An introduction to key approaches in qualitative analysis, demonstrating in each case how to carry them out using NVivo. NVivo is a powerful computer package from QSR, the developers of NUD.IST. It provides the researcher with an extensive range of tools and the book shows clearly how each can be used to support standard qualitative analysis techniques such as coding, theory building, theory testing, cross-sectional analysis, modelling and writing. The book demonstrates how different styles of analysis, such as grounded theory and narrative, rhetorical and structured approaches, can be undertaken using NViro. In most cases, the analysis is illustrated using documents from a single data set. There are many figures, tables, guides and hints for good practice. The result is a valuable text for undergraduates, postgraduates and researchers needing to learn both qualitative analysis techniques and the use of software such as NVivo.
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An introduction to key approaches in qualitative analysis, demonstrating how to carry them out using NVivo. NVivo is a powerful computer package from QSR. It provides the researcher with a range of tools and the book shows how each can be used to support standard qualitative analysis techniques.
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Series editor's foreword - Acknowledgements - List of tables - List of step-by-step guides - Introduction - What is qualitative analysis? - Getting started with NVivo - Data preparation - Coding - Memos and attributes - Searching for text - Developing an analytic scheme - Three analytic styles - Visualizing the data - Communicating - Glossary - References - Index.
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"...a very detailed, clearly expressed and structured text which will be of immense help to anyone wanting to use NVivo for a research project." - Professor Colin Robson, author of Real World Research

Produktdetaljer

ISBN
9780335200856
Publisert
2002-02-01
Utgiver
Vendor
Open University Press
Høyde
230 mm
Aldersnivå
UU, UP, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
224

Forfatter
Foreword by

Biographical note

Graham R. Gibbs is Reader in Social Science Computing and Head of the Department of Behavioural Sciences at the University of Huddersfield. He has taught both quantitative and qualitative methods to undergraduate and postgraduate students for over 20 years. He currently teaches research design and qualitative analysis to masters students. He is also interested in computer assisted learning and is director of the coMentor virtual learning environment project.