Claremont Graduate University

- 1) Data gathering 
- 2) Read data from beginning to the end 
- 3) New codes that represent a theme

- 4) Summarize codes into themes 
- 5) Break 
- 6) Evaluate if the themes were appropriate 
* Steps 4 to 6 need to be repeated


6 Steps for Thematic Analysis 

Rosala, M. (2019, September 29). How to Analyze Qualitative Data from UX Research: Thematic Analysis. https://www.nngroup.com/articles/thematic-analysis/

References: Thematic Analysis

- Data entry process 
- Transcribing interviews or focus groups  


1) Data Gathering 

- Must read everything to familiarize the data 
- Start involving teams in projects by having workshops 
- During workshops:
- Have research questions on the boards 
- Highlight what they believe to be important
- Give each member a transcript and get through them. Once finished, pass down the transcript and get a new one. The process should be repeated until everyone engages all the data. 
- Group discussion


2) Read everything 

Coding
    - Highlighted sections should be categorized to compare different themes
    - Codes can be created before or after the data group 


 3) New codes that represent a theme

- Explore similarities, differences, or contradictions between codes to find essential themes

4) Summarize codes into themes

- Ask team members to review the essential themes to reduce biases 
- Consideration for critical examination: 
       - Need data that support the theme
       - A lot of examples that support the theme  
       - Need agreement with themes between coders 

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