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Step 1: Familiarisation with data — read, re-read, and listen to recordings of interviews/focus groups |
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Step 2: Generate initial codes — systematically record features of the data that are interesting across the data |
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Step 3: Identify themes — sort code extracts into overarching themes. Develop subthemes where appropriate |
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Step 4: Review of themes — themes are combined, refined, redefined, or separated. From this map, a framework is devised |
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Step 5: Defining and naming themes — another stage of refinement of the themes and subthemes; concise working definitions of each theme are added |
