An Overview of Qualitative Research Methods and Their Applications

Qualitative research doesn’t move in a straight line. It circles back, digs deeper, and often changes shape as the researcher learns more about the people or phenomenon being studied. This is exactly why there isn’t just one qualitative method. Depending on whether you want to understand a single life, a shared feeling, a culture, or a specific situation, you’d reach for a different tool. Let’s break down the five major types of qualitative research methods, what each one is good for, and how they show up in real educational research.

Biographical study: telling one story to understand many 🔗

A biographical study focuses on a single individual’s life and experiences to draw out broader insights. The researcher collects this person’s story through in-depth interviews, personal letters, diaries, photographs, or existing records, and then organises it into a coherent narrative.

This approach works well when a single life illustrates something larger; a retired government school teacher’s account of four decades of curriculum reform, for instance, can reveal how policy changes actually played out in classrooms, in ways that surveys never capture. Biographical work in the field of adult education has long emphasised that a person’s narrative doesn’t exist in isolation. It’s shaped by family, community, and institutional relationships around them, which the researcher has to trace alongside the individual’s own words.

Where it gets tricky 🔗

Memory is selective, and people reconstruct their past based on how they see themselves today. A good biographical researcher cross-checks personal accounts against other records wherever possible, rather than taking a single narrative at face value.

Phenomenological study: making sense of a shared experience 🔗

Where biographical research follows one person, phenomenology looks at how several people experience the same event or condition, and tries to describe the essence of that experience. The classic examples: what is it like to be a first-generation college student, or to teach through a pandemic-driven shift to online classes?

Researchers usually rely on detailed one-on-one interviews with a small group who have all lived through the phenomenon, then look for common threads across their descriptions. Two broad traditions guide this work: descriptive phenomenology, which stays close to what participants directly report, and interpretive (or hermeneutic) phenomenology, which pushes further to uncover meanings participants themselves might not fully articulate, a distinction that shapes both the interview questions asked and how the data gets analysed later, as researchers in health professions education have detailed.

Sample sizes stay deliberately small, sometimes under twenty participants, because the goal isn’t statistical generalisation. It’s depth. Studies exploring how international students adjust to unfamiliar academic cultures, for example, have used this method precisely because the aim is to capture the transition itself rather than collect opinions about it.

What makes a phenomenological study convincing 🔗

The researcher has to set aside their own assumptions about the experience before analysing participant accounts. This practice, often called bracketing, is what separates a rigorous phenomenological study from a loosely themed set of interview quotes.

Grounded theory: letting the data build the theory 🔗

Grounded theory flips the usual research order. Instead of starting with a hypothesis and testing it, the researcher starts with a broad area of interest, collects data, and builds a theory from what emerges. It was developed by sociologists Barney Glaser and Anselm Strauss, and it depends on a technique called constant comparison, where each new piece of data is checked against what’s already been coded.

Interviews and documents form the bulk of the data, and sample sizes run larger than most other qualitative methods, often between twenty and sixty participants, because the theory needs enough variation to hold up. A study using grounded theory might explore how first-generation learners in vocational training programmes develop confidence over time, coding interview transcripts in stages until a theoretical model of that confidence-building process takes shape.

This method has a particular relevance to adult and continuing education, a field that has historically leaned on borrowed theories from psychology and sociology rather than building its own. Scholars working in this space have argued that grounded theory offers a practical way to close the gap between research and everyday practice in fields where theory often trails behind lived reality.

Open, axial, and selective coding 🔗

Grounded theory analysis typically moves through three coding stages: open coding to identify initial concepts, axial coding to connect those concepts into categories, and selective coding to build the core theory that ties everything together. Skipping stages usually produces a thin, underdeveloped theory rather than a genuinely grounded one.

Ethnography: studying a culture from the inside 🔗

Ethnography asks the researcher to step into a group’s everyday environment and observe how they behave, communicate, and make sense of their world, often over an extended period. It’s less about asking people what they think and more about watching what they actually do, then interpreting it against the backdrop of their shared culture.

Classroom ethnographies are common in educational research: a researcher might spend a full academic term inside a single school to understand how informal hierarchies among students form, or how teachers negotiate authority in an under-resourced classroom. This kind of fieldwork uses participant observation, where the researcher partly joins the group being studied, alongside nonparticipant observation, where they remain a step removed. Both approaches lean on extended time in the field because rich, trustworthy data in ethnography depends on that sustained presence rather than a handful of visits.

Auto-ethnography, a personal variation 🔗

Some researchers turn the ethnographic lens on their own experience within a culture they belong to, blending personal narrative with cultural analysis. This variant, called auto-ethnography, is particularly useful for examining sensitive or marginalised experiences that an outside researcher might struggle to access.

Case study: an in-depth look at one bounded unit 🔗

A case study is an intensive investigation of a single “bounded” unit, which could be one student, one classroom, one institution, or one programme. What makes it a case, rather than just a subject, is that it has clear boundaries; a defined start and end, a specific context, a limited scope that the researcher can study exhaustively.

Because the goal is a complete and detailed picture, case study researchers draw on multiple sources at once: interviews, direct observation, institutional documents, and sometimes physical artefacts, all triangulated together. This flexibility is one reason the case study method is used so widely across psychology, education, sociology, and political science. A researcher studying how a single government school implemented a new curriculum policy, for instance, might combine classroom observation, interviews with teachers and the principal, and a review of attendance and assessment records, all within that one school’s boundaries.

Despite its popularity, case study research has never had full agreement among methodologists on how it should be designed. Some scholars treat it as a distinct methodology in its own right, while others see it simply as a strategy for organising data collected through other qualitative methods, and this lack of consensus is part of what makes designing a rigorous case study genuinely demanding, as researchers examining its epistemological foundations have pointed out.

Single case or multiple cases 🔗

Researchers can study one case in depth, or compare several cases against each other to spot patterns across different contexts. A single case study of one exceptional school might explain what happened there specifically, while a multiple case study comparing five schools might reveal what conditions tend to produce that outcome more broadly.

Choosing the right method for your research question 🔗

These five methods often get lumped together as “qualitative research,” but they answer fundamentally different questions. If you want to understand one person’s journey, biography fits. If you want the shared essence of an experience across people, phenomenology fits. If you’re trying to build a new theory from scratch, grounded theory is designed for that. If your interest is a group’s culture and daily life, ethnography is the natural choice. And if you need a thorough, contextualised picture of one bounded case, that’s exactly what case study research is built for. Selecting the wrong method for your question usually shows up later, in data that doesn’t quite answer what you set out to ask, which is why careful thinking about participant selection and study design at the outset matters so much across all five approaches.

None of these methods are mutually exclusive either. It’s common to see grounded theory borrow ethnographic fieldwork techniques, or a case study lean on phenomenological interviewing, when the research question calls for it.

What do you think? If you were studying how first-generation learners experience higher education in India, which of these five methods would you reach for first, and why? Can you think of a research question from your own field where combining two of these approaches would work better than using just one?

References

1. https://www.tandfonline.com/doi/full/10.1080/0142159X.2025.2478871
2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082033/
3. https://newprairiepress.org/aerc/2013/papers/5/
4. https://link.springer.com/chapter/10.1007/978-981-95-1892-0_14
5. https://ebooks.inflibnet.ac.in/antp13/chapter/case-study-method/
6. https://journals.sagepub.com/doi/10.1177/0038022920970318
7. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697429/