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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.

This book is perfect for all social science students who are struggling with data analysis and are looking for someone to guide the way.

Tabla de contenidos provista por Syndetics

• About the author(p. xi)
• Acknowledgements(p. xiii)
• 1 Introduction(p. 1)
• Structure of the book(p. 2)
• The interviews and the focus group(p. 3)
• Introduction to data analysis(p. 4)
• Validity(p. 5)
• Definitions(p. 6)
• 2 Beginning the study(p. 7)
• Introduction(p. 8)
• Qualitative and quantitative research(p. 8)
• Mixed methods(p. 10)
• Critical research(p. 11)
• Induction and deduction(p. 12)
• Research designs(p. 15)
• Sampling(p. 16)
• Negotiating access(p. 18)
• Maximising response(p. 19)
• Forms of data collection(p. 19)
• Ethical issues(p. 24)
• Summary(p. 27)
• Further reading(p. 28)
• 3 Collecting and managing interview and focus group data(p. 29)
• Introduction(p. 30)
• Distinctive features of qualitative interviews(p. 30)
• Types of qualitative interview(p. 30)
• Modes of data collection(p. 33)
• Qualities of the qualitative interviewer(p. 34)
• Planning the interview and the interview guide(p. 36)
• Unplanned probes(p. 40)
• Planning a focus group(p. 41)
• Moderating a focus group(p. 45)
• Piloting for interviews and focus groups(p. 48)
• Recording and transcription of interview and focus group data(p. 49)
• Summary(p. 52)
• Further reading(p. 53)
• 4 First stages of analysing interview data - making summaries and making comparisons(p. 55)
• Introduction(p. 56)
• Summarising interviews(p. 56)
• Summarising interviews: examples(p. 57)
• Summarising interviews: exercise(p. 61)
• The constant comparative method(p. 66)
• Reaching findings using the constant comparative method(p. 74)
• Summary(p. 79)
• Further reading(p. 80)
• 5 Using codes to analyse an illustrative issue(p. 81)
• Introduction(p. 82)
• Step 1 identifying initial categories based on reading the transcripts(p. 83)
• Step 2 writing codes alongside the transcripts(p. 84)
• Step 3 reviewing the list of codes, revising the list of categories and deciding which codes should appear in which category Complete list of codes used in relation to reflective practice(p. 93)
• Step 4 looking for themes and findings in each category(p. 99)
• Summary(p. 104)
• Further reading(p. 105)
• 6 Identifying conceptual themes and building theory(p. 107)
• Introduction(p. 108)
• Characteristics of conceptual themes(p. 108)
• Two helpful tools for identifying conceptual themes(p. 110)
• Analysing a conceptual theme step by step(p. 112)
• Summary(p. 125)
• Further reading(p. 126)
• 7 Alternative approaches to analysing qualitative data(p. 127)
• Introduction(p. 128)
• Deductive coding and analysis(p. 129)
• Narrative analysis(p. 132)
• Discourse analysis(p. 138)
• Computer assisted qualitative data analysis (CAQDAS)(p. 145)
• Summary(p. 147)
• Further reading(p. 148)
• 8 Analysing focus group data(p. 149)
• Introduction(p. 150)
• Individual data analysis(p. 151)
• Group data analysis(p. 153)
• Avoiding reaching findings that lack validity(p. 159)
• Group interaction data analysis(p. 160)
• Combining analysis of the 'how' and the 'what'(p. 164)
• Summary(p. 166)
• Further reading(p. 168)
• 9 Writing about research (1) - methodology and findings(p. 169)
• Introduction(p. 170)
• Checking validity(p. 171)
• Reflexivity(p. 172)
• The methodology section(p. 173)
• Example of a methodology section(p. 174)
• Writing about qualitative findings(p. 176)
• Summary(p. 184)
• Further reading(p. 184)
• 10 Writing about research (2) - making links to the literature(p. 185)
• Introduction(p. 186)
• The literature review(p. 187)
• The role of the conclusion(p. 193)
• An example - writing the literature search and conclusion in relation to student employment(p. 195)
• Summary(p. 202)
• Further reading(p. 203)
• Appendix 1 interview with Fern(p. 205)
• References(p. 213)
• Index(p. 221)

Notas de autor provistas por Syndetics

Jamie Harding is a Senior Lecturer in Research Methods in the Department of Social Sciences at Northumbria University.