| 1. Data familiarisation |
Audio-recordings of interviews were transcribed verbatim (RS). Transcripts were read and re-read (RS). Initial ideas were noted (RS) |
| 2. Generating initial codes |
Systematic coding of entire data set on a line-by-line basis was performed (codes were assigned to chunks of data—words, sentences or paragraphs) (RS). Extracts of data relevant to each code were collated (RS). Written reflection on interesting features was produced (RS). |
| 3. Searching for themes |
Excerpts from each code were re-read (RS). Codes were collated into potential themes (RS). |
| 4. Reviewing themes |
Research team members checked whether the themes worked in relation to the coded extracts (RS, MD-H). All transcripts were re-read to establish whether themes worked in relation to the data set (RS). |
| 5. Defining and describing themes |
On-going analysis was performed to refine the specifics of each theme and the overall narrative of the analysis (RS, MD-H). Research team members checked that each theme captured something important in relation to the overall research question. |
| 6. Producing the report |
Appropriate examples of extracts that best represent each theme/subtheme were selected (RS, MD-H, AB). The analysis was linked to the research questions and literature (RS, MD-H, AB). A final written report was produced (RS, MD-H, AB). |
