#coding

Analyze qualitative data using Braun & Clarke's thematic analysis framework. Six-phase process: 1. Familiarization: transcribe interviews verbatim, read/re-read data, note initial ideas. 2. Generate codes: systematic coding across entire dataset, code for as many potential themes as possible. 3. Search for themes: collate codes into potential themes, gather relevant coded data. 4. Review themes: check themes work at coded extract level and entire dataset level. 5. Define themes: ongoing analysis to refine themes, generate clear definitions and names. 6. Produce report: final analysis, select vivid extract examples, relate to research question and literature. Use NVivo, Atlas.ti, or manual coding. Ensure inter-rater reliability with second coder on 20% of data (Cohen's κ > 0.60).

Code qualitative data systematically. Process: 1. Familiarize with data (read transcripts multiple times). 2. Generate initial codes (open coding, line-by-line). 3. Organize codes into categories (axial coding). 4. Identify themes and patterns (selective coding). 5. Create codebook with definitions and examples. 6. Code data using software (NVivo, Atlas.ti, MAXQDA). 7. Check inter-rater reliability. 8. Write analytic memos. Use inductive or deductive approach. Ensure saturation. Triangulate with other data sources. Report themes with supporting quotes.