• DOI: 10.4300/JGME-D-15-00414.1
  • Corpus ID: 27469386

Choosing a Qualitative Research Approach.

  • Arianne Teherani , T. Martimianakis , +2 authors L. Varpio
  • Published in Journal of Graduate Medical… 2 December 2015
  • Education, Medicine

310 Citations

A practical guide for conducting qualitative research in medical education: part 2—coding and thematic analysis, design: selection of data collection methods., taking your qualitative research to the next level: a guide for the medical educator, qualitative research methods in medical education., using data from program evaluations for qualitative research., necessary groundwork: planning a strong grounded theory study., “value my culture, value me”: a case for culturally relevant mentoring in medical education and academic medicine, a writer's guide to education scholarship: qualitative education scholarship (part 2)., a volunteer passion: a qualitative look at how we measure and reward the work of medical educators, a novice's guide to qualitative health professions education research, 4 references, qualitative research for education: an introduction to theories and methods, am last page: a guide to research paradigms relevant to medical education., qualitative research for education : an introduction to theory and methods / by robert c. bogdan and sari knopp biklen, an introduction to the philosophy of methodology, related papers.

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AU - Teherani, Arianne

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AU - Varpio, Lara

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Qualitative Research Methods in Medical Education

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  • 1 From the Division of General Internal Medicine (A.P.S., T.J.B.) the Division of Hospital Internal Medicine (J.T.R.), Mayo Clinic, Rochester, Minnesota.
  • PMID: 31045898
  • DOI: 10.1097/ALN.0000000000002728

Qualitative research was originally developed within the social sciences. Medical education is a field that comprises multiple disciplines, including the social sciences, and utilizes qualitative research to gain a broader understanding of key phenomena within the field. Many clinician educators are unfamiliar with qualitative research. This article provides a primer for clinician educators who want to appraise or conduct qualitative research in medical education. This article discusses a definition and the philosophical underpinnings for qualitative research. Using the Standards for Reporting Qualitative Research as a guide, this article provides a step-wise approach for conducting and evaluating qualitative research in medical education. This review will enable the reader to understand when to utilize qualitative research in medical education and how to interpret reports using qualitative approaches.

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  • Box 1. What to Look for in Research Using This Method

What Is Qualitative Research?

Qualitative versus quantitative research, conducting and appraising qualitative research, conclusions, research support, competing interests, qualitative research methods in medical education.

Submitted for publication January 5, 2018. Accepted for publication November 29, 2018.

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Adam P. Sawatsky , John T. Ratelle , Thomas J. Beckman; Qualitative Research Methods in Medical Education. Anesthesiology 2019; 131:14–22 doi: https://doi.org/10.1097/ALN.0000000000002728

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Qualitative research was originally developed within the social sciences. Medical education is a field that comprises multiple disciplines, including the social sciences, and utilizes qualitative research to gain a broader understanding of key phenomena within the field. Many clinician educators are unfamiliar with qualitative research. This article provides a primer for clinician educators who want to appraise or conduct qualitative research in medical education. This article discusses a definition and the philosophical underpinnings for qualitative research. Using the Standards for Reporting Qualitative Research as a guide, this article provides a step-wise approach for conducting and evaluating qualitative research in medical education. This review will enable the reader to understand when to utilize qualitative research in medical education and how to interpret reports using qualitative approaches.

Image: J. P. Rathmell and Terri Navarette.

Image: J. P. Rathmell and Terri Navarette.

Qualitative research provides approaches to explore and characterize the education of future anesthesiologists. For example, the practice of anesthesiology is increasingly team-based; core members of the anesthesia care team include physicians, trainees, nurse anesthetists, anesthesiologist assistants, and other healthcare team members. 1   Understanding how to work within and how to teach learners about anesthesia care teams requires the ability to conceptualize the complexity of individual psychology and social interactions that occur within teams. Qualitative research is well suited to investigate complex issues like team-based care. For example, one qualitative study observed the interactions between members of the anesthesia care team during simulated stressful situations and conducted interviews of team members; they described limited understanding of each team member’s role and perceptions about appropriate roles and responsibilities, which provided insight for interprofessional team training. 2   Another qualitative study explored the hierarchy within the anesthesia care team, highlighting residents’ reluctance to challenge the established hierarchy and outlining the strategies they use to cope with fear and intimidation. 3   Key issues in medical education and anesthesiology, particularly when exploring human experience and social interactions, may be best studied using qualitative research methodologies and methods.

Medical education is a complex field, and medical education research and practice fittingly draws from many disciplines ( e.g. , medicine, psychology, sociology, education) and synthesizes multiple perspectives to explain how people learn and how medicine should be taught. 4 , 5   The concept of a field was well described by Cristancho and Varpio 5   in their tips for early career medical educators: “A discipline is usually guided by shared paradigms, assumptions, rules and methods to present their knowledge claims— i.e. , people from the same discipline speak the same language. A field brings people from multiple disciplines together.” Qualitative research draws from the perspectives of multiple disciplines and has provided methodologies to explore the complex research questions inherent to medical education.

When appraising qualitative research in medical education, do the authors:

Clearly state the study purpose and research question?

Describe the conceptual framework that inform the study and guide analysis?

Identify their qualitative methodology and research paradigm?

Demonstrate adequate reflexivity, conveying to the reader their values, assumptions and way of thinking, being explicit about the effects these ways of thinking have on the research process?

Choose data collection methods that are congruent with the research purpose and qualitative methodology?

Select an appropriate sampling strategy, choosing participants whose perspectives or experiences are relevant to the study question?

Define their method for determining saturation, how they decided to stop data collection?

Outline their process for data processing, including the management and coding of study data?

Conduct data analysis consistent with their chosen methodology?

Consider techniques to enhance trustworthiness of their study findings?

Synthesize and interpret their data with sufficient detail and supporting quotations to explain the phenomenon of study?

Current medical training is heavily influenced by the practice of evidence-based medicine. 6   Trainees are taught the “hierarchy of evidence” for evaluating studies of clinical interventions. 7   This hierarchy prioritizes knowledge gained through systematic reviews and meta-analyses, randomized controlled trials, and observational studies, but it does not include qualitative research methodologies. This means that because of their medical training and exposure to quantitative medical literature, clinician educators may be more familiar with quantitative research and feel more comfortable engaging in studies utilizing quantitative methodologies. However, many clinician educators are not familiar with the language and application of qualitative research and feel less comfortable engaging in studies using qualitative methodologies.

Because medical education is a diverse and complex field, qualitative research is a common approach in medical education research. Clinician educators who wish to understand the medical education literature need to be familiar with qualitative research. Clinician educators involved in research may also find themselves asking questions best answered by qualitative methodologies. Our goal is to provide a broad, practical overview of qualitative research in medical education. Our objectives are to:

1) Define qualitative research.

2) Compare and contrast qualitative and quantitative research.

3) Provide a framework for conducting and appraising qualitative research in medical education.

Qualitative research in medical education has a distinct vocabulary with terminology not commonly used in other biomedical research fields. Therefore, we have provided a glossary and definitions of the common terms that are used throughout this article ( table 1 ).

Glossary of Common Terms Used in Qualitative Research

Glossary of Common Terms Used in Qualitative Research

Of the many attempts to provide a comprehensive definition of qualitative research, our favorite definition comes from Denzin and Lincoln:

“Qualitative research is a situated activity that locates the observer in the world. Qualitative research consists of a set of interpretive, material practices that make the world visible. These practices…turn the world into a series of representations, including field notes, interviews, conversations, photographs, recordings, and memos to the self. At this level, qualitative research involves an interpretive, naturalistic approach to the world. This means that qualitative researchers study things in their natural settings, attempting to make sense of or interpret phenomena in terms of the meanings people bring to them.” 12  

This definition reveals the following points: first, qualitative research is a “situated activity,” meaning that the research and observations are made in the real world, in this case a real life clinical or educational situation. Second, qualitative research “turns the world into a series of representations” by representing the observations, in this case of a clinical or educational situation, with qualitative data, usually taking the form of words, pictures, documents, and other symbols. Last, qualitative researchers seek to “make sense” of the meanings that research participants bring to different phenomena to allow for a greater understanding of those phenomena. Through qualitative research, observers comprehend participants’ beliefs and values and the way these beliefs and values are shaped by the context in which they are studied.

Because most clinician educators are familiar with quantitative methods, we will start by comparing qualitative and quantitative methods to gain a better understanding of qualitative research ( table 2 ). To illustrate the difference between qualitative and quantitative research in medical education, we pose the question: “What makes noon conference lectures effective for resident learning?” A qualitative approach might explore the learner perspective on learning in noon conference lectures during residency and conduct an exploratory thematic analysis to better understand what the learner thinks is effective. 13   A qualitative approach is useful to answer this question, especially if the phenomenon of interest is incompletely understood. If we wanted to compare types or attributes of conferences to assess the most effective methods of teaching in a noon conference setting, then a quantitative approach might be more appropriate, though a qualitative approach could be helpful as well. We could use qualitative data to inform the design of a survey 14   or even inform the design of a randomized control trial to compare two types of learning during noon conference. 15   Therefore, when discussing qualitative and quantitative research, the issue is not which research approach is stronger, because it is understood that each approach yields different types of knowledge when answering the research question.

Comparisons of Quantitative and Qualitative Research in Medical Education

Comparisons of Quantitative and Qualitative Research in Medical Education

Similarities

The first step of any research project, qualitative or quantitative, is to determine and refine the study question; this includes conducting a thorough literature review, crafting a problem statement, establishing a conceptual framework for the study, and declaring a statement of intent. 16   A common pitfall in medical education research is to start by identifying the desired methods ( e.g. , “I want to do a focus group study with medical students.”) without having a clearly refined research question, which is like putting the cart before the horse. In other words, the research question should guide the methodology and methods for both qualitative and quantitative research.

Acknowledging the conceptual framework for a study is equally important for both qualitative and quantitative research. In a systematic review of medical education research, only 55% of studies provided a conceptual framework, limiting the interpretation and meaning of the results. 17   Conceptual frameworks are often theories that represent a way of thinking about the phenomenon being studied. Conceptual frameworks guide the interpretation of data and situate the study within the larger body of literature on a specific topic. 9   Because qualitative research was developed within the social sciences, many qualitative research studies in medical education are framed by theories from social sciences. Theories from social science disciplines have the ability to “open up new ways of seeing the world and, in turn, new questions to ask, new assumptions to unearth, and new possibilities for change.” 18   Qualitative research in medical education has benefitted from these new perspectives to help understand fundamental and complex problems within medical education such as culture, power, identity, and meaning.

Differences

The fundamental difference between qualitative and quantitative methodologies centers on epistemology ( i.e. , differing views on truth and knowledge). Cleland 19   describes the differences between qualitative and quantitative philosophies of scientific inquiry: “quantitative and qualitative approaches make different assumptions about the world, about how science should be conducted and about what constitutes legitimate problems, solutions and criteria of ‘proof.’”

Quantitative research comes from objectivism , an epistemology asserting that there is an absolute truth that can be discovered; this way of thinking about knowledge leads researchers to conduct experimental study designs aimed to test hypotheses about cause and effect. 10   Qualitative research, on the other hand, comes from constructivism , an epistemology asserting that reality is constructed by our social, historical, and individual contexts, and leads researchers to utilize more naturalistic or exploratory study designs to provide explanations about phenomenon in the context that they are being studied. 10   This leads researchers to ask fundamentally different questions about a given phenomenon; quantitative research often asks questions of “What?” and “Why?” to understand causation, whereas qualitative research often asks the questions “Why?” and “How?” to understand explanations. Cook et al. 20   provide a framework for classifying the purpose of medical education research to reflect the steps in the scientific method—description (“What was done?”), justification (“Did it work?”), and clarification (“Why or how did it work?”). Qualitative research nicely fits into the categories of “description” and “clarification” by describing observations in natural settings and developing models or theories to help explain “how” and “why” educational methods work. 20  

Another difference between quantitative and qualitative research is the role of the researcher in the research process. Experimental studies have explicitly stated methods for creating an “unbiased” study in which the researcher is detached ( i.e. , “blinded”) from the analysis process so that their biases do not shape the outcome of the research. 21   The term “bias” comes from the positivist paradigm underpinning quantitative research. Assessing and addressing “bias” in qualitative research is incongruous. 22   Qualitative research, based largely on a constructivist paradigm, acknowledges the role of the researcher as a “coconstructer” of knowledge and utilizes the concept of “reflexivity.” Because researchers act as coconstructors of knowledge, they must be explicit about the perspectives they bring to the research process. A reflexive researcher is one who challenges their own values, assumptions, and way of thinking and who is explicit about the effects these ways of thinking have on the research process. 23   For example, when we conducted a study on self-directed learning in residency training, we were overt regarding our roles in the residency program as core faculty, our belief in the importance of self-directed learning, and our assumptions that residents actually engaged in self-directed learning. 24 , 25   We also needed to challenge these assumptions and open ourselves to alternative questions, methods of data collection, and interpretations of the data, to ultimately ensure that we created a research team with varied perspectives. Therefore, qualitative researchers do not strive for “unbiased” research but to understand their own roles in the coconstruction of knowledge. When assessing reflexivity, it is important for the authors to define their roles, explain how those roles may affect the collection and analysis of data, and how the researchers accounted for that effect and, if needed, challenged any assumptions during the research process. Because of the role of the researcher in qualitative research, it is vital to have a member of the research team with qualitative research experience.

A Word on Mixed Methods

In mixed methods research, the researcher collects and analyzes both qualitative and quantitative data rigorously and integrates both forms of data in the results of the study. 26   Medical education research often involves complex questions that may be best addressed through both quantitative and qualitative approaches. Combining methods can complement the strengths and limitations of each method and provide data from multiple sources to create a more detailed understanding of the phenomenon of interest. Examples of uses of mixed methods that would be applicable to medical education research include: collecting qualitative and quantitative data for more complete program evaluation, collecting qualitative data to inform the research design or instrument development of a quantitative study, or collecting qualitative data to explain the meaning behind the results of a quantitative study. 26   The keys to conducting mixed methods studies are to clearly articulate your research questions, explain your rationale for use of each approach, build an appropriate research team, and carefully follow guidelines for methodologic rigor for each approach. 27  

Toward Asking More “Why” Questions

We presented similarities and differences between qualitative and quantitative research to introduce the clinician educator to qualitative research but not to suggest the relative value of one these research methods over the other. Whether conducting qualitative or quantitative research in medical education, researchers should move toward asking more “why” questions to gain deeper understanding of the key phenomena and theories in medical education to move the field of medical education forward. 28   By understanding the theories and assumptions behind qualitative and quantitative research, clinicians can decide how to use these approaches to answer important questions in medical education.

There are substantial differences between qualitative and quantitative research with respect to the assessment of rigor; here we provide a framework for reading, understanding, and assessing the quality of qualitative research. O’Brien et al. 29   created a useful 21-item guide for reporting qualitative research in medical education, based upon a systematic review of reporting standards for qualitative research—the Standards for Reporting Qualitative Research. It should be noted, however, that just performing and reporting each step in these standards do not ensure research quality.

Using the Standards for Reporting Qualitative Research as a backdrop, we will highlight basic steps for clinician educators wanting to engage with qualitative research. If you use this framework to conduct qualitative research in medical education, then you should address these steps; if you are evaluating qualitative research in medical education, then you can assess whether the study investigators addressed these steps. Table 3 underscores each step and provides examples from our research in resident self-directed learning. 25  

Components of Qualitative Research: Examples from a Single Research Study

Components of Qualitative Research: Examples from a Single Research Study

Refine the study question. As with any research project, investigators should clearly define the topic of research, describe what is already known about the phenomenon that is being studied, identify gaps in the literature, and clearly state how the study will fill that gap. Considering theoretical underpinnings of qualitative research in medical education often means searching for sources outside of the biomedical literature and utilizing theories from education, sociology, psychology, or other disciplines. This is also a critical time to engage people from other disciplines to identify theories or sources of information that can help define the problem and theoretical frameworks for data collection and analysis. When evaluating the introduction of a qualitative study, the researchers should demonstrate a clear understanding of the phenomenon being studied, the previous research on the phenomenon, and conceptual frameworks that contextualize the study. Last, the problem statement and purpose of the study should be clearly stated.

Identify the qualitative methodology and research paradigm. The qualitative methodology should be chosen based on the stated purpose of the research. The qualitative methodology represents the overarching philosophy guiding the collection and analysis of data and is distinct from the research methods ( i.e. , how the data will be collected). There are a number of qualitative methodologies; we have included a list of some of the most common methodologies in table 4 . Choosing a qualitative methodology involves examining the existing literature, involving colleagues with qualitative research expertise, and considering the goals of each approach. 32   For example, explaining the processes, relationships, and theoretical understanding of a phenomenon would point the researcher to grounded theory as an appropriate approach to conducting research. Alternatively, describing the lived experiences of participants may point the researcher to a phenomenological approach. Ultimately, qualitative research should explicitly state the qualitative methodology along with the supporting rationale. Qualitative research is challenging, and you should consult or collaborate with a qualitative research expert as you shape your research question and choose an appropriate methodology. 32  

Choose data collection methods. The choice of data collection methods is driven by the research question, methodology, and practical considerations. Sources of data for qualitative studies would include open-ended survey questions, interviews, focus groups, observations, and documents. Among the most important aspects of choosing the data collection method is alignment with the chosen methodology and study purpose. 33   For interviews and focus groups, there are specific methods for designing the instruments. 34 , 35   Remarkably, these instruments can change throughout the course of the study, because data analysis often informs future data collection in an iterative fashion.

Select a sampling strategy. After identifying the types of data to be collected, the next step is deciding how to sample the data sources to obtain a representative sample. Most qualitative methodologies utilize purposive sampling, which is choosing participants whose perspectives or experiences are relevant to the study question. 11   Although random sampling and convenience sampling may be simpler and less costly for the researcher than purposeful sampling, these approaches often do not provide sufficient information to answer the study question. 36   For example, in grounded theory, theoretical sampling means that the choice of subsequent participants is purposeful to aid in the building and refinement of developing theory. The criteria for selecting participants should be stated clearly. One key difference between qualitative and quantitative research is sample size: in qualitative research, sample size is usually determined during the data collection process, whereas in quantitative research, the sample size is determined a priori . Saturation is verified when the analysis of newly collected data no longer provides additional insights into the data analysis process. 10  

Plan and outline a strategy for data processing. Data processing refers to how the researcher organizes, manages, and dissects the study data. Although data processing serves data analysis, it is not the analysis itself. Data processing includes practical aspects of data management, like transcribing interviews, collecting field notes, and organizing data for analysis. The next step is coding the data, which begins with organizing the raw data into chunks to allow for the identification of themes and patterns. A code is a “word or short phrase that symbolically assigns a summative, salient, essence-capturing, and/or evocative attribute for a portion of language-based or visual data.” 8   There is an artificial breakdown between data processing and analysis, because these steps may be conducted simultaneously; many consider coding as different from—yet a necessary step to facilitating—the analysis of data. 8   Qualitative software can support this process, by making it easier to organize, access, search, and code your data. However, it is noteworthy that these programs do not do the work for you, they are merely tools for supporting data processing and analysis.

Conduct the data analysis. When analyzing the data, there are several factors to consider. First, the process of data analysis begins with the initial data collection, which often informs future data collection. Researchers should be intentional when reading, reviewing, and analyzing data as it is collected, so that they can shape and enrich subsequent data collection ( e.g. , modify the interview questions). Second, data analysis is often conducted by a research team that should have the appropriate expertise and perspectives to bring to the analysis process. Therefore, when evaluating a qualitative study, you should consider the team’s composition and their reflexivity with respect to their potential biases and influences on their study subjects. Third, the overall goal is to move from the raw data to abstractions of the data that answer the research question. For example, in grounded theory, the research moves from the raw data, to the identification of themes, to categorization of themes, to identifying relationships between themes, and ultimately to the development of theoretical explanations of the phenomenon. 30   Consequently, the primary researcher or research team should be intimately involved with the data analysis, interrogating the data, writing analytic memos, and ultimately make meaning out of the data. There are differing opinions about the use of “counting” of codes or themes in qualitative research. In general, counting of themes is used during the analysis process to recognize patterns and themes; often these are not reported as numbers and percentages as in quantitative research, but may be represented by words like few , some , or many . 37  

Recognize techniques to enhance trustworthiness of your study findings. Ensuring consistency between the data and the results of data analysis, along with ensuring that the data and results accurately represent the perspectives and contexts related to the data source, are crucial to ensuring trustworthiness of study findings. Methods for enhancing trustworthiness include triangulation , which is comparing findings from different methods or perspectives, and member-checking , which is presenting research findings to study participants to provide opportunities to ensure that the analysis is representative. 10  

Synthesize and interpret your data. Synthesis of qualitative research is determined by the depth of the analysis and involves moving beyond description of the data to explaining the findings and situating the results within the larger body of literature on the phenomenon of interest. The reporting of data synthesis should match the research methodology. For instance, if the study is using grounded theory, does the study advance the theoretical understanding of the phenomenon being studied? It is also important to acknowledge that clarity and organization are paramount. 10   Qualitative data are rich and extensive; therefore, researchers must organize and tell a compelling story from the data. 38   This process includes the selection of representative data ( e.g. , quotations from interviews) to substantiate claims made by the research team.

Common Methodologies Used in Qualitative Research

Common Methodologies Used in Qualitative Research

For more information on qualitative research in medical education:

Qualitative Research and Evaluation Methods: Integrating Theory and Practice, by Michael Q. Patton (SAGE Publications, Inc., 2014)

Qualitative Inquiry and Research Design: Choosing Among Five Approaches, by John W. Cresswell (SAGE Publications, Inc. 2017)

Researching Medical Education, by Jennifer Cleland and Steven J. Durning (Wiley-Blackwell, 2015)

Qualitative Research in Medical Education, by Patricia McNally, in Oxford Textbook of Medical Education, edited by Kieren Walsh (Oxford University Press, 2013)

The Journal of Graduate Medical Education “Qualitative Rip Out Series” (Available at: http://www.jgme.org/page/ripouts )

The Standards for Reporting Qualitative Research (O'Brien BC, Harris IB, Beckman TJ, Reed DA, Cook DA. Standards for reporting qualitative research: a synthesis of recommendations. Acad Med. 2014;89(9):1245-51.)

The Wilson Centre Qualitative Atelier (For more information: http://thewilsoncentre.ca/atelier/ )

Qualitative research is commonly used in medical education but may be unfamiliar to many clinician educators. In this article, we provided a definition of qualitative research, explored the similarities and differences between qualitative and quantitative research, and outlined a framework for conducting or appraising qualitative research in medical education. Even with advanced training, it can be difficult for clinician educators to understand and conduct qualitative research. Leaders in medical education research have proposed the following advice to clinician educators wanting to engage in qualitative medical education research: (1) clinician educators should find collaborators with knowledge of theories from other disciplines ( e.g. , sociology, cognitive psychology) and experience in qualitative research to utilize their complementary knowledge and experience to conduct research—in this way, clinician educators can identify important research questions; collaborators can inform research methodology and theoretical perspectives; and (2) clinician educators should engage with a diverse range disciplines to generate new questions and perspectives on research. 4  

Support was provided solely from institutional and/or departmental sources.

The authors declare no competing interests.

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The qualitative orientation in medical education research

Qualitative research is very important in educational research as it addresses the “how” and “why” research questions and enables deeper understanding of experiences, phenomena and context. Qualitative research allows you to ask questions that cannot be easily put into numbers to understand human experience. Getting at the everyday realities of some social phenomenon and studying important questions as they are really practiced helps extend knowledge and understanding. To do so, you need to understand the philosophical stance of qualitative research and work from this to develop the research question, study design, data collection methods and data analysis. In this article, I provide an overview of the assumptions underlying qualitative research and the role of the researcher in the qualitative process. I then go on to discuss the type of research objectives which are common in qualitative research, then introduce the main qualitative designs, data collection tools, and finally the basics of qualitative analysis. I introduce the criteria by which you can judge the quality of qualitative research. Many classic references are cited in this article, and I urge you to seek out some of these further reading to inform your qualitative research program.

Introduction

When we speak of “quantitative” or “qualitative” methodologies, we are in the final analysis speaking about an interrelated set of assumptions about the social world which are philosophical, ideological, and epistemological. They encompass more than just data collection methodologies [ 1 ].

It is easy to assume that the differences between quantitative and qualitative research are solely about how data is collected—the randomized controlled trial versus ethnographic fieldwork, the cohort study versus the semi-structured interview. However, quantitative and qualitative approaches make different assumptions about the world [ 2 ], about how science should be conducted, and about what constitutes legitimate problems, solutions and criteria of “proof” [ 3 ].

Why is it important to understand differences in assumptions, or philosophies, of research? Why not just go ahead and do a survey or carry out some interviews? First, the assumptions behind the research tools you choose provide guidance for conducting your research. They indicate whether you should be an objective observer or whether you have a contributory role in the research process. They guide whether or not you must slavishly ask each person in a study the same questions or whether your questions can evolve as the study progresses. Second, you may wish to submit your work as a dissertation or as a research paper to be considered for publication in a journal. If so, the chances are that examiners, editors, and reviewers might have knowledge of different research philosophies from yours and may be unwilling to accept the legitimacy of your approach unless you can make its assumptions clear. Third, each research paradigm has its own norms and standards, its accepted ways of doing things. You need to “do things right”. Finally, understanding the theoretical assumptions of the research approach helps you recognize what the data collection and analysis methods you are working with do well and what they do less well, and lets you design your research to take full advantage of their strengths and compensate for their weaknesses.

In this short article, I will introduce the assumptions of qualitative research and their implications for research questions, study design, methods and tools, and analysis and interpretation. Readers who wish a comparison between qualitative and quantitative approaches may find Cleland [ 4 ] useful.

Ontology and epistemology

We start with a consideration of the ontology (assumptions about the nature of reality) and epistemology (assumptions about the nature of knowledge) of qualitative research.

Qualitative research approaches are used to understand everyday human experience in all its complexity and in all its natural settings [ 5 ]. To do this, qualitative research conforms to notions that reality is socially constructed and that inquiry is unavoidably value-laden [ 6 ]. The first of these, reality is socially constructed, means reality cannot be measured directly—it exists as perceived by people and by the observer. In other words, reality is relative and multiple, perceived through socially constructed and subjective interpretations [ 7 ]. For example, what I see as an exciting event may be seen as a threat by other people. What is considered a cultural ritual in my country may be thought of as quite bizarre elsewhere. Qualitative research is concerned with how the social world is interpreted, understood, experienced, or constructed. Mann and MacLeod [ 8 ] provide a very good overview of social constructivism which is a excellent starting point for understanding this.

The idea of people seeing things in diverse ways also holds true in research process, hence inquiry being valued-laden. Different people have different views of the same thing depending on their upbringing and other experiences, their training, and professional background. Someone who has been trained as a social scientist may “see” things differently from someone who has been medically trained. A woman may see things differently to a man. A more experienced researcher will see things differently from a novice. A qualitative researcher will have very different views of the nature of “evidence” than a quantitative researcher. All these viewpoints are valid. Moreover, different researchers can study the same topic and try to find solutions to the same challenges using different study designs—and hence come up with different interpretations and different recommendations. For example, if your position is that learning is about individual, cognitive, and acquisitive processes, then you are likely to research the use of simulation training in surgery in terms of the effectiveness and efficacy of training related to mastery of technical skills [ 9 , 10 ]. However, if your stance is that learning is inherently a social activity, one which involves interactions between people or groups of people, then you will look to see how the relationships between faculty members, participants and activities during a simulation, and the wider social and cultural context, influence learning [ 11 , 12 ].

Whether researchers are explicit about it or not, ontological and epistemological assumptions will underpin how they study aspects of teaching and learning. Differences in these assumptions shape not only study design, but also what emerges as data, how this data can be analysed and even the conclusions that can be drawn and recommendations that can be made from the study. This is referred to as worldview, defined by Creswell [ 13 ] as “a general orientation about the world and the nature of research that a researcher holds.” McMillan [ 14 ] gives a very good explanation of the importance of this phenomenon in relation to medical education research. There is increasing expectation that researchers make their worldview explicit in research papers.

The research objective

Given the underlying premise that reality is socially constructed, qualitative research focuses on answering “how” and “why” questions, of understanding a phenomena or a context. For example, “Our study aimed to answer the research question: why do assessors fail to report underperformance in medical students? [ 15 ]”, “The aim of this work was to investigate how widening participation policy is translated and interpreted for implementation at the level of the individual medical school [ 4 ].”

Common verbs in qualitative research questions are identify, explore, describe, understand, and explain. If your research question includes words like test or measure or compare in your objectives, these are more appropriate for quantitative methods, as they are better suited to these types of aims. Bezuidenhout and van Schalkwyk [ 16 ] provide a good guide to developing and refining your research question. Lingard [ 17 ]’s notion of joining the conversation and the problem-gap-hook heuristic are also very useful in terms of thinking about your question and setting it out in the introduction to a paper in such a way as to interest journal editors and readers.

Do not think formulating a research question is easy. Maxwell [ 18 ] gives a good overview of some of the potential issues including being too general, making assumptions about the nature of the issue/problem and using questions which focus the study on difference rather than process. Developing relevant, focused, answerable research questions takes time and generating good questions requires that you pay attention not just to the questions themselves but to their connections with all the other components of the study (the conceptual lens/theory, the methods) [ 18 ].

Theory can be applied to qualitative studies at different times during the research process, from the selection of the research phenomenon to the write-up of the results. The application of theory at different points can be described as follows [ 19 , 20 , 21 ]: (1) Theory frames the study questions, develops the philosophical underpinnings of the study, and makes assumptions to justify or rationalize the methodological approach. (2) Qualitative investigations relate the target phenomenon to the theory. (3) Theory provides a comparative context or framework for data analysis and interpretation. (4) Theory provides triangulation of study findings.

Schwartz-Barcott et al. [ 20 ] characterized those processes as theoretical selectivity (the linking of selected concepts with existing theories), theoretical integration (the incorporation and testing of selected concepts within a particular theoretical perspective), and theory creation (the generation of relational statements and the development of a new theory). Thus, theory can be the outcome of the research project as well as the starting point [ 22 ].

However, the emerging qualitative researcher may wish a little more direction on how to use theory in practice. I direct you to two papers: Reeves et al. [ 23 ] and Bordage [ 24 ]. These authors clearly explain the utility of theory, or conceptual frameworks, in qualitative research, how theory can give researchers different “lenses” through which to look at complicated problems and social issues, focusing their attention on different aspects of the data and providing a framework within which to conduct their analysis. Bordage [ 24 ] states that “conceptual frameworks represent ways of thinking about a problem or a study, or ways of representing how complex things work the way they do. Different frameworks will emphasise different variables and outcomes.” He presents an example in his paper and illustrates how different lens highlight or emphasise different aspects of the data. Other authors suggest that two theories are potentially better than one in exploring complex social issues [ 25 ]. There is an example of this in one of my papers, where we used the theories of Bourdieu [ 26 ] and Engestrom [ 27 , 28 ] nested within an overarching framework of complexity theory [ 29 ] to help us understand learning at a surgical bootcamp. However, I suggest that for focused studies and emerging educational researchers, one theoretical framework or lens is probably sufficient.

So how to identify an appropriate theory, and when to use it? It is crucially important to read widely, to explore lots of theories, from disciplines such as (but not only) education, psychology, sociology, and economics, to see what theory is available and what may be suitable for your study. Carefully consider any theory, check its assumptions [ 30 ] are congruent with your approach, question, and context before final selection [ 31 ] before deciding which theory to use. The time you spend exploring theory will be time well spent in terms not just of interpreting a specific data set but also to broadening your knowledge. The second question, when to use it, depends on the nature of the study, but generally the use of theory in qualitative research tends to be inductive; that is, building explanations from the ground up, based on what is discovered. This typically means that theory is brought in at the analysis stage, as a lens to interpret data.

In the qualitative approach, the activities of collecting and analyzing data, developing and modifying theory, and elaborating or refocusing the research questions, are usually going on more or less simultaneously, each influencing all of the others for a useful model of qualitative research design [ 18 ]. The researcher may need to reconsider or modify any design decision during the study in response to new developments. In this way, qualitative research design is less linear than quantitative research, which is much more step-wise and fixed.

This is not the same as no structure or plan. Most qualitative projects are pre-structured at least in terms of the equivalent of a research protocol, setting out what you are doing (aims and objectives), why (why is this important), and how (theoretical underpinning, design, methods, and analysis). I have provided a brief overview of common approaches to qualitative research design below and direct you to the numerous excellent textbooks which go into this in more detail [ 32 , 33 , 34 , 35 ].

There are five basic categories of qualitative research design: ethnography, narrative, phenomenological, grounded theory, and case study [ 13 , 32 ].

2. Ethnography

In ethnography, you immerse yourself in the target participants’ environment to understand the goals, cultures, challenges, motivations, and themes that emerge. Ethnography has its roots in cultural anthropology where researchers immerse themselves within a culture, often for years. Through multiple data collection approaches—observations, interviews and documentary data, ethnographic research offers a qualitative approach with the potential to yield detailed and comprehensive accounts of different social phenomenon (actions, behavior, interactions, and beliefs). Rather than relying on interviews or surveys, you experience the environment first hand, and sometimes as a “participant observer” which gives opportunity to gather empirical insights into social practices which are normally “hidden” from the public gaze. Reeves et al. [ 36 ] give an excellent guide to ethnography in medical education which is essential reading if you are interested in using this approach.

3. Narrative

The narrative approach weaves together a sequence of events, usually from just one or two individuals to form a cohesive story. You conduct in-depth interviews, read documents, and look for themes; in other words, how does an individual story illustrate the larger life influences that created it. Often interviews are conducted over weeks, months, or even years, but the final narrative does not need to be in chronological order. Rather it can be presented as a story (or narrative) with themes, and can reconcile conflicting stories and highlight tensions and challenges which can be opportunities for innovation.

4. Phenomenology

Phenomenology is concerned with the study of experience from the perspective of the individual, “bracketing” taken-for-granted assumptions and usual ways of perceiving. Phenomenological approaches emphasise the importance of personal perspective and interpretation. As such they are powerful for understanding subjective experience, gaining insights into people’s motivations and actions, and cutting through the clutter of taken-for-granted assumptions and conventional wisdom.

Phenomenological approaches can be applied to single cases or to selected samples. A variety of methods can be used in phenomenologically-based research, including interviews, conversations, participant observation, action research, focus meetings, and analysis of personal texts. Beware though—phenomenological research generates a large quantity data for analysis.

The phenomenological approach is used in medical education research and there are some good articles which will familiarise you with this approach [ 37 , 38 ].

5. Grounded theory

Whereas a phenomenological study looks to describe the essence of an activity or event, grounded theory looks to provide an explanation or theory behind the events. Its main thrust is to generate theories regarding social phenomena: that is, to develop higher level understanding that is “grounded” in, or derived from, a systematic analysis of data [ 39 ]. Grounded theory is appropriate when the study of social interactions or experiences aims to explain a process, not to test or verify an existing theory. Rather, the theory emerges through a close and careful analysis of the data.

The key features of grounded theory are its iterative study design, theoretical (purposive) sampling, and cycles of simultaneous data collection and analysis, where analysis informs the next cycle of data collection. In keeping with this iterative design, the sample is not set at the outset but is selected purposefully as the analysis progresses; participants are chosen for their ability to confirm or challenge an emerging theory. As issues of interest are noted in the data, they are compared with other examples for similarities and differences.

Grounded theory was first proposed by Glaser and Strauss [ 40 ] in 1967 but since then there have been many interpretations of this approach, each with their own processes and norms [ 41 , 42 , 43 ].

Beware—grounded theory is often done very badly, and numerous studies are rejected by journals because they claim to use grounded theory but do not actually do so, or do so badly.

6. Case study

Researcher Yin [ 44 ] defines the case study research method as an empirical inquiry that investigates a contemporary phenomenon within its real-life context; when the boundaries between phenomenon and context are not clearly evident; and in which multiple sources of evidence are used. The case study method enables a researcher to closely examine the data within a specific context—for example, in a small geographical area or a very limited number of individuals as the subjects of study. Case studies explore and investigate contemporary real-life phenomenon through detailed contextual analysis of a limited number of events or conditions, and their relationships. A case study involves a deep understanding through multiple types of data sources. For example, we used case study methodology recently to explore the nature of the clinical learning environment in a general surgical unit, and used both documents and interviews as data sources. Case studies can be explanatory, exploratory, or describing an event [ 44 ] and case study design can be very open or more structured [ 45 ]. Case studies are a useful approach where the focus is to explain the complexities of real life situations.

While the five methods generally use similar data collection techniques (observation, interviews, and reviewing text—see below), the purpose of the study differentiates them.

Data collection methods

The qualitative methods most commonly used for research purposes can be classified in three broad categories: (1) interviews (individual or group), (2) observation methods, and (3) document review.

The qualitative research interview seeks to describe and gain understanding of certain themes in the life world of the subjects. Interviews can be organised one-to-one or group (focus groups) depending on the topic under study, the cultural context, and the aims of the project. Observational data collection in qualitative research involves the detailed observation of people and events to learn about behaviors and interactions in natural settings [ 46 ]. Such study designs are useful when the study goal is to understand cultural aspects of a setting or phenomenon [ 47 ], when the situation of interest is hidden, (tacit), or when subjects in the setting appear to have notably different views to other groups. Written materials or documents such as institutional records, personal diaries, and historical public documents may also serve as a valuable source of secondary data, providing insight into the lives and experiences of the group under study. For example, in one of my recent studies we used document analysis to uncover the thinking behind the design of a new medical school, then carried out interviews with “users” of the new building to explore how the intentions of the planners played out in reality. However, this is only one way of incorporating document analysis into a study: see Bowen [ 48 ] for an excellent introduction to the purpose and practicalities of document review within qualitative research.

See Dicicco-Bloom and Crabtree [ 49 ] for a useful summary of the content and process of the qualitative research interview, Creswell [ 50 ] for further discussion of the many different approaches in qualitative research and their common characteristics.

1. Data management

Qualitative research may use some form of quantification, but statistical forms of analysis are not central [ 51 ]. Instead, qualitative data analysis aims to uncover emerging themes, patterns, concepts, insights, and understandings [ 52 ]. The data are allowed to “speak for themselves” by the emergence of conceptual categories and descriptive themes. Trying to squeeze narratives into boxes (like “0” and “1”) would result in the loss of contextualisation and narrative layering. The researcher must immerse themselves in the data in order to be able to see meaningful patterns and themes, making notes as they go through the processes of data collection and analysis, and then using these notes to guide the analysis strategy.

Qualitative data has to be managed before it can be analysed—you can generate a lot of data from just a few interviews or observations! You may want to use a specialist qualitative database to facilitate data management and analysis. NVivo is a well-known qualitative data analysis software package (note that qualitative software packages enable you to make and store notes, and explanations of your codes, so you do not need to juggle bits of paper and electronic data files). These and similar databases are available commercially (i.e., at a cost) and are used widely by universities. The choice of database may be dictated by the resources of your institution, your personal preference, and/or what technical support is available locally. However, if you do not have access to qualitative data management software, then use paper and pencil: read and re-read transcripts, take notes on specifics and the bigger patterns, and label different themes with different coloured pen. You do all this in a software package anyway, as data management software does not describe or analyse your data for you. See Cleland et al. [ 53 ] for comprehensive guidance on how to use qualitative databases in education research.

Data analysis

While bearing in mind that qualitative data collection and analysis are iterative rather than linear (see earlier), Miles and Huberman [ 54 ] explain the process of qualitative data analysis as (1) data reduction (extracting the essence), (2) data display (organizing for meaning), and (3) drawing conclusions (explaining the findings).

Data analysis usually follows an inductive approach where the data are allowed to “speak for themselves” by the emergence of conceptual categories and descriptive themes. The researcher must be open to multiple possibilities or ways to think about a problem, engaging in “mental excursions” using multiple stimuli, “side-tracking” or “zigzagging,” changing patterns of thinking, making linkages between the “seemingly unconnected,” and “playing at it,” all with the intention of “opening the world to us in some way” [ 52 ]. The researcher must immerse themselves in the data in order to be able to see meaningful patterns and themes, making notes as they go through the processes of data collection and analysis, and then using these notes to guide the analysis strategy and the development of a coding framework.

In this way, good qualitative research has a logical chain of reasoning, multiple sources of converging evidence to support an explanation, and rules out rival hypotheses with convincing arguments and solid data. The wider literature and theory are used to derive analytical frameworks as the process of analysis develops and different interpretations of the data are likely to be considered before the final argument is built. For example, one of our own studies aimed to explore how widening access policy is translated and implemented at the level of individual medical schools [ 4 ]. Data was collected via individual interviews with key personnel. We initially conducted a primary level thematic analysis to determine themes. After the themes emerged, and following further team discussion, we explored the literature, identified and considered various theories, in some depth, before identifying the most appropriate theory or conceptual lens for a secondary, theory-driven analysis.

There are some excellent text books which discuss qualitative data analysis in detail [ 35 , 55 ].

Judging the quality of research

There are various criteria by which you can judge the quality of qualitative research. These link to efforts by the research team to consider their findings. The most common ways of doing so are triangulation, respondent validation, reflexivity, detail and process, and fair dealing [ 56 ] (but see also Varpio et al. [ 57 ] for a detailed discussion of the limitations of some of these methods).

Triangulation compares the results from either two or more different methods of data collection (for example, interviews and observation) or, more simply, two or more data sources (for example, interviews with different people). The researcher looks for patterns of convergence to develop or corroborate an overall interpretation. This is as a way of ensuring comprehensiveness. Respondent validation, or “member checking,” includes techniques in which the investigator’s account is compared with those of the research subjects to establish the level of correspondence between the two sets. Study participants’ reactions to the analyses are then incorporated into the study findings. Providing a clear account of the process of data collection and analysis is important. By the end of the study, it should be possible to provide a clear account of how early, simple coding evolved into more sophisticated coding structures and thence into clearly defined concepts and explanations for the data collected. Reflexivity is discussed earlier but in terms of analysis reflexivity means sensitivity to the ways in which the researcher and the research process have shaped the collected data, including the role of prior assumptions and experience. These two points address credibility, whether the study has been conducted well and the findings seem reasonable. It is important to pay attention to “negative cases,” data that contradict, or seem to contradict, the emerging explanation of the phenomena under study. These can be a very useful source of information in terms of refining the analysis and thinking beyond the obvious. The final technique is to ensure that the research design explicitly incorporates a wide range of different perspectives. In practice this can mean presenting data from a wide range of diverse participants. A very practical point is worth mentioning here—any reviewer will want to see quotes labelled in some way; for example, P11FFG2 would be participant 11, female, focus group 2). This helps the reader see that your data does not just represent the view of one or two people, but that there is indeed some sort of pattern or commonality to report.

Guba and Lincoln [ 58 ] provide the following criteria for judging qualitative research: credibility, transferability, dependability, and confirmability. I direct you to the original resource and to a very good explanation of these criteria in Mann and MacLeod [ 8 ].

Qualitative research is very important in educational research as it addresses the “how” and “why” research questions and enables deeper understanding of experiences, phenomena, and context. Qualitative research allows you to ask questions that cannot be easily put into numbers to understand human experience. Getting at the everyday realities of some social phenomenon and studying important questions as they are really practiced helps answer big questions. To do so, you need to understand the philosophical stance of qualitative research and work from this to develop the research question, study design, data collection methods, and data analysis.

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COMMENTS

  1. Choosing a Qualitative Research Approach

    In this Rip Out, we describe 3 different qualitative research approaches commonly used in medical education: grounded theory, ethnography, and phenomenology. Each acts as a pivotal frame that shapes the research question (s), the method (s) of data collection, and how data are analyzed. 4, 5.

  2. Choosing a Qualitative Research Approach

    In this Rip Out, we describe 3 different qualitative research approaches commonly used in medical education: grounded theory, ethnography, and phenomenology. Each acts as a pivotal frame that shapes the research question (s), the method (s) of data collection, and how data are analyzed. 4, 5. Go to:

  3. Choosing a Qualitative Research Approach

    Choosing a Qualitative Research Approach. Choosing a Qualitative Research Approach. Choosing a Qualitative Research Approach J Grad Med Educ. 2015 Dec;7(4):669-70. doi: 10.4300/JGME-D-15-00414.1. ... Education, Medical, Graduate Internship and Residency* Qualitative Research* ...

  4. PDF Choosing a Qualitative Research Approach

    In this Rip Out, we describe 3 different qualitative research ap-proaches commonly used in medical education: grounded theory, ethnography, and phenomenology. Each acts as a pivotal frame that shapes the research question(s), the method(s) of data collection, and how data are ana-lyzed.4,5. Anupma Wadhwa, MD Lara Varpio, PhD.

  5. Choosing a Qualitative Research Approach.

    TLDR. Three research paradigms whose frameworks are commonly used by medical education researchers (grounded theory, ethnography, phenomenology), and the four most commonly used data gathering techniques are described, which can identify areas that warrant further investigation through hypothesis‐testing (quantitative) research. Expand. 18. PDF.

  6. Qualities of Qualitative Research: Part I

    Quantitative research uses a positivist perspective in which evidence is objectively and systematically obtained to prove a causal model or hypothesis; what works is the focus. 3 Alternatively, qualitative approaches focus on how and why something works, to build understanding. 3 In the positivist model, study objects (eg, learners) are ...

  7. A practical guide for conducting qualitative research in medical

    INTRODUCTION. Qualitative research plays an important role in advancing practice and policy in education both inside and out of the field of medicine. 1, 2 Qualitative methods allow for in‐depth understanding of human behavior and social context to provide clues as to "how" and "why" certain phenomena are occurring. 3 This can help inform understanding of teacher or learner behavior ...

  8. Choosing a Qualitative Research Approach.

    In this Rip Out, we describe 3 different qualitative research approaches commonly used in medical education: grounded theory, ethnography, and phenomenology. Each acts as a pivotal frame that shapes the research question (s), the method (s) of data collection, and how data are analyzed. 4, 5.

  9. Education Qualitative Research Methods for Medical Educators

    This paper provides a primer for qualitative research in medical education. Our aim is to equip readers with a basic understanding of qualitative research and prepare them to judge the goodness of fit between qualitative research and their own research questions. We provide an overview of the reasons for choosing a qualitative research approach ...

  10. Choosing a Qualitative Research Approach

    Request PDF | On Dec 1, 2015, Arianne Teherani and others published Choosing a Qualitative Research Approach | Find, read and cite all the research you need on ResearchGate ... Journal of Graduate ...

  11. Qualitative Research Part II: Participants, Analysis, and Quality

    This is the second of a two-part series on qualitative research. Part 1 in the December 2011 issue of Journal of Graduate Medical Education provided an introduction to the topic and compared characteristics of quantitative and qualitative research, identified common data collection approaches, and briefly described data analysis and quality assessment techniques.

  12. Choosing a Qualitative Research Approach

    Dive into the research topics of 'Choosing a Qualitative Research Approach'. Together they form a unique fingerprint. Qualitative Research Medicine & Life Sciences 100%. View full fingerprint Cite this. APA ... Journal of graduate medical education, 7(4), 669-670.

  13. Qualitative Research Methods in Medical Education

    Abstract. Qualitative research was originally developed within the social sciences. Medical education is a field that comprises multiple disciplines, including the social sciences, and utilizes qualitative research to gain a broader understanding of key phenomena within the field. Many clinician educators are unfamiliar with qualitative research.

  14. Qualitative Research in Medical Education

    Summary. Qualitative research encompasses multiple research methodologies, including ethnography, grounded theory, case study, phenomenology, narrative inquiry, action research, and discourse analysis. Qualitative research studies are carried out through a set of tools for data collection and analysis. This chapter presents methods for data ...

  15. Qualitative Research From Grounded Theory to Build a Scientific

    This study stems from an international project with the mission of providing innovative didactic orientations to guide the logic of scientific research (research practice) and the logic of scientific text (scientific writing), specifying concrete routes for reflection and action (Deroncele-Acosta, 2022).Given this, especially for the guidance of research at the master's and doctoral level ...

  16. Qualitative research essentials for medical education

    Research methods translate curiosity into action, facilitating exploration of those questions. Methods must be chosen wisely; some questions lend themselves to certain methodological approaches and not to others. In recent years, qualitative research methods have become increasingly prominent in medical education.

  17. Qualitative Research Methods in Medical Education

    answer ed by qualitativ e methodologies. Our goal is to pro-. vide a broad, practical overview of qualitativ e research in. medical education. Our objectives are to: 1) De ne qualitative research ...

  18. Qualitative Research Part II: Participants, Analysis, and Quality

    This is the second of a two-part series on qualitative research. Part 1 in the December 2011 issue of Journal of Graduate Medical Education provided an introduction to the topic and compared characteristics of quantitative and qualitative research, identified common data collection approaches, and briefly described data analysis and quality assessment techniques.

  19. Qualitative Research Methods in Medical Education

    Medical education is a complex field, and medical education research and practice fittingly draws from many disciplines (e.g., medicine, psychology, sociology, education) and synthesizes multiple perspectives to explain how people learn and how medicine should be taught. 4,5 The concept of a field was well described by Cristancho and Varpio 5 in their tips for early career medical educators ...

  20. Research Design Considerations

    Answers to these questions might be relatively fixed but should be flexible enough to guide methodological choices that best suit different research problems under study. 5. Select an appropriate sampling strategy. Purposive sampling is often used in qualitative research, with a goal of finding information-rich cases, not to generalize. 6.

  21. The qualitative orientation in medical education research

    Abstract. Qualitative research is very important in educational research as it addresses the "how" and "why" research questions and enables deeper understanding of experiences, phenomena and context. Qualitative research allows you to ask questions that cannot be easily put into numbers to understand human experience.

  22. Journal of Graduate Medical Education Instructions for Authors

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  23. Journal of Graduate Medical Education

    About the Journal. The Journal of Graduate Medical Education disseminates scholarship and promotes critical inquiry to inform and engage the graduate medical education community. It is open access, peer-reviewed, editorially independent, and published by the Accreditation Council for Graduate Medical Education.