Qualitative data analysis from start to finish / Jamie Harding
Material type:
- 9780857021397
- H62 H37 2013
Item type | Current library | Collection | Call number | Copy number | Status | Barcode | |
---|---|---|---|---|---|---|---|
![]() |
Philippine Christian University Manila Reserve | College | H62 H37 2013 (Browse shelf(Opens below)) | 1 | Available | 50695 |
Includes bibliographical reference and index
1. Introduction -- 2. Beginning study -- 3. Collecting and managing interview and focus group data -- 4. First stages of analysing interview data - making summaries and making comparisons -- 5. Using codes to analyse illustrative issue -- 6. Identifying conceptual themes and building theory -- 7. Alternative approaches to analysing qualitative data -- 8. Anlysing focus group data -- 9. Writing about research (1) - methodology and findings -- 10. Writing about research (2) - making links to the literature.
Are you new to qualitative research? Are you planning to do interviews or focus groups and wondering what on earth you'll do with the data once it's collected? Do you have a pile of transcripts staring at you right now and are you lost as to how to identify themes, code your data and work out what it all means? Fear not, help is here! In this brilliant new book, Jamie Harding breaks down the process of analysing qualitative data into simple, retraceable steps. After providing some top tips for designing your research and collecting your data, he takes you through the different stages of analysis, from the first reading of your transcripts, to presenting your findings in a report or dissertation. For each stage of the process there are demonstrations using real data and exercises for you to perform yourself. He unpicks what happens behind the scenes in qualitative data analysis - the bit that's hard to learn without seeing it happen and trying it for yourself. While acknowledging that there are many different forms that qualitative data analysis can take, the book provides a series of ideas and examples that you will find invaluable when analysing your own data.
There are no comments on this title.