1. When and why do we need themes?

Finding a theme is at the heart of qualitative research and brings together smaller categories or ideas that represent significant trends in your qualitative data. This module will explore the qualitative data analysis process and the steps it takes to find themes in your data.

2. Organizing and transcribing your data

This module will take the first step in analyzing qualitative data: organizing your data into transcripts, which are the written versions of your data. It will look at how to read and make sense of your written data and transcribe this into something you can work with.

3. The basics of developing codes

An understanding of what coding and codes are before you begin a deeper analysis is needed. Codes are the building blocks of the final themes. This module will give a clear understanding of what codes are and the different approaches to coding, so you can start to organize and analyze your data.

4. How do I develop codes?

Now we have looked at what code is and some approaches to coding, you can begin coding properly. This module will look at how to start making sense of your data and what to look for, using strategies to identify the relationships within your data to develop codes.

5. How do I categorize codes?

We are now at the next stage in the process, taking analysis one step further. This module will evaluate the codes we have found and develop them into categories.

6. Finding meaningful themes

We are now ready for the final stage in the qualitative data analysis process. Once you’ve developed your categories you can start to develop themes. This module will look at how to find themes to support your data analysis.