Thematic Analysis: Themes are developed by:*1 pointseveral researchers combining their analytic effort.combining a minimum of five sub-themes.seeing which words occur most often.linking codings together and labeling the theme.

Thematic analysis involves the identification, analysis, and reporting of patterns (themes) within data. The development of themes in thematic analysis is not necessarily about quantifying specific words or phrases, but rather about identifying meaningful patterns related to a specific research question. Here are the steps:

1. Familiarization with the data: This involves reading and re-reading the data, to become familiar with what the data entails.

2. Generating initial codes: This is the process of identifying interesting features of the data relevant to the research question, and coding (labeling) these parts of the data.

3. Searching for themes: This involves sorting the different codes into potential themes, and collating all the relevant coded data extracts within the identified themes.

4. Reviewing themes: This involves checking if the themes work in relation to the coded extracts and the entire data set. At this stage, some themes may be combined, separated, or discarded.

5. Defining and naming themes: This involves identifying the essence of what each theme is about, and determining what aspect of the data each theme captures.

6. Writing the report: This final step involves weaving together the analytic narrative and data extracts, and contextualizing the analysis in relation to existing literature.

So, to answer your question, themes are developed by linking codings together and labeling the theme.