In this fully updated and expanded Second Edition, Carol Grbich provides a guide through current issues in the analysis of qualitative data. Packed with detailed examples, a glossary, further reading lists and a section on writing up, this easy to read text is exactly what you need to get you started in qualitative research. The new edition covers analytical approaches including: Grounded theory Classical, existential and hermeneutic phenomenology Feminist research including memory work Classical, auto- and cyberethnography as well as ethnodrama Content, narrative, conversation and discourse analysis Visual interpretation Semiotic, structural and poststructural analyses A one-stop-shop for students new to qualitative data analysis!
Coding involves the grouping and labelling of data in the process of making it more manageable both for display and to provide answers to the research question/s. However, in the language of qualitative research ‘codes’ and ‘themes’ have become interchangeable and researchers need to be transparent about how they are utilising such labels in the data analytic process.
- Coding is a fairly recent phenomenon and has been reinforced by:
- grounded theory methods
- computer management of data
When to use: When using qualitative computer management programs or if, when and as decided by the researcher.
Type of questions best suited: any, but most useful where a large amount of data has been collected.
Strengths: One way of breaking into the data set.
Weaknesses: Can decontextualise data.