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Five primary qualitative approaches
Ethnography, grounded theory, phenomenology, case studies and participatory research, each with what it is, when to use it, how it works and its limitations. Examples include antiretroviral therapy adherence in Nigeria, Tanzania and Uganda, vaccination governance in northwest Syria, and participatory action research on COVID-19 in rural Pakistan, then how to choose among the five.
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1There are five main types of qualitative research we'll cover: ethnography, grounded theory, phenomenology, case studies, and participatory approaches. For each one, we'll look at what it is, when to use it, how it works, an example, and its limitations.
2Think of these as different tools in your methodological toolkit. You wouldn't use a hammer for every carpentry job, and you wouldn't use ethnography for every qualitative question. These categories aren't as neat and tidy as textbooks, including this one, sometimes make them seem. Researchers often blend elements from multiple traditions. But understanding the distinctive features of each approach helps us make informed methodological choices.
3Ethnography involves prolonged immersion in a community or cultural setting, combining participant observation, watching what people do, with interviews, asking what people think. We choose ethnography when culture, context, and social dynamics are central to the research question. It's particularly valuable when we suspect that what people say they do and what they actually do might differ, which is a common phenomenon in health behavior.
4The key word is prolonged. Classic ethnography involves months or even years of fieldwork, building relationships, learning the language, both literal and cultural, and witnessing the rhythms of daily life. Ethnographers grapple with their own positionality constantly. Are you an insider or an outsider to the community you're studying? How does your presence change what you're observing? Good ethnographers keep detailed field notes about what they observe and also about their own reactions, assumptions, and evolving understanding.
5An ethnographic study of antiretroviral therapy adherence in Nigeria, Tanzania, and Uganda conducted 414 in-depth interviews and 136 field observations. The researchers observed patients borrowing money for transportation to clinics and heard stories of doing without in other areas of life to prioritize treatment. What emerged was that high adherence in these poverty-stricken settings wasn't primarily driven by fear of disease progression. Staying alive preserved the social relationships that enabled people's economic and social survival. The fieldwork was done by African researchers trained in ethnographic methods who were themselves from the study countries, which enabled cultural competence and community trust that external researchers would struggle to achieve.
6Ethnography is time-intensive, often months to years, and it demands substantial resources for extended fieldwork. It requires language and cultural competence. Findings may not generalize beyond the specific cultural context, and it can be difficult to publish in journals favoring large samples and statistical analysis. It also raises complex ethical questions about representation and power.
7Grounded theory is a systematic methodology for developing theoretical frameworks directly from empirical data. We're not starting with a hypothesis to test. We're building theory from the ground up, which is where the name comes from. We choose grounded theory when the goal is new theoretical understanding about a process or phenomenon, especially when existing theories feel inadequate or culturally inappropriate for the context. It's particularly valuable for understanding social processes: how things unfold over time, how people navigate systems, and how decisions get made.
8Grounded theory works through iterative cycles of data collection and analysis, using specific coding procedures that move from description to conceptualization. Open coding breaks the data into discrete parts and develops initial categories. Axial coding relates categories to subcategories and explores the connections between them. Selective coding integrates the categories around a core category to develop a theoretical framework.
9Grounded theory builds an explanation in three steps, and each one compresses the data. In open coding, we fragment and name. A grounded theory study with 25 people living with HIV in Austria and Germany broke its interviews into concrete statements, like, the diagnosis really crushed me, and, I write it down every day, it's ritualized, and gave each one an initial code, such as shock or ritualized adherence. In axial coding, we organize and relate. The open codes were consolidated into five higher-order categories, and the coding paradigm relates them. The psychosocial burden caused by HIV is the causal condition. It points to the phenomenon, fast coping with diagnosis, then to the strategy, antiretroviral therapy as a need, and then to the consequence, trust as a requirement for disclosure. Stigmatization and discrimination are the context, and the relationship with health-care providers, health literacy, and shared decision-making are intervening conditions. In selective coding, we integrate and explain, around one core category: fast coping with diagnosis through a paradigm change. Modern antiretroviral therapy has transformed HIV from a terminal diagnosis to a manageable chronic condition, and stigma is what hasn't caught up.
10Grounded theory can be labor-intensive, with multiple rounds of data collection and analysis, and it requires analytical sophistication to move beyond description to theory development. Findings may feel abstract rather than immediately actionable for practitioners. The constant comparative method demands large datasets, and debates about true grounded theory versus adapted versions create methodological confusion.
11Phenomenological research explores how people experience and make sense of specific phenomena, focusing on the subjective, first-person perspective of lived experience. Phenomenology asks, what is it like to experience this phenomenon? We choose it when we want to understand what it's like to experience a health condition, treatment, or situation from the patient or caregiver perspective, and particularly when subjective experience itself is clinically relevant: for quality of life, wellbeing, or treatment acceptability.
12Phenomenology typically works from a small set of in-depth interviews. What sets it apart most sharply is bracketing, sometimes called epoché. Other traditions ask researchers to be reflexive about their assumptions and write them into the analysis. Phenomenology asks them to suspend those assumptions so participants' descriptions can be encountered fresh, and then distill those descriptions to the essential structure of the experience.
13A phenomenological study with 15 intensive care patients in South Korea explored their experiences of transfer from the ICU to a general ward. Researchers identified four main themes: hope amid despair, gratitude for being alive, recovery from suffering, and seeking a return to normality. The physical layout of the ICU, with visible monitoring equipment and the nurse call button within easy reach, had shaped patients' sense of security. Transfer to a general ward lacking these visual anchors created anxiety despite medical stability. That might influence how providers prepare patients for transfer and how they structure transitional support.
14Phenomenological findings are descriptive rather than explanatory. They tell us what the experience is like, not why it's that way. They may be dismissed by clinicians as just subjective experience. The approach requires skilled interviewing, and it can be challenging to translate findings into specific intervention recommendations. Different phenomenological schools also have conflicting methodological prescriptions.
15A case study takes one or more cases, like a programme, an organization, a community, or an event, and examines it in its real-world context. The case itself, not a variable or a hypothesis, is the unit of analysis. Case study methodology is well suited to how and why questions about complex phenomena in real-world settings, especially when the boundary between phenomenon and context is hard to draw, or when we want to understand what actually happened when something was implemented.
16What unites case studies is a commitment to thick description: a full, warts-and-all narrative that juxtaposes multiple perspectives, including findings that disconfirm the researcher's preferred interpretation. That drives the methodological signature, which is multiple sources of evidence, like documents, interviews, ethnographic observation, and descriptive quantitative data, triangulated across sources. Document review is so central that it's sometimes a method in its own right, and documents must be read for what they hide as well as what they reveal. In many settings formal archives are thin, and a great deal of policy work is never written down.
17A mixed-methods case study examined vaccination governance in opposition-controlled northwest Syria after 2012, when the state withdrew from these areas. The team assembled four data sources: 14 key informant interviews, a validation workshop with 15 participants, ethnographic observations, and reports and policy documents. Sometimes the sources converged. Interviews praised cold-chain reliability, and observations confirmed well-maintained facilities. Sometimes they diverged. Informants rated the strategy positively, but the documents revealed what was missing from them: no detailed analysis of vaccine losses, no linkage between outbreak data and coverage statistics, and paper-based systems that made comprehensive coverage analysis impossible. That gap in the formal record was itself a finding.
18Findings may not generalize beyond the specific case, though case studies can provide analytical generalization: insights about processes or mechanisms that may apply elsewhere. Case studies can be criticized as lacking rigor if methods aren't systematic. They require substantial resources for comprehensive data collection, analysis can be overwhelming with diverse data types, and there's a risk of getting lost in detail without a clear analytical framework.
19Community-based participatory research involves community members as active partners throughout the research process, from defining questions through data collection to interpretation and dissemination. It represents a fundamental shift in research power dynamics. We choose participatory approaches when working with communities that have been historically marginalized or exploited by research, when community buy-in is essential for intervention success, or when we want research to directly benefit and empower participants.
20Participatory research works through iterative cycles of planning, action, and reflection, with community members as co-researchers who identify problems, design data collection, interpret findings, and develop solutions. A scoping review of participatory approaches in primary health care across low- and middle-income countries found that programs engaging communities only in awareness-building or health education rarely produced durable change. Those that engaged communities in jointly identifying problems, prioritizing actions, and monitoring progress generated genuine improvements in service quality, participation, and accountability.
21A participatory action research study during the COVID-19 pandemic in rural Pakistan engaged community members and leaders through iterative cycles of planning, action, and reflection. The community identified challenges to following public health recommendations. Alongside masking and hand hygiene, social and economic factors shaped preventive behavior: community belief structures around disease transmission, employment concerns requiring continued work despite pandemic risks, and family decision-making dominated by male family heads who might not prioritize women's health concerns. Community members themselves designed and implemented solutions reflecting their values, resources, and social structures.
22Participatory research is time-intensive, with extensive community engagement required. It can be challenging to balance academic rigor with community priorities, and academic journals may not value community-defined outcomes. Academic researchers face pressure to publish, secure grants, and finish on schedule, while community members may prioritize action over publication and immediate problems over research questions. Navigating these tensions requires explicit negotiation, sustained relationship-building, and willingness to compromise from all partners.
23How do we actually choose? Start with the research question. If it's about cultural context and social systems, consider ethnography. If you're trying to build new theory about processes, consider grounded theory. For lived experience, consider phenomenology. For a specific, complex case in context, consider a case study. If community empowerment and action are priorities, consider participatory approaches. Then consider your resources: time, access, skills, and budget. And think about outputs. Policymakers may want case studies, clinicians may value phenomenology, and theorists may appreciate grounded theory.