FMHU5003 Chap.1 Qualitative Inquiry in Health
Qualitative Inquiry in Health
This chapter explains why qualitative inquiry is suited to questions about meaning, process and context in health. It distinguishes qualitative aims from measurement, shows why ordinary settings and researcher subjectivity matter, and compares deductive, inductive and abductive reasoning.
The practical focus is method fit: students learn to connect the kind of knowledge sought to the evidence a qualitative design can generate and to limit conclusions accordingly. Qualitative work is especially valuable when a phenomenon is new, complex, poorly understood or difficult to reduce to measurement.
It can explain how a programme works, why people respond differently and how social, cultural, economic or institutional conditions shape a health experience. That depth does not create automatic generalisability. The chapter therefore pairs every insight with a boundary and treats reflexivity as a concrete account of how knowledge was produced.
What this chapter covers
- 01
Words as data and meaning as an object of inquiry
- 02
Ordinary settings, history and context
- 03
Researcher subjectivity and reflexivity
- 04
Qualitative and quantitative purposes
- 05
Deductive, inductive and abductive reasoning
- 06
Claims that stay proportional to contextual evidence
Worked example · free
Explain a surprising clinic mismatch
- +1Use deduction to state what the accessibility claim would predict.
- +1Use induction to compare recurring patterns across patient accounts.
- +1Use abduction to develop a plausible explanation and identify further evidence needed.
Key terms
- Qualitative inquiry
- A research approach that studies meaning, process and context through words, observations and interactions.
- Reflexivity
- Systematic examination of how the researcher shapes access, data generation, interpretation and claims.
- Abductive reasoning
- Reasoning from a surprising observation toward a plausible explanation that remains open to checking.
Qualitative Inquiry in Health FAQ
When is a health question qualitative?
A question is qualitative when it seeks an account of meaning, process, experience or context. The deciding feature is the knowledge sought, not whether an interview happens to be used. A frequency estimate or causal comparison remains quantitative even if people answer questions in words. A strong justification also identifies why the ordinary setting and participants' interpretations matter to the answer.
Why does researcher subjectivity matter?
Researchers make decisions about access, questions, attention and interpretation. Qualitative inquiry treats those influences as matters to examine rather than pretending they disappear. Specific reflexivity helps readers understand how a position shaped the material, which relationships affected what participants could say, and whether another plausible reading remains.
It strengthens accountability without making every interpretation equally persuasive.
How do induction and abduction differ?
Induction develops a broader account from patterns in observations. Abduction begins with something surprising and searches for a plausible explanation. In practice they can interact: a recurring pattern may contain an anomaly that prompts abductive rethinking, followed by further sampling or comparison. Deduction can enter the same loop when an existing theory supplies an expectation to test.
Can qualitative research explain why a programme works?
Yes, when the study examines the processes, meanings and contexts through which an intervention is delivered or experienced. It can reveal mechanisms, burdens and adaptations that an outcome measure does not show. The explanation remains tied to the design and evidence, so it should not be presented as proof of a universal causal effect.
Exam move
Make a two-column page with knowledge sought on the left and defensible method logic on the right. Rewrite measurement prompts as questions about process or meaning, then state what the new question can and cannot establish. For every interpretation, identify the observation or account supporting it, the context that gives it meaning and the researcher's contribution.
Practise explaining one scenario through deduction, induction and abduction without turning the labels into a fixed sequence. Add a third column called claim boundary and force yourself to complete it in every scenario. Compare a frequency question, a causal question and an experiential question about the same health service so the difference in purpose becomes visible.
Read one published abstract and underline claims about meaning or process, then ask whether the methods could actually support them. Build a small reflexive log that records what you expected to find, what surprised you and what changed in your explanation. Before revision ends, practise a one-minute oral answer that defines qualitative inquiry, gives a health example, names the role of context and closes with one limitation.
The goal is flexible reasoning: a new setting should change your evidence and boundaries even when the underlying method principle stays the same. Take one appealing interpretation and actively search the scenario for a case it does not explain. Rewrite the claim so that the exception becomes informative rather than invisible.
In every appraisal answer, distinguish a participant's account from the researcher's analytic explanation and state what additional comparison supports the move between them. This habit prevents a memorable quotation from carrying a conclusion larger than the evidence permits.
