Abstract
This methodological brief gives an overview of qualitative research methods used in medical education and offers resources to help researchers explore qualitative methods more deeply. We discuss five common qualitative approaches used in medical education research, including case study, ethnography, grounded theory, narrative inquiry, and phenomenology. We review specific qualitative methods and data collection techniques, considering the potential advantages, challenges and biases of each technique. We address the importance of rigor in qualitative research, and give recommendations for what to include in the methods and results section of a qualitative medical education research manuscript.
Introduction
Qualitative research and scholarship in medical education encompass many topics, different learners and environments, and various educational techniques. Used on its own, a qualitative approach provides insights into how people interpret their experiences, uncovers meaning behind a phenomenon, or describes events that are unfamiliar or difficult to quantify. Qualitative data may be used to generate hypotheses and help make sense of how human experiences, social processes, and group interactions are connected.1 Thus, researchers in medical education who are focused on trying to understand what happened, why it happened, or how it happened should consider how a qualitative approach may help to answer their research questions.
When contemplating a research question and designing a study, it is important to consider which qualitative methodology to use to answer the question. Methodology is a research plan of action and provides “an account of the rationale for the choice of methods and the particular forms in which the methods are employed.”2 A researcher’s views about the nature of knowledge and their concerns about what truth is influence both their research questions and the methodological approach that will best answer those questions.
This methodological brief reviews qualitative methodologies commonly used in medical education research. In this article, we do not discuss the role that ontologies (beliefs about what is real or true), epistemologies3 (understandings about the nature of knowing) or theories4 (explanations that help us understand the world) play in qualitative research.5–7 Rather, we offer an overview of five primary approaches to qualitative inquiry from across academic disciplines, then focus on their application and usefulness in medical education research. We then consider how to ensure a qualitative study has sufficient rigor and trustworthiness to be considered for publication, and offer tips, resources, and examples.
Developing the Research Question
Inquiry begins with curiosity, and often, a problem the researcher aims to solve. Examples include problems such as a shortage of primary care physicians, gaps in resident knowledge or skills, or the inequities of a hierarchical health care system. These problems form questions. Qualitative research helps to answer the “what,” “why,” and “how” questions to investigate these problems.1
Qualitative questions may explore a broad central phenomenon, eg, “Why is there a shortage of primary care physicians?” In defining an area of study, qualitative researchers examine a broad concept and develop more specific questions that are manageable in scope: “Why are so few primary care physicians in rural areas?” Or even more specific: “Why are so few women primary care physicians in rural areas?” Crafting research questions with broad inquiry, then sculpting these questions into more manageable sizes helps shape a realistic research design.8 A good qualitative question should be broad enough to be meaningful but focused enough to be answerable.
Methodology: Approaches to Qualitative Inquiry
Qualitative research is not a monolith. It is not defined by its methods, but rather its approach to science. Each research endeavor is guided by a methodology—a way to consider how to design a research study.9 Different qualitative methodologies have different histories, assumptions, traditions, and practical contemporary uses.10
Five qualitative approaches are commonly used in medical education research, including case study, ethnography, grounded theory, narrative inquiry, and phenomenology.11 Each approach offers opportunities for researchers to answer complex questions in different ways. In Table 1 we provide a brief overview of each approach and how they could answer medical education research questions, list exemplar papers, and suggest in-depth methodology resources. These are basic definitions; we recommend that interested readers further explore the vast range of methodological approaches to qualitative inquiry, their underlying assumptions, and their history and use.
Table 1.
Common Qualitative Approaches in Medical Education Research
| Qualitative approach | Description | Exemplar papers | Methodology resources |
|---|---|---|---|
| Case study | Often used in health professions and evaluation, case studies are characterized by in-depth investigations to understand complex events, problems, or shared experiences within the bounds of a specific context (eg, a hospital setting, a specific geographic region, a group of people). Case study research is pragmatic and flexible, and has been used across a range of disciplines, including but not limited to medicine. | ||
| Ethnography | Ethnography developed from anthropology and sociology. Researchers focus questions on culture, people, traditions, and histories in order to understand an individual’s or society’s experience from their own context. Institutional ethnography is often used in qualitative studies of medical education. Institutional ethnography examines how institutional structures or practices influence people’s lives or experiences. | ||
| Grounded theory | Grounded theory is an approach where researchers allow theories to emerge from the data inductively, rather than analyzing data with pre-developed underlying theories or hypotheses. The codebook for a project employing grounded theory develops over time as new codes emerge from the data, and this evolving codebook then informs future data collection and analysis. Medical education benefits from grounded theory as it allows for discovery and exploration of varied and/or previously unknown perspectives on the issue at hand. | ||
| Narrative inquiry | Informed by phenomenology and grounded in the humanities. Narrative inquiry seeks to understand perspectives through the stories people tell. In medical education, narrative inquiry allows for collaborative telling of experiences and considers many aspects of the lived experiences of participants. | ||
| Phenomenology | Grounded in philosophy, phenomenology seeks to understand the subjective or conscious experience. In medical education, this approach typically seeks to understand a complex issue or experience and qualitatively translate that into language that can be understood by those who experience the phenomenon as well as those outside of the phenomenon. |
Data Collection Techniques
Methodology drives the practical design of a study. Although some qualitative methodologies are associated with specific forms of data collection techniques or methods, many types of data collection can be used across methodologies. In Table 2, we describe common types of data collection and their potential advantages, challenges, and sources of bias.
Table 2.
Methods of Data Collection
| Method | Description | Advantages | Challenges and sources of bias |
|---|---|---|---|
| Qualitative interviews | Synchronously asking a participant questions relevant to the research question. Questions can range from highly structured to open-ended. Interviewers typically follow a guide, which can be modified iteratively, depending on the method.36 | One-on-one conversations encourage participants to share and be candid. The logistics of meeting each interviewee can be tailored to each person’s needs to maximize feasibility. Medical students, residents, and attending physicians learn strategies for gathering interview data as part of their training and can be skilled qualitative interviewers. | Requires time for recruitment, scheduling, and execution for each individual participant. Interviewers need to acknowledge and understand how their individual biases may impact data collection. |
| Focus groups | Interviewing small groups of people who may not know one another but are selected because of a shared characteristic or experience. Group discussion, facilitated by a research team member who directs and redirects conversation to address research questions, typically following a focus group guide.37,38 |
Often assumes participants learn from one another to develop their views. Can be mixed with consensus building methods. |
Requires a highly skilled facilitator to keep conversation on track and to elicit unique perspectives from individual group members Scheduling groups of participants can be challenging Relies on thoughtful communication and sensitive group composition, which may be intentionally homogeneous or heterogeneous |
| Observations | Described as “hanging out” with people. Listening, jotting notes, recording conversations, and sharing to build understanding from a community perspective39 | Can “unpack everyday practices, the formidable gap between formal rules and the actual behaviors”39 of individuals and communities. | May be difficult to gain access to certain arenas for observation Time consuming |
| Document collection | Reviewing public documents such as newspapers, meeting minutes, or reports; or private documents such as reflective writing, emails, or diary entries40 | Provides historical, organizational perspectives. | Requires a focused agenda for which documents to gather and how to analyze the documents May be difficult to access personal or private documents |
| Audio/visual materials | Photos, videos, artwork41 | Empowers participants by facilitating their role as collectors and interpreters of their own data | May be challenging to communicate goals or outcomes to participants Requires high flexibility and openness to data interpretations Analysts must be culturally informed of the meaning of images |
Qualitative data collection techniques enable the collection of complex, rich description that builds context and meaning. Researchers may be tempted to use responses to open-ended survey questions as data sources in medical education research. However, without careful attention to survey design, open-ended survey items can produce poor quality data.34,35 Survey respondents typically have limited time and energy for providing written information and may respond in a way that is designed to satisfy the surveyor. Surveys also do not allow for follow-up questioning and in-depth exploration, which is essential for rich understanding.
Thematic Analysis
Although each of the five methodologies has a deep history of analysis processes, we focus here on thematic analysis (TA), a technique that is flexible enough to be suitable for many methodologies.42 TA is a “method for analyzing qualitative data that entails searching across a data set to identify, analyze, and report repeated patterns.”43 TA employs the process of coding, or the practice of labeling a single unit (such as a word, phrase, sentence or complete thought) with an identifying word or description. The coding process can be inductive or deductive. Codes are then grouped together, guided by the researcher, the methodology, the research question, and if being used, a theory. These groupings develop themes that together provide a deeper understanding of an aspect of a research question. Researchers often create codebooks to document and structure TA. A clear codebook can demonstrate rigor and replicability of a researcher’s methods.44 Key definitions related to TA are provided in Table 3.
Table 3.
Analysis and Rigor: Key Definitions
| Qualitative Terminology | Definition |
|---|---|
| Codes | Units used to organize small pieces of qualitative data, such as text or snippets of recordings |
| Coding | The process of organizing qualitative data into a structure, made up of smaller units |
| Inductive coding | Developing codes throughout the process of analyzing data |
| Deductive coding | Using a predetermined theory, guided-research question, or previous knowledge to code data |
| Saturation | A stage of the data collection and evaluation process when little new information is being gathered, data become repetitive, and sufficient data have been collected to develop conclusions |
| Triangulation | The process of affirming the validity of findings by using multiple sources of information to draw conclusions |
| Member checking | Giving study participants the opportunity to refine, affirm, or reject study findings, and refining the findings in response to their feedback, typically at the end of the study period |
Rigor in Qualitative Research: Taking Time to Build a High-Quality Study
Researchers can take specific steps during the design and analysis process to develop their study with rigor. This helps ensure that findings answer the research question truthfully and thoroughly and that the results can be trusted.45,46 Definitions relevant to rigor are given in Table 3.
Congruent design: Each part of a qualitative study, from initial research questions, to methodology, to method, to theoretical framework, should work together as a congruent whole. “Good qualitative research is consistent; the question goes with the method which fits appropriate data collection, appropriate data handling, and appropriate analysis techniques.”47 This alignment, underpinning the research approach, is essential for rigorous qualitative research.48
Reflexivity: Olmos-Vega and colleagues49 describe reflexivity as the continuous practices researchers apply to critique, appraise, and reflect on their own subjectivity during the research process. As qualitative researchers, we draw on our own experiences and beliefs about the world, which can shape interpretations of data. Describing our reflexive stance in the context of the study is essential to ensure transparency throughout the entire research process.44
Trustworthiness and relationship building: Just as we are transparent with our own perspectives through reflexivity, as qualitative researchers we should also remain transparent and trustworthy in relation to those involved in the research. This includes participants, other researchers, and the audience for our work. Throughout the process our approach should be grounded in relationships and building trust.45 This includes open dialogue with other researchers during the analysis process as well as invitations for study participants to read the initial findings or even contribute to analysis, sometimes known as “member checking.”46 Triangulation is another technique that increases trustworthiness, when multiple sources of information point to the same conclusion. When presenting and publishing results, researchers should be transparent about their own biases and contextual experiences. These measures are unique to qualitative research and help to ensure rigor.47
Saturation: Qualitative research typically involves gathering a range of individual perspectives about a problem. Researchers often reach a period of saturation in data collection, when they are hearing the same findings over and over again from multiple participants, and when participants are sharing little new information. Qualitative research typically does not begin with a predetermined sample size. Rather, researchers continue until saturation is reached.48 At the same time, researchers should acknowledge that their understanding of a problem can never be truly complete. The concept of saturation is practically useful, but it has been criticized and remains controversial.50
Mentorship: Qualitative research is an advanced skill, and new researchers benefit from expert guidance and advice through working with a mentor or research team member experienced in qualitative research.51,52
Writing Results and Discussion: Telling a Qualitative Research Story
As with all empirical work, qualitative manuscripts describe the introduction, methods, results, and discussion of the study. While these sections mirror quantitative manuscripts familiar to medical education researchers, the content of each section slightly differs. In the introduction section of a qualitative manuscript, researchers describe the aim of the study within the context of what is known and not known about the topic. They also generally specify research questions. Qualitative methods sections are generally longer and far more detailed than in quantitative manuscripts. The methods section should clearly explain the theoretical underpinnings, methodological approach, data collection techniques, and analysis decisions. The rationale for choosing a specific approach will strengthen the credibility of findings. The Consolidated Criteria for Reporting Qualitative Research (COREQ) is a useful tool to help authors organize their methods section.53 The results section should describe the findings themselves, using summary language of the groupings or themes that are typically derived from the coding process. Results can be made more relevant to audiences by the addition of participant quotes or other examples from the data. In the discussion section, researchers synthesize findings, discuss the context of the broader literature, acknowledge limitations and potential biases, and consider opportunities for further research. Throughout the discussion, it is important to communicate how the qualitative approach contributed to the findings. Authors should avoid the temptation of comparing the rigor of qualitative inquiry to quantitative methods. The two approaches have two distinct purposes.
Conclusion
Qualitative research methods are important tools in medical education research, with specific methodologies and data collection techniques used to answer research questions. Ensuring methodological rigor is essential when developing a high-quality study, and the research manuscript should clearly describe the qualitative design, analysis, and results so that journal editors, peer reviewers, and readers can understand and trust the research process and its results. While this methodological brief gives an overview of qualitative methods for medical education research, there is a great breadth and depth to qualitative approaches, methodologies, and data collection techniques that we encourage medical education scholars to investigate. We hope that future methodological briefs will explore some of these topics.
Footnotes
Conflict Disclosure: The authors have no conflicts of interest to declare.
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