Summary
Contents
Subject index
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!
Design methodologies,data management and analytical approaches
Design methodologies,data management and analytical approaches
In this chapter, the major analytic traditions of qualitative inquiry: iterative; subjective; investigative and enumerative will be discussed and linked to current design methods. How to manage your data and how to undertake preliminary data analysis will also be addressed in some detail.
Key Points
- What constitutes data in qualitative research
- Design methodologies
- Traditions of inquiry and analytic approaches
- iterative
- subjective
- investigative
- enumerative
- How to match the analytical approach to the data type
- How to prepare data for analysis
- transcription
- preliminary data analysis
What can constitute data in qualitative research?
The major data types lie in:
- Face-to-face/telephone interview
- Email and internet interviews
- Focus groups (audio and video)
- Nominal groups
- Delphi groups
- Observation notes, video, webcam, film, photos
- Document collation (existing textual, aural and visual)
Document collation can include information from ...
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