Thematic Analysis

• AO1 - made numerical

  Qualitative data is made numerical by counting the instances certain themes and categories appear in the data
• AO1 2 - Aim is to

  Aim is to analyse data without losing its meaningfulness, but making it more manageable by reducing it into patterns, trends and themes. 2 methods: ​
• AO1 3 -

  INDUCTIVE- Researcher would read and reread data and themes would emerge without imposing ideas or expectations.​
• AO1 4 -

  2. DEDUCTIVE- Specify themes that they will look for before analysis of data.​
• STEPS: ​

  1. Gather ​2. Journal ​3. Prepare data ​4. Appoint codes​ 5. Familiarise ​6. Ideas​ 7. Identifying themes ​8. Naming themes ​9. Reliability/ validity check​ 10. Report of the results​
• EVAL​

  :)  Encourages researcher to derive themes, so achieves better validity

  ​:) Large data sets, many researchers can apply their interpretation to the data​

  :( Highly subjective data as it requires interpretation, so unscientific

  ​:( Open to researcher bias, not very reliable​