In more detail
In reflexive thematic analysis a theme is more than a topic. Braun and Clarke describe a theme as a pattern of shared meaning held together by a central organising concept: the idea that makes a set of codes belong together. A theme says something about the data in relation to the research question, rather than listing everything participants said about a subject.
Themes are developed by the researcher. They do not sit in the data waiting to be found, and they are not the same as the questions in an interview schedule. They are generated from codes in phase 3, reviewed against the coded data and the whole dataset in phase 4, then refined, defined and named in phase 5. A theme often changes shape several times before the write up.
A useful check is whether the theme can be stated in a sentence or two that someone else could apply. If the only thing holding the quotes together is that they mention the same topic, it may be a topic summary rather than a theme.
In Themescape
Each theme is a solid circle in its own colour on the node network, a coloured row in the file tree and a top level box in the hierarchy. Everything beneath a theme takes a lighter fill of its colour. Themes come from the theme column of the Data tab, and their working definitions from the Framework tab.
A short example
From the Working Well dataset
Boundaries and Overwork
Working definition: How participants experience the loss of a clear edge between work and home, and the strategies they use to reinstate one.
Blurred Work HoursAlways on ExpectationsProtecting Personal TimeWeekend CreepMeeting Overload
Made up data about working from home. Nothing in it comes from a real study.
Where to read more
Article: Writing working definitions that survive review ›
See your themes as a node network ›
Braun, V., & Clarke, V. (2022). Thematic analysis: A practical guide. SAGE.