2.4.4—Thematic analysis

Thematic analysis organises qualitative material—such as interviews, diaries or messages—into codes, categories and broader themes. In an inductive analysis, themes are developed from the data rather than imposed in advance.

The researcher moves from repeated features to an interpretation of what they mean for the question. Reflexivity matters because prior expectations can influence which passages are noticed, grouped or treated as exceptions.

A set of interviews might contain repeated references to blame, fear and control. Those codes can form a theme about coercion, but the analyst should show how excerpts support it and whether disconfirming accounts were considered.

A theme is not simply a topic label or a frequency count. It is an evidence-supported pattern with a clear coding route, and qualitative richness does not remove the need for transparency.

A defensible sequence is: become familiar with the full dataset; code relevant features; group related codes into candidate themes; review themes against coded extracts and the dataset; define and name each theme; then write the analysis using extracts and interpretation linked to the research aim. Researchers should record revisions and actively look for contradictory material rather than forcing every response into the first pattern noticed.