Description of the process


Familiarising yourself with your data:

Transcribing data (if necessary), reading and rereading the data, noting down initial ideas.


Generating initial codes:

Coding interesting features of the data in a systematic fashion across the entire data set, collating data relevant to each code.


Searching for themes:

Collating codes into potential themes, gathering all data relevant to each potential theme.


Reviewing themes:

Checking in the themes work in relation to the coded extracts (Level 1) and the entire data set (Level 2), generating a thematic “map” of the analysis.


Defining and naming themes:

Ongoing analysis to refine the specifics of each theme, and the overall story the analysis tells; generating clear definitions and names for each theme.


Producing the report:

The final opportunity for analysis. Selection of vivid, compelling extract examples, final analysis of selected extracts, relating back of the analysis to the research question and literature, producing a scholarly report of the analysis.