Qualitative inquiry examines meaning, process, and context
Aliases: qualitative research · interpretive inquiry · process explanation
What it is
“Why and how” is a heuristic for selecting qualitative inquiry when a study asks how action unfolds, how people interpret a situation, which contextual conditions shape a choice, or what existing constructs omit. It examines language, behavior, artifacts, event sequences, and interaction. It does not assume that asking a participant “why” reveals a true causal mechanism. Qualitative work can produce contextual explanations, process models, concepts, and descriptions of variation; its defining move is preserving meaning and context, not avoiding numbers.
Why it happens
The same visible behavior can arise from different goals and constraints. Repeatedly returning to a prior screen may indicate disorientation, checking, comparison, or lost state. Interviews, field observation, and artifact analysis place behavior back into an event sequence. Researchers compare cases, interpret meaning, and seek negative cases to build an account of what process produces which outcome under which conditions. Explanation emerges through movement between evidence and analytic framing, not by copying a participant’s stated reason.
Studying it
Designs may use semi-structured interviews, contextual observation, diaries, conversation analysis, or case studies according to the phenomenon. Sampling usually seeks variation relevant to the question rather than statistical representativeness. Reflexive thematic analysis, framework analysis, grounded approaches, and process tracing carry different epistemic commitments and should not be treated as interchangeable recipes. Preserve a chain from source excerpts to codes, themes, and claims; report researcher position, negative cases, and interpretive change. Member reflection can correct factual errors but does not certify a single truth.
Where it stops holding
A small set of qualitative cases cannot estimate population prevalence, and retrospective accounts alone cannot establish behavioral causation. Counts may assist qualitative analysis, but numbers do not create statistical generalization. “Why” here primarily concerns meaning, reasons, and process explanation; identifying whether a treatment caused an outcome requires comparison, temporal order, and control of rival accounts. Saturation depends on scope, heterogeneity, and analytic granularity rather than a fixed participant count.