- 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

5) Break

- 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 

6) Evaluate if the themes were appropriate

- 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


Claremont Graduate University

Thematic analysis is a specialized nonstatistical technique used in qualitative research to analyze relatively unfiltered data by focusing on the prominent themes that emerge. Researchers use this method to deeply understand participant experiences rather than relying on numerical statistics.

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

6 Steps for Thematic Analysis 

The goal of analysis is to see how insights gained could create opportunities for change - to reframe how we see the world and our place in it.

The Goal of Thematic Analysis

- Software (CAQDAS)
- Journaling
- Affinity Diagram Techniques 


3 Common Types of Data Analysis Methods

- Labeled chunk of text as a word or a phrase
- Used as a keyword for as body of text 
- Allows researchers to find similarities, differences, and relationships between texts, which can help researchers land major themes 
- Adding the description of a code is suggested if coding requires more than one person or coding is done overtime 


Code in Thematic Analysis

- Interviews
- Focus groups 
- Diary studies 
- Field studies 

Common Thematic Analysis Data Collection Types

- Description of beliefs, practices, and needs
- A content that arises from different participants or sources 


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