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Getting Started with Qualitative Research
Research Methods in Psychology · Chapter 6: Qualitative Research MethodsSection 6.1 · lesson 35 of 9411 min · free with a free account
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In this lesson
An introduction to methods that capture meaning, context, and lived experience.
- Define qualitative research and its contribution
- Contrast qualitative and quantitative assumptions
- Identify the major qualitative approaches
- Apply the criteria of trustworthiness
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Everything said in the video, section by section (1,455 words). Read along, or search it.
Qualitative Research Methods
Getting Started with Qualitative Research
Chapter six turns to a different family of methods entirely. Qualitative research works with words, images, and observations rather than numbers. It exists because some questions are not about how often something happens. They are about what a thing is, and what it means to the people living it. This first section lays the shared foundations that the whole chapter builds on. By the end, you will be able to define qualitative research, and say what it uniquely contributes. You will separate the two traditions on philosophical grounds, not only on methodological ones. You will name the five major qualitative approaches used in social research today. And you will know how to judge whether a piece of qualitative work is any good. That last skill matters, because the familiar quality checks do not apply here.
Why It Matters
What Numbers Do Not Tell You
Start with what numbers do well, and what they do not. Numbers tell you how often something happens. They tell you much less about what it is, or what it means to the people involved. Take a correlation between unemployment and depression. Suppose it comes out around zero point four five, a solid and meaningful pattern. That number tells you the two move together. It stops there. It cannot describe what it feels like to lose a job. It cannot show how unemployment is experienced differently in different households. And it cannot capture how the meaning of unemployment shifts as months pass without work. Those are questions of meaning, context, process, and lived experience. Qualitative research is the family of methods built to answer them.
Three Defining Features
What Every Qualitative Study Shares
Qualitative research is defined less by doctrine than by what it actually does. Three features show up in nearly every qualitative study. First, the data are not numerical. Interview transcripts, field notes, photographs, video recordings, historical documents. Words, images, sounds, and observations, rather than measurements. Second, the focus falls on meaning and context. The researcher wants to know how the people studied make sense of their own experiences. And how those experiences are shaped by social, cultural, and historical context. Notice what that rules out. You are not counting instances of a phenomenon. Third, the analysis is inductive and iterative. It moves from data toward theory, rather than testing hypotheses fixed in advance.
Side By Side
Qualitative and Quantitative Compared
It helps to see the two traditions laid out side by side. Quantitative work focuses on measurement and patterns. Qualitative work focuses on meaning and context. The data differ. Numbers, scores, and frequencies on one side. Words, images, and observations on the other. Samples differ too. Quantitative samples are larger, and often probabilistic. Qualitative samples are small and purposive, chosen for what they can show. Analysis is statistical in one tradition, interpretive and thematic in the other. The goals part company as well, depth and understanding against generalization and prediction. Even the researcher's role flips, from detached observer to active interpreter. Now resist the temptation to line these up as opposing camps. Most experienced researchers treat them as complementary tools, and many studies use both. The choice is not tribal. It follows from the question being asked.
Ontology
What Social Reality Is Taken To Be
Underneath the methods sit two philosophical questions worth naming. The first is ontology, the question of what social reality actually is. Quantitative researchers often adopt a realist stance. On that view, the social world has properties that exist independently of researchers. And those properties can, in principle, be measured. Many qualitative researchers adopt a constructivist stance instead. Social reality, on this view, is constructed through interpretation, language, and shared meaning. If that is true, it carries a methodological consequence. Reality has to be understood from inside the perspectives of the people constructing it. Both views have defensible versions, and researchers vary in how strongly they hold them.
Epistemology
Where the Researcher Stands
The second philosophical question is epistemology. It concerns the relationship between the knower and the known. Quantitative research often aims at objectivity. That means a distanced, neutral stance, where the investigator's characteristics do not influence findings. Qualitative researchers more often acknowledge something less comfortable. The researcher is part of the research situation, and cannot step outside it. Identity, position, and interpretive framework inevitably shape what gets observed. They shape how it gets understood, too. So the response is not to pretend otherwise. The response is reflexivity. Reflexivity is the ongoing examination of the researcher's own role in producing the research. Here is the part students get backwards. Admitting influence is not a confession of weakness.
A Family Of Traditions
Five Major Qualitative Approaches
Qualitative research is not one method. It is a family of traditions. Each was developed to answer a particular kind of question. Case study asks what we can learn from an in-depth study of a particular instance. Ethnography asks how members of a culture understand and live their daily lives. Historical research asks how preserved records can illuminate past events, processes, and meanings. Grounded theory asks what theoretical account emerges from systematic analysis of qualitative data. Phenomenology asks about the essential structure of an experience, as those who live it perceive it. Read those five questions again and notice something. The differences are in the question asked, not in some ranking of rigor. Choosing among these traditions is a matter of fit.
Judging Quality
Trustworthiness Replaces the Old Criteria
Now the question that decides whether qualitative work gets taken seriously. How do you judge quality, when the usual criteria do not transfer? Reliability, validity, and generalizability were built for measurement. So qualitative researchers use a parallel framework, gathered under the heading of trustworthiness. Five criteria sit under that umbrella. Credibility asks whether the findings are a believable account of the participants' experiences. Transferability asks whether the findings can inform understanding of similar settings. Dependability asks whether another researcher could follow the analytical decisions taken. Confirmability asks whether the findings are grounded in the data, not in the researcher's preconceptions. And reflexivity asks whether the researcher examined and reported their own position. Read them together and one pattern appears. Each demands transparency about how the interpretation was produced.
Earning Trust
Techniques That Support Each Criterion
Criteria without practices are just good intentions, so each criterion has techniques attached. Member checking supports credibility. The researcher takes their interpretations back to participants, and asks whether the account resonates. Thick description supports transferability. That means rich, contextual reporting, detailed enough that readers can judge transferability themselves. Notice who does the judging there. The reader, not the author. Audit trails support dependability and confirmability. An audit trail is a documented record of the decisions made during analysis. Anyone can then follow the reasoning from raw material to conclusion. Reflexive memos support reflexivity, the researcher's running notes on their own evolving thinking. None of this is decoration. It is how a qualitative claim earns its credibility.
Common Objections
Misconceptions, and What They Miss
Qualitative research attracts a standard set of dismissals, and each one misreads the method. The first. Qualitative research is just journalism. In fact it uses systematic procedures for sampling, data collection, and analysis. The second. The samples are too small to be valid. Qualitative samples are small by design. The goal is depth, not statistical representativeness. The third. It is purely subjective. It does acknowledge the role of interpretation, then answers it with systematic technique. The fourth. You cannot generalize from qualitative findings. Generalization operates differently here. It works through analytic transferability. And the fifth. Qualitative research is easier than quantitative research. It often demands more time, and more sustained engagement with participants.
Sample Size
Small by Design, Stopped by Saturation
Sample size deserves its own moment, because it is where most arguments start. Picture a reviewer dismissing an interview study because it included only twenty participants. The number sounds small, if you are thinking about statistical power. But statistical power is not what this sample was ever for. Qualitative sampling is purposive, and small on purpose. It aims at depth of understanding, not at representing a population. The relevant standard is saturation. Saturation is the point where more data collection produces no new categories or insights. When fresh interviews stop changing the analysis, the analysis is sufficiently developed. So the honest answer to that reviewer is not an apology about the number. It is an account of what those participants were chosen to reveal.
Asking Better Questions
How to Evaluate Qualitative Work
Finish with the practical habit this section is really teaching. When you evaluate a qualitative study, the useful questions change. Not how many participants, and not what the p value was. Ask instead whether the analysis is grounded in the data. Ask whether the researcher has reflected on their own role in producing it. And ask whether the interpretation shows you something you could not otherwise have seen. That last question is the demanding one, and the one most worth asking. Different methods answer to different standards. The chapter now moves from foundations to the traditions themselves. Next come two of the most widely used, case study and ethnography. Both study the particular in enough depth to illuminate something general.
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