What is thematic analysis?

Researching what is thematic analysis to ensure that it's the correct method for analysing my transcripts...https://youtu.be/4voVhTiVydc

Notes:

• Thematic Analysis is an umbrella term for a wide range of approaches
• Three main schools of TA. 1) Coding 2) Codebook 3) Reflexive
• Definition of a theme - bucket and storybook.
• Bucket theme is a 'domain summary'. Identifies an area or domain of the data and summarises what the participants said in relation to that area.  Often a surface level. Overview statements and observations, but without a story. Does it represent an underdeveloped theme? Braun and Clarke believe so. These types of 'bucket themes' lack depth. Broad domain summaries are not fully realised themes (storybook themes).
• Themes need to be named very well. Almost like an 'abstract' or an 'invitation' and not to be one word. Hold in mind what 
• Storybook theme (fully realised theme) - is a patterning of shared meaning underpinned by a central concept or idea. Storybook themes are interpretive, creative and tells stories about the data. What is the central idea? What ties all of my analytical observations? It's about drawing data from multiple sources. It's not just a summaries. They are built from codes. Themes aren't a starting point, they are an end point.
• More interpretive and interrogating
• Reflexive qualitative research is open ended, exploratory exciting, emphasis as research as subjectivity rather than a problem to be managed
• Reflexive approaches TA is 'big Q' meaning - representing qualitative techniques and qualitative philosophy. Organic and iterative. 
• Aim of coding is to reflect how the researcher is conceptualising the data. And how that conceptualisation is deepening. Depth and engagement of coding process.
• RTA usually has a social justice orientation - maybe simple as giving voice. It's the researcher that makes the research great.
• Can be used in case-study. Narrative and IPA usually have an ideographic focus, but examples of it being used in case-studies is possible. But rule of thumb is TA sampling size - at least of 5 or 6 interviews, data is rich, sample homogeneous.
• Narrative thematic analysis can be combined 'mash-up' with TA
• Maybe template analysis or framework analysis?