventions to address them. Researchers conduct in-depth interviews with individuals and families to understand their experiences with poverty, discrimination, and other social problems.
• Anthropology : Qualitative research is used in anthropology to understand different cultures and societies. Researchers conduct ethnographic studies and observe and interview members of different cultural groups to gain insights into their beliefs, practices, and social structures.
• Psychology : Qualitative research is used in psychology to understand human behavior and mental processes. Researchers conduct in-depth interviews with individuals to explore their thoughts, feelings, and experiences.
• Public Policy : Qualitative research is used in public policy to explore public attitudes and to inform policy decisions. Researchers conduct focus groups and one-on-one interviews with members of the public to gather insights into their perspectives on different policy issues.

How to Conduct Qualitative Research

Here are some general steps for conducting qualitative research:

• Identify your research question: Qualitative research starts with a research question or set of questions that you want to explore. This question should be focused and specific, but also broad enough to allow for exploration and discovery.
• Select your research design: There are different types of qualitative research designs, including ethnography, case study, grounded theory, and phenomenology. You should select a design that aligns with your research question and that will allow you to gather the data you need to answer your research question.
• Recruit participants: Once you have your research question and design, you need to recruit participants. The number of participants you need will depend on your research design and the scope of your research. You can recruit participants through advertisements, social media, or through personal networks.
• Collect data: There are different methods for collecting qualitative data, including interviews, focus groups, observation, and document analysis. You should select the method or methods that align with your research design and that will allow you to gather the data you need to answer your research question.
• Analyze data: Once you have collected your data, you need to analyze it. This involves reviewing your data, identifying patterns and themes, and developing codes to organize your data. You can use different software programs to help you analyze your data, or you can do it manually.
• Interpret data: Once you have analyzed your data, you need to interpret it. This involves making sense of the patterns and themes you have identified, and developing insights and conclusions that answer your research question. You should be guided by your research question and use your data to support your conclusions.
• Communicate results: Once you have interpreted your data, you need to communicate your results. This can be done through academic papers, presentations, or reports. You should be clear and concise in your communication, and use examples and quotes from your data to support your findings.

Examples of Qualitative Research

Here are some real-time examples of qualitative research:

• Customer Feedback: A company may conduct qualitative research to understand the feedback and experiences of its customers. This may involve conducting focus groups or one-on-one interviews with customers to gather insights into their attitudes, behaviors, and preferences.
• Healthcare : A healthcare provider may conduct qualitative research to explore patient experiences and perspectives on health and illness. This may involve conducting in-depth interviews with patients and their families to gather information on their experiences with different health care providers and treatments.
• Education : An educational institution may conduct qualitative research to understand student experiences and to develop effective teaching strategies. This may involve conducting classroom observations and interviews with students and teachers to gather insights into classroom dynamics and instructional practices.
• Social Work: A social worker may conduct qualitative research to explore social problems and to develop interventions to address them. This may involve conducting in-depth interviews with individuals and families to understand their experiences with poverty, discrimination, and other social problems.
• Anthropology : An anthropologist may conduct qualitative research to understand different cultures and societies. This may involve conducting ethnographic studies and observing and interviewing members of different cultural groups to gain insights into their beliefs, practices, and social structures.
• Psychology : A psychologist may conduct qualitative research to understand human behavior and mental processes. This may involve conducting in-depth interviews with individuals to explore their thoughts, feelings, and experiences.
• Public Policy: A government agency or non-profit organization may conduct qualitative research to explore public attitudes and to inform policy decisions. This may involve conducting focus groups and one-on-one interviews with members of the public to gather insights into their perspectives on different policy issues.

Purpose of Qualitative Research

The purpose of qualitative research is to explore and understand the subjective experiences, behaviors, and perspectives of individuals or groups in a particular context. Unlike quantitative research, which focuses on numerical data and statistical analysis, qualitative research aims to provide in-depth, descriptive information that can help researchers develop insights and theories about complex social phenomena.

Qualitative research can serve multiple purposes, including:

• Exploring new or emerging phenomena : Qualitative research can be useful for exploring new or emerging phenomena, such as new technologies or social trends. This type of research can help researchers develop a deeper understanding of these phenomena and identify potential areas for further study.
• Understanding complex social phenomena : Qualitative research can be useful for exploring complex social phenomena, such as cultural beliefs, social norms, or political processes. This type of research can help researchers develop a more nuanced understanding of these phenomena and identify factors that may influence them.
• Generating new theories or hypotheses: Qualitative research can be useful for generating new theories or hypotheses about social phenomena. By gathering rich, detailed data about individuals’ experiences and perspectives, researchers can develop insights that may challenge existing theories or lead to new lines of inquiry.
• Providing context for quantitative data: Qualitative research can be useful for providing context for quantitative data. By gathering qualitative data alongside quantitative data, researchers can develop a more complete understanding of complex social phenomena and identify potential explanations for quantitative findings.

When to use Qualitative Research

Here are some situations where qualitative research may be appropriate:

• Exploring a new area: If little is known about a particular topic, qualitative research can help to identify key issues, generate hypotheses, and develop new theories.
• Understanding complex phenomena: Qualitative research can be used to investigate complex social, cultural, or organizational phenomena that are difficult to measure quantitatively.
• Investigating subjective experiences: Qualitative research is particularly useful for investigating the subjective experiences of individuals or groups, such as their attitudes, beliefs, values, or emotions.
• Conducting formative research: Qualitative research can be used in the early stages of a research project to develop research questions, identify potential research participants, and refine research methods.
• Evaluating interventions or programs: Qualitative research can be used to evaluate the effectiveness of interventions or programs by collecting data on participants’ experiences, attitudes, and behaviors.

Characteristics of Qualitative Research

Qualitative research is characterized by several key features, including:

• Focus on subjective experience: Qualitative research is concerned with understanding the subjective experiences, beliefs, and perspectives of individuals or groups in a particular context. Researchers aim to explore the meanings that people attach to their experiences and to understand the social and cultural factors that shape these meanings.
• Use of open-ended questions: Qualitative research relies on open-ended questions that allow participants to provide detailed, in-depth responses. Researchers seek to elicit rich, descriptive data that can provide insights into participants’ experiences and perspectives.
• Sampling-based on purpose and diversity: Qualitative research often involves purposive sampling, in which participants are selected based on specific criteria related to the research question. Researchers may also seek to include participants with diverse experiences and perspectives to capture a range of viewpoints.
• Data collection through multiple methods: Qualitative research typically involves the use of multiple data collection methods, such as in-depth interviews, focus groups, and observation. This allows researchers to gather rich, detailed data from multiple sources, which can provide a more complete picture of participants’ experiences and perspectives.
• Inductive data analysis: Qualitative research relies on inductive data analysis, in which researchers develop theories and insights based on the data rather than testing pre-existing hypotheses. Researchers use coding and thematic analysis to identify patterns and themes in the data and to develop theories and explanations based on these patterns.
• Emphasis on researcher reflexivity: Qualitative research recognizes the importance of the researcher’s role in shaping the research process and outcomes. Researchers are encouraged to reflect on their own biases and assumptions and to be transparent about their role in the research process.

Advantages of Qualitative Research

Qualitative research offers several advantages over other research methods, including:

• Depth and detail: Qualitative research allows researchers to gather rich, detailed data that provides a deeper understanding of complex social phenomena. Through in-depth interviews, focus groups, and observation, researchers can gather detailed information about participants’ experiences and perspectives that may be missed by other research methods.
• Flexibility : Qualitative research is a flexible approach that allows researchers to adapt their methods to the research question and context. Researchers can adjust their research methods in real-time to gather more information or explore unexpected findings.
• Contextual understanding: Qualitative research is well-suited to exploring the social and cultural context in which individuals or groups are situated. Researchers can gather information about cultural norms, social structures, and historical events that may influence participants’ experiences and perspectives.
• Participant perspective : Qualitative research prioritizes the perspective of participants, allowing researchers to explore subjective experiences and understand the meanings that participants attach to their experiences.
• Theory development: Qualitative research can contribute to the development of new theories and insights about complex social phenomena. By gathering rich, detailed data and using inductive data analysis, researchers can develop new theories and explanations that may challenge existing understandings.
• Validity : Qualitative research can offer high validity by using multiple data collection methods, purposive and diverse sampling, and researcher reflexivity. This can help ensure that findings are credible and trustworthy.

Limitations of Qualitative Research

Qualitative research also has some limitations, including:

• Subjectivity : Qualitative research relies on the subjective interpretation of researchers, which can introduce bias into the research process. The researcher’s perspective, beliefs, and experiences can influence the way data is collected, analyzed, and interpreted.
• Limited generalizability: Qualitative research typically involves small, purposive samples that may not be representative of larger populations. This limits the generalizability of findings to other contexts or populations.
• Time-consuming: Qualitative research can be a time-consuming process, requiring significant resources for data collection, analysis, and interpretation.
• Resource-intensive: Qualitative research may require more resources than other research methods, including specialized training for researchers, specialized software for data analysis, and transcription services.
• Limited reliability: Qualitative research may be less reliable than quantitative research, as it relies on the subjective interpretation of researchers. This can make it difficult to replicate findings or compare results across different studies.
• Ethics and confidentiality: Qualitative research involves collecting sensitive information from participants, which raises ethical concerns about confidentiality and informed consent. Researchers must take care to protect the privacy and confidentiality of participants and obtain informed consent.

Also see Research Methods

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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A Practical Guide to Writing Quantitative and Qualitative Research Questions and Hypotheses in Scholarly Articles

Edward barroga.

1 Department of General Education, Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan.

Glafera Janet Matanguihan

2 Department of Biological Sciences, Messiah University, Mechanicsburg, PA, USA.

The development of research questions and the subsequent hypotheses are prerequisites to defining the main research purpose and specific objectives of a study. Consequently, these objectives determine the study design and research outcome. The development of research questions is a process based on knowledge of current trends, cutting-edge studies, and technological advances in the research field. Excellent research questions are focused and require a comprehensive literature search and in-depth understanding of the problem being investigated. Initially, research questions may be written as descriptive questions which could be developed into inferential questions. These questions must be specific and concise to provide a clear foundation for developing hypotheses. Hypotheses are more formal predictions about the research outcomes. These specify the possible results that may or may not be expected regarding the relationship between groups. Thus, research questions and hypotheses clarify the main purpose and specific objectives of the study, which in turn dictate the design of the study, its direction, and outcome. Studies developed from good research questions and hypotheses will have trustworthy outcomes with wide-ranging social and health implications.

INTRODUCTION

Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses. 1 , 2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results. 3 , 4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the inception of novel studies and the ethical testing of ideas. 5 , 6

It is crucial to have knowledge of both quantitative and qualitative research 2 as both types of research involve writing research questions and hypotheses. 7 However, these crucial elements of research are sometimes overlooked; if not overlooked, then framed without the forethought and meticulous attention it needs. Planning and careful consideration are needed when developing quantitative or qualitative research, particularly when conceptualizing research questions and hypotheses. 4

There is a continuing need to support researchers in the creation of innovative research questions and hypotheses, as well as for journal articles that carefully review these elements. 1 When research questions and hypotheses are not carefully thought of, unethical studies and poor outcomes usually ensue. Carefully formulated research questions and hypotheses define well-founded objectives, which in turn determine the appropriate design, course, and outcome of the study. This article then aims to discuss in detail the various aspects of crafting research questions and hypotheses, with the goal of guiding researchers as they develop their own. Examples from the authors and peer-reviewed scientific articles in the healthcare field are provided to illustrate key points.

DEFINITIONS AND RELATIONSHIP OF RESEARCH QUESTIONS AND HYPOTHESES

A research question is what a study aims to answer after data analysis and interpretation. The answer is written in length in the discussion section of the paper. Thus, the research question gives a preview of the different parts and variables of the study meant to address the problem posed in the research question. 1 An excellent research question clarifies the research writing while facilitating understanding of the research topic, objective, scope, and limitations of the study. 5

On the other hand, a research hypothesis is an educated statement of an expected outcome. This statement is based on background research and current knowledge. 8 , 9 The research hypothesis makes a specific prediction about a new phenomenon 10 or a formal statement on the expected relationship between an independent variable and a dependent variable. 3 , 11 It provides a tentative answer to the research question to be tested or explored. 4

Hypotheses employ reasoning to predict a theory-based outcome. 10 These can also be developed from theories by focusing on components of theories that have not yet been observed. 10 The validity of hypotheses is often based on the testability of the prediction made in a reproducible experiment. 8

Conversely, hypotheses can also be rephrased as research questions. Several hypotheses based on existing theories and knowledge may be needed to answer a research question. Developing ethical research questions and hypotheses creates a research design that has logical relationships among variables. These relationships serve as a solid foundation for the conduct of the study. 4 , 11 Haphazardly constructed research questions can result in poorly formulated hypotheses and improper study designs, leading to unreliable results. Thus, the formulations of relevant research questions and verifiable hypotheses are crucial when beginning research. 12

CHARACTERISTICS OF GOOD RESEARCH QUESTIONS AND HYPOTHESES

Excellent research questions are specific and focused. These integrate collective data and observations to confirm or refute the subsequent hypotheses. Well-constructed hypotheses are based on previous reports and verify the research context. These are realistic, in-depth, sufficiently complex, and reproducible. More importantly, these hypotheses can be addressed and tested. 13

There are several characteristics of well-developed hypotheses. Good hypotheses are 1) empirically testable 7 , 10 , 11 , 13 ; 2) backed by preliminary evidence 9 ; 3) testable by ethical research 7 , 9 ; 4) based on original ideas 9 ; 5) have evidenced-based logical reasoning 10 ; and 6) can be predicted. 11 Good hypotheses can infer ethical and positive implications, indicating the presence of a relationship or effect relevant to the research theme. 7 , 11 These are initially developed from a general theory and branch into specific hypotheses by deductive reasoning. In the absence of a theory to base the hypotheses, inductive reasoning based on specific observations or findings form more general hypotheses. 10

TYPES OF RESEARCH QUESTIONS AND HYPOTHESES

Research questions and hypotheses are developed according to the type of research, which can be broadly classified into quantitative and qualitative research. We provide a summary of the types of research questions and hypotheses under quantitative and qualitative research categories in Table 1 .

Research questions in quantitative research

In quantitative research, research questions inquire about the relationships among variables being investigated and are usually framed at the start of the study. These are precise and typically linked to the subject population, dependent and independent variables, and research design. 1 Research questions may also attempt to describe the behavior of a population in relation to one or more variables, or describe the characteristics of variables to be measured ( descriptive research questions ). 1 , 5 , 14 These questions may also aim to discover differences between groups within the context of an outcome variable ( comparative research questions ), 1 , 5 , 14 or elucidate trends and interactions among variables ( relationship research questions ). 1 , 5 We provide examples of descriptive, comparative, and relationship research questions in quantitative research in Table 2 .

Hypotheses in quantitative research

In quantitative research, hypotheses predict the expected relationships among variables. 15 Relationships among variables that can be predicted include 1) between a single dependent variable and a single independent variable ( simple hypothesis ) or 2) between two or more independent and dependent variables ( complex hypothesis ). 4 , 11 Hypotheses may also specify the expected direction to be followed and imply an intellectual commitment to a particular outcome ( directional hypothesis ) 4 . On the other hand, hypotheses may not predict the exact direction and are used in the absence of a theory, or when findings contradict previous studies ( non-directional hypothesis ). 4 In addition, hypotheses can 1) define interdependency between variables ( associative hypothesis ), 4 2) propose an effect on the dependent variable from manipulation of the independent variable ( causal hypothesis ), 4 3) state a negative relationship between two variables ( null hypothesis ), 4 , 11 , 15 4) replace the working hypothesis if rejected ( alternative hypothesis ), 15 explain the relationship of phenomena to possibly generate a theory ( working hypothesis ), 11 5) involve quantifiable variables that can be tested statistically ( statistical hypothesis ), 11 6) or express a relationship whose interlinks can be verified logically ( logical hypothesis ). 11 We provide examples of simple, complex, directional, non-directional, associative, causal, null, alternative, working, statistical, and logical hypotheses in quantitative research, as well as the definition of quantitative hypothesis-testing research in Table 3 .

Research questions in qualitative research

Unlike research questions in quantitative research, research questions in qualitative research are usually continuously reviewed and reformulated. The central question and associated subquestions are stated more than the hypotheses. 15 The central question broadly explores a complex set of factors surrounding the central phenomenon, aiming to present the varied perspectives of participants. 15

There are varied goals for which qualitative research questions are developed. These questions can function in several ways, such as to 1) identify and describe existing conditions ( contextual research question s); 2) describe a phenomenon ( descriptive research questions ); 3) assess the effectiveness of existing methods, protocols, theories, or procedures ( evaluation research questions ); 4) examine a phenomenon or analyze the reasons or relationships between subjects or phenomena ( explanatory research questions ); or 5) focus on unknown aspects of a particular topic ( exploratory research questions ). 5 In addition, some qualitative research questions provide new ideas for the development of theories and actions ( generative research questions ) or advance specific ideologies of a position ( ideological research questions ). 1 Other qualitative research questions may build on a body of existing literature and become working guidelines ( ethnographic research questions ). Research questions may also be broadly stated without specific reference to the existing literature or a typology of questions ( phenomenological research questions ), may be directed towards generating a theory of some process ( grounded theory questions ), or may address a description of the case and the emerging themes ( qualitative case study questions ). 15 We provide examples of contextual, descriptive, evaluation, explanatory, exploratory, generative, ideological, ethnographic, phenomenological, grounded theory, and qualitative case study research questions in qualitative research in Table 4 , and the definition of qualitative hypothesis-generating research in Table 5 .

Qualitative studies usually pose at least one central research question and several subquestions starting with How or What . These research questions use exploratory verbs such as explore or describe . These also focus on one central phenomenon of interest, and may mention the participants and research site. 15

Hypotheses in qualitative research

Hypotheses in qualitative research are stated in the form of a clear statement concerning the problem to be investigated. Unlike in quantitative research where hypotheses are usually developed to be tested, qualitative research can lead to both hypothesis-testing and hypothesis-generating outcomes. 2 When studies require both quantitative and qualitative research questions, this suggests an integrative process between both research methods wherein a single mixed-methods research question can be developed. 1

FRAMEWORKS FOR DEVELOPING RESEARCH QUESTIONS AND HYPOTHESES

Research questions followed by hypotheses should be developed before the start of the study. 1 , 12 , 14 It is crucial to develop feasible research questions on a topic that is interesting to both the researcher and the scientific community. This can be achieved by a meticulous review of previous and current studies to establish a novel topic. Specific areas are subsequently focused on to generate ethical research questions. The relevance of the research questions is evaluated in terms of clarity of the resulting data, specificity of the methodology, objectivity of the outcome, depth of the research, and impact of the study. 1 , 5 These aspects constitute the FINER criteria (i.e., Feasible, Interesting, Novel, Ethical, and Relevant). 1 Clarity and effectiveness are achieved if research questions meet the FINER criteria. In addition to the FINER criteria, Ratan et al. described focus, complexity, novelty, feasibility, and measurability for evaluating the effectiveness of research questions. 14

The PICOT and PEO frameworks are also used when developing research questions. 1 The following elements are addressed in these frameworks, PICOT: P-population/patients/problem, I-intervention or indicator being studied, C-comparison group, O-outcome of interest, and T-timeframe of the study; PEO: P-population being studied, E-exposure to preexisting conditions, and O-outcome of interest. 1 Research questions are also considered good if these meet the “FINERMAPS” framework: Feasible, Interesting, Novel, Ethical, Relevant, Manageable, Appropriate, Potential value/publishable, and Systematic. 14

As we indicated earlier, research questions and hypotheses that are not carefully formulated result in unethical studies or poor outcomes. To illustrate this, we provide some examples of ambiguous research question and hypotheses that result in unclear and weak research objectives in quantitative research ( Table 6 ) 16 and qualitative research ( Table 7 ) 17 , and how to transform these ambiguous research question(s) and hypothesis(es) into clear and good statements.

a These statements were composed for comparison and illustrative purposes only.

b These statements are direct quotes from Higashihara and Horiuchi. 16

a This statement is a direct quote from Shimoda et al. 17

The other statements were composed for comparison and illustrative purposes only.

CONSTRUCTING RESEARCH QUESTIONS AND HYPOTHESES

To construct effective research questions and hypotheses, it is very important to 1) clarify the background and 2) identify the research problem at the outset of the research, within a specific timeframe. 9 Then, 3) review or conduct preliminary research to collect all available knowledge about the possible research questions by studying theories and previous studies. 18 Afterwards, 4) construct research questions to investigate the research problem. Identify variables to be accessed from the research questions 4 and make operational definitions of constructs from the research problem and questions. Thereafter, 5) construct specific deductive or inductive predictions in the form of hypotheses. 4 Finally, 6) state the study aims . This general flow for constructing effective research questions and hypotheses prior to conducting research is shown in Fig. 1 .

Research questions are used more frequently in qualitative research than objectives or hypotheses. 3 These questions seek to discover, understand, explore or describe experiences by asking “What” or “How.” The questions are open-ended to elicit a description rather than to relate variables or compare groups. The questions are continually reviewed, reformulated, and changed during the qualitative study. 3 Research questions are also used more frequently in survey projects than hypotheses in experiments in quantitative research to compare variables and their relationships.

Hypotheses are constructed based on the variables identified and as an if-then statement, following the template, ‘If a specific action is taken, then a certain outcome is expected.’ At this stage, some ideas regarding expectations from the research to be conducted must be drawn. 18 Then, the variables to be manipulated (independent) and influenced (dependent) are defined. 4 Thereafter, the hypothesis is stated and refined, and reproducible data tailored to the hypothesis are identified, collected, and analyzed. 4 The hypotheses must be testable and specific, 18 and should describe the variables and their relationships, the specific group being studied, and the predicted research outcome. 18 Hypotheses construction involves a testable proposition to be deduced from theory, and independent and dependent variables to be separated and measured separately. 3 Therefore, good hypotheses must be based on good research questions constructed at the start of a study or trial. 12

In summary, research questions are constructed after establishing the background of the study. Hypotheses are then developed based on the research questions. Thus, it is crucial to have excellent research questions to generate superior hypotheses. In turn, these would determine the research objectives and the design of the study, and ultimately, the outcome of the research. 12 Algorithms for building research questions and hypotheses are shown in Fig. 2 for quantitative research and in Fig. 3 for qualitative research.

EXAMPLES OF RESEARCH QUESTIONS FROM PUBLISHED ARTICLES

• EXAMPLE 1. Descriptive research question (quantitative research)
• - Presents research variables to be assessed (distinct phenotypes and subphenotypes)
• “BACKGROUND: Since COVID-19 was identified, its clinical and biological heterogeneity has been recognized. Identifying COVID-19 phenotypes might help guide basic, clinical, and translational research efforts.
• RESEARCH QUESTION: Does the clinical spectrum of patients with COVID-19 contain distinct phenotypes and subphenotypes? ” 19
• EXAMPLE 2. Relationship research question (quantitative research)
• - Shows interactions between dependent variable (static postural control) and independent variable (peripheral visual field loss)
• “Background: Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear.
• Research question: What are the effects of peripheral visual field loss on static postural control ?” 20
• EXAMPLE 3. Comparative research question (quantitative research)
• - Clarifies the difference among groups with an outcome variable (patients enrolled in COMPERA with moderate PH or severe PH in COPD) and another group without the outcome variable (patients with idiopathic pulmonary arterial hypertension (IPAH))
• “BACKGROUND: Pulmonary hypertension (PH) in COPD is a poorly investigated clinical condition.
• RESEARCH QUESTION: Which factors determine the outcome of PH in COPD?
• STUDY DESIGN AND METHODS: We analyzed the characteristics and outcome of patients enrolled in the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) with moderate or severe PH in COPD as defined during the 6th PH World Symposium who received medical therapy for PH and compared them with patients with idiopathic pulmonary arterial hypertension (IPAH) .” 21
• EXAMPLE 4. Exploratory research question (qualitative research)
• - Explores areas that have not been fully investigated (perspectives of families and children who receive care in clinic-based child obesity treatment) to have a deeper understanding of the research problem
• “Problem: Interventions for children with obesity lead to only modest improvements in BMI and long-term outcomes, and data are limited on the perspectives of families of children with obesity in clinic-based treatment. This scoping review seeks to answer the question: What is known about the perspectives of families and children who receive care in clinic-based child obesity treatment? This review aims to explore the scope of perspectives reported by families of children with obesity who have received individualized outpatient clinic-based obesity treatment.” 22
• EXAMPLE 5. Relationship research question (quantitative research)
• - Defines interactions between dependent variable (use of ankle strategies) and independent variable (changes in muscle tone)
• “Background: To maintain an upright standing posture against external disturbances, the human body mainly employs two types of postural control strategies: “ankle strategy” and “hip strategy.” While it has been reported that the magnitude of the disturbance alters the use of postural control strategies, it has not been elucidated how the level of muscle tone, one of the crucial parameters of bodily function, determines the use of each strategy. We have previously confirmed using forward dynamics simulations of human musculoskeletal models that an increased muscle tone promotes the use of ankle strategies. The objective of the present study was to experimentally evaluate a hypothesis: an increased muscle tone promotes the use of ankle strategies. Research question: Do changes in the muscle tone affect the use of ankle strategies ?” 23

EXAMPLES OF HYPOTHESES IN PUBLISHED ARTICLES

• EXAMPLE 1. Working hypothesis (quantitative research)
• - A hypothesis that is initially accepted for further research to produce a feasible theory
• “As fever may have benefit in shortening the duration of viral illness, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response when taken during the early stages of COVID-19 illness .” 24
• “In conclusion, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response . The difference in perceived safety of these agents in COVID-19 illness could be related to the more potent efficacy to reduce fever with ibuprofen compared to acetaminophen. Compelling data on the benefit of fever warrant further research and review to determine when to treat or withhold ibuprofen for early stage fever for COVID-19 and other related viral illnesses .” 24
• EXAMPLE 2. Exploratory hypothesis (qualitative research)
• - Explores particular areas deeper to clarify subjective experience and develop a formal hypothesis potentially testable in a future quantitative approach
• “We hypothesized that when thinking about a past experience of help-seeking, a self distancing prompt would cause increased help-seeking intentions and more favorable help-seeking outcome expectations .” 25
• “Conclusion
• Although a priori hypotheses were not supported, further research is warranted as results indicate the potential for using self-distancing approaches to increasing help-seeking among some people with depressive symptomatology.” 25
• EXAMPLE 3. Hypothesis-generating research to establish a framework for hypothesis testing (qualitative research)
• “We hypothesize that compassionate care is beneficial for patients (better outcomes), healthcare systems and payers (lower costs), and healthcare providers (lower burnout). ” 26
• Compassionomics is the branch of knowledge and scientific study of the effects of compassionate healthcare. Our main hypotheses are that compassionate healthcare is beneficial for (1) patients, by improving clinical outcomes, (2) healthcare systems and payers, by supporting financial sustainability, and (3) HCPs, by lowering burnout and promoting resilience and well-being. The purpose of this paper is to establish a scientific framework for testing the hypotheses above . If these hypotheses are confirmed through rigorous research, compassionomics will belong in the science of evidence-based medicine, with major implications for all healthcare domains.” 26
• EXAMPLE 4. Statistical hypothesis (quantitative research)
• - An assumption is made about the relationship among several population characteristics ( gender differences in sociodemographic and clinical characteristics of adults with ADHD ). Validity is tested by statistical experiment or analysis ( chi-square test, Students t-test, and logistic regression analysis)
• “Our research investigated gender differences in sociodemographic and clinical characteristics of adults with ADHD in a Japanese clinical sample. Due to unique Japanese cultural ideals and expectations of women's behavior that are in opposition to ADHD symptoms, we hypothesized that women with ADHD experience more difficulties and present more dysfunctions than men . We tested the following hypotheses: first, women with ADHD have more comorbidities than men with ADHD; second, women with ADHD experience more social hardships than men, such as having less full-time employment and being more likely to be divorced.” 27
• “Statistical Analysis
• ( text omitted ) Between-gender comparisons were made using the chi-squared test for categorical variables and Students t-test for continuous variables…( text omitted ). A logistic regression analysis was performed for employment status, marital status, and comorbidity to evaluate the independent effects of gender on these dependent variables.” 27

EXAMPLES OF HYPOTHESIS AS WRITTEN IN PUBLISHED ARTICLES IN RELATION TO OTHER PARTS

• EXAMPLE 1. Background, hypotheses, and aims are provided
• “Pregnant women need skilled care during pregnancy and childbirth, but that skilled care is often delayed in some countries …( text omitted ). The focused antenatal care (FANC) model of WHO recommends that nurses provide information or counseling to all pregnant women …( text omitted ). Job aids are visual support materials that provide the right kind of information using graphics and words in a simple and yet effective manner. When nurses are not highly trained or have many work details to attend to, these job aids can serve as a content reminder for the nurses and can be used for educating their patients (Jennings, Yebadokpo, Affo, & Agbogbe, 2010) ( text omitted ). Importantly, additional evidence is needed to confirm how job aids can further improve the quality of ANC counseling by health workers in maternal care …( text omitted )” 28
• “ This has led us to hypothesize that the quality of ANC counseling would be better if supported by job aids. Consequently, a better quality of ANC counseling is expected to produce higher levels of awareness concerning the danger signs of pregnancy and a more favorable impression of the caring behavior of nurses .” 28
• “This study aimed to examine the differences in the responses of pregnant women to a job aid-supported intervention during ANC visit in terms of 1) their understanding of the danger signs of pregnancy and 2) their impression of the caring behaviors of nurses to pregnant women in rural Tanzania.” 28
• EXAMPLE 2. Background, hypotheses, and aims are provided
• “We conducted a two-arm randomized controlled trial (RCT) to evaluate and compare changes in salivary cortisol and oxytocin levels of first-time pregnant women between experimental and control groups. The women in the experimental group touched and held an infant for 30 min (experimental intervention protocol), whereas those in the control group watched a DVD movie of an infant (control intervention protocol). The primary outcome was salivary cortisol level and the secondary outcome was salivary oxytocin level.” 29
• “ We hypothesize that at 30 min after touching and holding an infant, the salivary cortisol level will significantly decrease and the salivary oxytocin level will increase in the experimental group compared with the control group .” 29
• EXAMPLE 3. Background, aim, and hypothesis are provided
• “In countries where the maternal mortality ratio remains high, antenatal education to increase Birth Preparedness and Complication Readiness (BPCR) is considered one of the top priorities [1]. BPCR includes birth plans during the antenatal period, such as the birthplace, birth attendant, transportation, health facility for complications, expenses, and birth materials, as well as family coordination to achieve such birth plans. In Tanzania, although increasing, only about half of all pregnant women attend an antenatal clinic more than four times [4]. Moreover, the information provided during antenatal care (ANC) is insufficient. In the resource-poor settings, antenatal group education is a potential approach because of the limited time for individual counseling at antenatal clinics.” 30
• “This study aimed to evaluate an antenatal group education program among pregnant women and their families with respect to birth-preparedness and maternal and infant outcomes in rural villages of Tanzania.” 30
• “ The study hypothesis was if Tanzanian pregnant women and their families received a family-oriented antenatal group education, they would (1) have a higher level of BPCR, (2) attend antenatal clinic four or more times, (3) give birth in a health facility, (4) have less complications of women at birth, and (5) have less complications and deaths of infants than those who did not receive the education .” 30

Research questions and hypotheses are crucial components to any type of research, whether quantitative or qualitative. These questions should be developed at the very beginning of the study. Excellent research questions lead to superior hypotheses, which, like a compass, set the direction of research, and can often determine the successful conduct of the study. Many research studies have floundered because the development of research questions and subsequent hypotheses was not given the thought and meticulous attention needed. The development of research questions and hypotheses is an iterative process based on extensive knowledge of the literature and insightful grasp of the knowledge gap. Focused, concise, and specific research questions provide a strong foundation for constructing hypotheses which serve as formal predictions about the research outcomes. Research questions and hypotheses are crucial elements of research that should not be overlooked. They should be carefully thought of and constructed when planning research. This avoids unethical studies and poor outcomes by defining well-founded objectives that determine the design, course, and outcome of the study.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

• Conceptualization: Barroga E, Matanguihan GJ.
• Methodology: Barroga E, Matanguihan GJ.
• Writing - original draft: Barroga E, Matanguihan GJ.
• Writing - review & editing: Barroga E, Matanguihan GJ.

• Open access
• Published: 20 February 2015

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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Qualitative Research: Methods and Examples

Qualitative research is one of the most common methods of gathering information. Often used by social scientists, it finds application…

Qualitative research is one of the most common methods of gathering information. Often used by social scientists, it finds application in several other fields. It involves studying data collected from individuals’ experiences or observations. It’s an exploratory, open-ended approach to knowledge-building that entails positing a theory, gathering evidence, drawing conclusions and generating meaning.

Qualitative research methods rely on subjective collection of data. This approach requires in-depth research involving groups of people for conversations or observation. The aim is to record their views, feelings and opinions before a researcher decides what conclusions to draw from them.

Definition Of Qualitative Research

Qualitative research methodology, advantages and disadvantages of qualitative research.

Want to know more about what is qualitative research? Let’s dive in.

Qualitative research methods are ideal for understanding phenomena that can’t be standardized or quantified. This is where they differ from methods used in the other dominant research—quantitative research.

When researchers want to study a phenomenon that can be easily translated into numbers, they opt for quantitative research. The meaning of qualitative research is that it can be used to understand the world beyond numbers. Ideas, thoughts, feelings and perceptions can all be tackled through qualitative research methodology.

You can use these two kinds of research separately or together to understand the subject of your study. Qualitative research allows you to draw inferences, form hypotheses and then test them, just like quantitative research. Moreover, you may notice threads in responses that might be overlooked by researchers focused on statistical significance.

The qualitative research methodology is chosen depending upon three factors:

• The purpose of the research
• The characteristics of the person who might be involved in the process (respondent, observer, participant)
• The nature of the unit (an individual or a group)

These scenarios will help you better understand the definition of qualitative research:

• The study of problems in business or public policy by collecting what people say about their experiences.
• Studies on social change and practices.
• Attempts to learn how customers feel about a certain product or service and what they would like to see changed, improved or offered in the future.
• Insights on customer preference before starting the development process for a new product.
• Studies on markets and current trends in an industry.
• Learning what customers think of an organization or brand.
• Finding out how customers act or react to changes in products, services or markets.
• Studying the impact of promotional activities on customers.

Quantitative research can provide a rudimentary understanding in these examples of qualitative research. But, to gather deeper insights and information that gives the complete picture, qualitative research adds another dimension to our knowledge.

Examples of qualitative research are many. It’s easy to demonstrate how useful it can be. ( Clonazepam ) It can capture much richer data and more subtle phenomena than quantitative methods. Doing this thoroughly and fairly can present several challenges. The following are examples of qualitative research methods:

1. Personal Interviews

This technique involves the researcher interacting with primary or secondary source respondents to collect information or data for analysis or interpretation of an issue. The researcher has a preconceived idea about the individuals being interviewed and the type of information they might offer. This technique is often used in surveys to get information or data for analysis. It can be quick or time-consuming, depending on the subject matter.

2. Observation

There are two types of observations: participant observation and independent observation. In participant observation, the researcher gets involved in the daily activities of participants they’re observing. They work with the cohort to gain its trust alongside the study. Independent observers are simply observers who aren’t part of an ongoing relationship with participants being observed. They don’t impact their environment in any way for the duration of the study.

3. Ethnographic Research

This is a more immersive version of observation where researchers are embedded in the society or group they’re studying for an extended period of time. It’s a practice that grew out of sociological research but is now applied elsewhere as well.

4. Focus Group Discussion

A focus group is a set of people brought together to take part in a discussion on a specific topic. Their discussion points, interaction and reactions can all be recorded for study. For example, there could be a focus group of 10 people discussing their views on the rough cut of a film. Often, studios will conduct such discussions and then suggest changes to the director if the audience doesn’t respond to the existing footage in the desired way.

5. Case Study Research

Case studies are descriptive, in-depth analyses of individuals, groups, events and experiences. They’re written by the researcher, but they take the viewpoint of an individual respondent.

6. Study Of Existing Literature

Qualitative research methods are used to study the existing work on a subject, often before a new study is conducted. In some cases, it can form a part of the report. It can also comprise the entire research if the subject calls for it. For instance, a study of the colonial impact on recorded history might only involve examining existing written history books.

While these are the common qualitative research methods , various tools can be used to conduct and record the findings. For instance, interviews can be conducted through a survey and recorded through a questionnaire. Respondents might also be recorded in audio or video formats.

The true meaning of qualitative research is realized when respondents’ voices are heard. This is most powerful when the researcher lets the data speak for itself and doesn’t force it into pre-existing theories. However, as with all research, it’s necessary to verify the assumptions by testing the same hypotheses using other research designs.

There are certain subjects of study that lend themselves well to numbers. For instance, in studying the efficacy of a vaccine in keeping patients out of hospitals with a disease, quantitative data is the need of the hour. However, to study its side-effects, a combination of quantitative data and qualitative data is necessary. Relying too heavily on one method when you need a balanced approach leads to problems. Let’s take a closer look at some pitfalls of qualitative data:

• Qualitative research can be overused. This can lead to data that is so broad that it’s hard to pinpoint what it means. It can also be hard to find facts within the data that has been collected
• Qualitative research can be too subjective. This makes it difficult to reach a consensus as the data will vary from researcher to researcher and reader to reader
• Some have argued that qualitative research is better than quantitative research because it provides a depth of understanding that numbers can’t. This is the result of detailed data analysis, which is a much more insightful and rigorous process than what’s possible with quantitative methods. However, only quantification can render an issue in a logical form that’s comparable with other phenomena to find patterns and structures
• The scientific method requires that the results of studies be replicated. Often, with qualitative research , this just isn’t possible

But the advantages of qualitative research are equally notable. Let’s end by summing up its plus points:

• It provides rich observations that are difficult to obtain with just quantitative data
• It allows for the study of issues that are too complex to break down, such as policy issues, business dynamics and change management
• Data analysis makes it easier for researchers to identify patterns in complex phenomena
• It’s more reflective and provides possibilities for further understanding and exploration
• Data collection is more open. Qualitative data can be gathered from as many subjects as possible
• More time is spent in data analysis within context, which allows the researcher to find patterns and meaning behind the subjects, words and events described. Qualitative research allows the researcher to be more open-minded about the results of the study as it provides them with new insights into what they’re researching
• Qualitative research provides an opportunity to identify problems in a field and recommend solutions
• Qualitative research methods can be more cost-effective than quantitative research

Learning to work with data from research is a skill that will hold every manager in good stead. Understanding what is qualitative research and how it can be used will help you break down complex problems and analyze what’s the best move for the future. It encourages decision-making and leadership with vision and purpose. With Harappa’s Thinking Critically course, learners will master all this and more with our experienced faculty showing the way. Help your teams work smarter today.

Explore Harappa Diaries to learn more about topics such as Objectives Of Research Methodology , Examples Of Experimental Research , Case Study Research Methods and Importance Of Critical Thinking to upgrade your knowledge and skills.

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Qualitative Research: Definition, Methodology, Limitation, Examples

Qualitative research is a method focused on understanding human behavior and experiences through non-numerical data. Examples of qualitative research include:

• One-on-one interviews,
• Focus groups, Ethnographic research,
• Case studies,
• Record keeping,
• Qualitative observations

In this article, we’ll provide tips and tricks on how to use qualitative research to better understand your audience through real world examples and improve your ROI. We’ll also learn the difference between qualitative and quantitative data.

Table of Contents

Marketers often seek to understand their customers deeply. Qualitative research methods such as face-to-face interviews, focus groups, and qualitative observations can provide valuable insights into your products, your market, and your customers’ opinions and motivations. Understanding these nuances can significantly enhance marketing strategies and overall customer satisfaction.

What is Qualitative Research

Qualitative research is a market research method that focuses on obtaining data through open-ended and conversational communication. This method focuses on the “why” rather than the “what” people think about you. Thus, qualitative research seeks to uncover the underlying motivations, attitudes, and beliefs that drive people’s actions. 

Let’s say you have an online shop catering to a general audience. You do a demographic analysis and you find out that most of your customers are male. Naturally, you will want to find out why women are not buying from you. And that’s what qualitative research will help you find out.

In the case of your online shop, qualitative research would involve reaching out to female non-customers through methods such as in-depth interviews or focus groups. These interactions provide a platform for women to express their thoughts, feelings, and concerns regarding your products or brand. Through qualitative analysis, you can uncover valuable insights into factors such as product preferences, user experience, brand perception, and barriers to purchase.

Types of Qualitative Research Methods

1. one-on-one interviews.

• A company might conduct interviews to understand why a product failed to meet sales expectations.
• A researcher might use interviews to gather personal stories about experiences with healthcare.

2. Focus groups

• A focus group could be used to test reactions to a new product concept.
• Marketers might use focus groups to see how different demographic groups react to an advertising campaign.

3. Ethnographic research

• A study of workplace culture within a tech startup.
• Observational research in a remote village to understand local traditions.

4. Case study research

• Analyzing a single school’s innovative teaching method.
• A detailed study of a patient’s medical treatment over several years.

H3: 5. Record keeping

• Historical research using old newspapers and letters.
• A study on policy changes over the years by examining government records.

6. Qualitative observation

• Sight : Observing the way customers visually interact with product displays in a store to understand their browsing behaviors and preferences.
• Smell : Noting reactions of consumers to different scents in a fragrance shop to study the impact of olfactory elements on product preference.
• Touch : Watching how individuals interact with different materials in a clothing store to assess the importance of texture in fabric selection.
• Taste : Evaluating reactions of participants in a taste test to identify flavor profiles that appeal to different demographic groups.
• Hearing : Documenting responses to changes in background music within a retail environment to determine its effect on shopping behavior and mood.

Qualitative Research Real World Examples

1. online grocery shop with a predominantly male audience, 2. software company launching a new product, 3. alan pushkin’s “god’s choice: the total world of a fundamentalist christian school”, 4. understanding buyers’ trends, 5. determining products/services missing from the market, real-time customer lifetime value (clv) benchmark report.

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Qualitative Research Approaches

• Narrative : This method focuses on individual life stories to understand personal experiences and journeys. It examines how people structure their stories and the themes within them to explore human existence. For example, a narrative study might look at cancer survivors to understand their resilience and coping strategies.
• Phenomenology : attempts to understand or explain life experiences or phenomena; It aims to reveal the depth of human consciousness and perception, such as by studying the daily lives of those with chronic illnesses.
• Grounded theory : investigates the process, action, or interaction with the goal of developing a theory “grounded” in observations and empirical data. 
• Ethnography : describes and interprets an ethnic, cultural, or social group;
• Case study : examines episodic events in a definable framework, develops in-depth analyses of single or multiple cases, and generally explains “how”. An example might be studying a community health program to evaluate its success and impact.

How to Analyze Qualitative Data

1. data collection, 2. data preparation, 3. familiarization.

• Descriptive Coding : Summarize the primary topic of the data.
• In Vivo Coding : Use language and terms used by the participants themselves.
• Process Coding : Use gerunds (“-ing” words) to label the processes at play.
• Emotion Coding : Identify and record the emotions conveyed or experienced.

5. Thematic Development

6. interpreting the data, 7. validation, 8. reporting, limitations of qualitative research, 1. it’s a time-consuming process, 2. you can’t verify the results of qualitative research, 3. it’s a labor-intensive approach, 4. it’s difficult to investigate causality, 5. qualitative research is not statistically representative, quantitative vs. qualitative research.

Image source

Nature of Data:

• Quantitative research : Involves numerical data that can be measured and analyzed statistically.
• Qualitative research : Focuses on non-numerical data, such as words, images, and observations, to capture subjective experiences and meanings.

Research Questions:

• Quantitative research : Typically addresses questions related to “how many,” “how much,” or “to what extent,” aiming to quantify relationships and patterns.
• Qualitative research: Explores questions related to “why” and “how,” aiming to understand the underlying motivations, beliefs, and perceptions of individuals.

Data Collection Methods:

• Quantitative research : Relies on structured surveys, experiments, or observations with predefined variables and measures.
• Qualitative research : Utilizes open-ended interviews, focus groups, participant observations, and textual analysis to gather rich, contextually nuanced data.

Analysis Techniques:

• Quantitative research: Involves statistical analysis to identify correlations, associations, or differences between variables.
• Qualitative research: Employs thematic analysis, coding, and interpretation to uncover patterns, themes, and insights within qualitative data.

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Home > ETD > Doctoral > 5521

Doctoral Dissertations and Projects

Experiences of teachers who have taught physical education remotely: a qualitative study.

Danielle Causer Brabston , Liberty University Follow

School of Education

Doctor of Philosophy in Education (PhD)

Katelynn Wheeler

Remote education, online physical education, physical education, remote physical education, online learning, physical education teachers

Disciplines

Education | Health and Physical Education

Recommended Citation

Brabston, Danielle Causer, "Experiences of Teachers Who Have Taught Physical Education Remotely: A Qualitative Study" (2024). Doctoral Dissertations and Projects . 5521. https://digitalcommons.liberty.edu/doctoral/5521

The purpose of this qualitative phenomenological study was to understand and describe the essence of the experiences of teachers who have taught physical education remotely. The problem is physical education is a core curriculum subject that is designed for in-person instruction and is not easily adaptable to an online setting. The central research question that this study sought to address was what are the experiences of K-12 physical education teachers who taught P.E. remotely? The theory guiding of this study is Dabrowski’s theory of positive disintegration as it details how people can adapt and adjust in response to stressful situations and adverse events. I chose a phenomenological research method with an exploratory focus. This study was vital to understanding the experiences of teachers who taught physical education in a remote setting. This type of design was most appropriate for this study because understanding the perspectives of the participants was important to be able to identify the unique challenges of the group being studied. The sample size was 10 participants from schools across the United States who have taught physical education remotely for at least one year in a traditional K-12 school. The data collection included answers from the individual interview questions, and information gathered from the focus groups and questionnaires. To analyze the data, I used a form of manual coding. I looked for themes and patterns and significant statements. I then created a list of non-overlapping statements about how the interviewee experienced the phenomenon being studied. This information was used to draft answers to the research questions. The findings indicated that although teaching physical education remotely is challenging, teachers can adapt and find creative ways to address these challenges in order to provide the best possible educational experience for the student, even when teaching physical education remotely.

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