Qualitative data analysis : explorations with NVivo /

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Bibliographic Details
Author / Creator:Gibbs, Graham, 1948-
Imprint:Buckingham [Eng] ; Philadelphia, Pa. : Open University, ©2002.
Description:xxiv, 257 pages : illustrations ; 24 cm.
Language:English
Series:Understanding social research
Understanding social research.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11960198
Hidden Bibliographic Details
ISBN:0335200842 (spiral)
0335200850 (cased)
0335200850
9780335200856
0335200842
9780335200849
Notes:Includes bibliographical references (pages 247-250) and index.
Summary:"For many years, social cognition models have been at the forefront of research into predicting and explaining health behaviours. Until recently, there have been few attempts to go beyond prediction and understanding to "intervention"--But now the position has changed, and a number of excellent interventions have been set up. The purpose of this book is to bring them together in one volume." "There are nine chapters each addressing a particular behaviour or set of behaviours. The chapters follow a common structure: a presentation of the "epidemiological facts" about the behaviour and why an intervention was needed; an outline of the way in which the theoretical model being used was adapted for the intervention; a presentation of the experimental results; and a discussion of their theoretical and practical implications. The book ends with a chapter of commentary on the challenges of devising theory-based interventions."--Jacket.
Table of Contents:
  • List of tables
  • List of figures
  • Step-by-step guides
  • Series editor's foreword
  • Acknowledgements
  • Introduction
  • 1. What is qualitative analysis?
  • What are qualitative data?
  • The two-paradigms approach
  • Contrasting logic
  • Strategies of qualitative research
  • Computer-assisted qualitative data analysis
  • The quality of qualitative research
  • Conclusion
  • Further reading
  • 2. Getting started with NVivo
  • Documents and nodes
  • New project
  • Backing up
  • Job Search project
  • The Document Explorer
  • The Document Browser
  • The parts of the document
  • Browse the document, edit and change style
  • Document properties
  • Make a report on a document
  • Nodes
  • Node Explorer
  • Other ways of creating nodes
  • Node report
  • Searching
  • Refining the coding at a node
  • Conclusion
  • Further reading
  • 3. Data preparation
  • Styles
  • Parts of the document
  • Conclusion
  • Further reading
  • 4. Coding
  • Nodes and coding
  • Data-driven or concept-driven?
  • The node definition
  • What can nodes be about?
  • Thinking about the text
  • Selecting the text
  • Coding at already created nodes
  • Seeing what is coded at a node
  • Hierarchy of nodes
  • Functions of the node tree
  • Types of node in NVivo
  • Organizing tree nodes
  • Coding away from the computer
  • Refining the coding
  • Conclusion
  • Further reading
  • 5. Memos and attributes
  • Memos
  • Linking documents and memos
  • DataBites and annotations
  • How to use document, node and DataBite linking
  • Attributes
  • Conclusion
  • Further reading
  • 6. Searching for text
  • What to search the text for
  • Simple searching
  • The NVivo Search Tool
  • An example using the Job Search project
  • Metaphors and accounts
  • Sets
  • Conclusion
  • Further reading
  • 7. Developing an analytic scheme
  • Ways of coding at nodes
  • Creating and manipulating a node tree
  • Pattern searching and checking hunches
  • Node and attribute searching in NVivo
  • Examples of questions addressed by searching with nodes and attributes
  • Conclusion
  • Further reading
  • 8. Three analytic styles
  • Structured analysis
  • Grounded theory
  • Narrative, life history and biography
  • Conclusion
  • Further reading
  • 9. Visualizing the data
  • Matrices and tables
  • Matrix searching in NVivo
  • Charts and diagrams
  • The NVivo Model Explorer
  • Conclusion
  • Further reading
  • 10. Communicating
  • The need to write
  • Organization
  • Quality
  • Teams
  • Conclusion
  • Further reading
  • Glossary
  • References
  • Index