Thematic analysis Flashcards
(10 cards)
What are the 6 stages of thematic analysis
Braun and Clarke (2006)
- Familiarisation with the data - reading and re-reading the data to immerse yourself in it
Begin noting your initial thoughts on the data - Generating initial codes - Systematically working through the data and tagging segments with short labels (codes) that summarise their meaning
Stay open—codes can be theory-driven (deductive) or data-driven (inductive). - Organise - review codes and sort into broader categories/themes
Goal: Start grouping similar codes together to form candidate themes. - Reviewing themes - check whether themes accurately represent the data
Goal: Refine themes—combine, split, or discard them if needed. - Finalise - finalising what each theme captures and giving them clear, concise names.
- Write-up - Detailed analysis of themes in results and discussion
Writing up your analysis with evidence (quotes from the data) to support each theme.
Goal: Present a compelling narrative that answers your research question through your thematic analysis.
What is thematic analysis
It is a widely used method in qualitative research for identifying, analysing, and reporting patterns (themes) within data.
When can you use Thematic Analysis
It is independent of theory and epistemology and It can be applied across a range of theoretical and epistemological approaches (Braun & Clarke, 2006)
Impact of thematic analysis
Research incorporating thematic analysis can have significant policy and practice implications through its contribution to our understanding of the human experience
Policy implications of TA example
Brooks et al
The results demonstrated the depth of relationships with companion animals and the multi-faceted way pets support their owners to manage their mental illness.
This paper was quoted in the House of Lords - findings were important and needed to be put into practice
Advantages of thematic analysis - flexibility
Theoretically flexible - Can be applied across a range of theoretical frameworks (realist/constructionist) and research topics. Suitable for both inductive and deductive approaches.
Varied data - Can also be adapted for different amounts of data and it can be used with any type of qualitative data
Advantages of thematic analysis - Straightforward
The coding process is flexible and natural, but still follows a clear and structured method—making it helpful for beginners.
You don’t need to break the data into tiny, highly detailed codes; a more general, broad approach is fine.
If you want, you can organize your codes into main themes and smaller sub-themes.
Disadvantages of thematic analysis - design
Lack of depth compared to other methods such as IPA
Disadvantages of thematic analysis - the analysis
Thematic analysis often uses a broad approach to themes, which can sometimes make the analysis feel shallow or lacking depth.
Disadvantages of thematic analysis - theory
No theory generation Unlike grounded theory, it does not aim to build a new theory—more descriptive than explanatory.