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    Qualitative Data Analysis: Explorations with NVivo (Understanding Social Research) (Spiral bound) By (author) Graham R. Gibbs, Foreword by Alan Bryman

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    Description"A welcome step in the advance of qualitative methods, this text integrates software at every stage of a thorough introduction to approaches and techniques. With clear examples, each step in NVivo is clearly described and thoughtfully explained in the context of what is being done and how it supports qualitative inquiry." - Professor Lyn Richards, Director, QSR "...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 How can qualitative analysis of textual data be undertaken? How can the core procedures of qualitative analysis be followed using computer software such as NVivo? How can the extra tools NVivo offers the analyst be used to support and improve qualitative analysis? Qualitative Data Analysis introduces readers to key approaches in qualitative analysis, demonstrating in each case how to carry them out using NVivo. NVivo is a new, 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 NVivo. In most cases, the analysis is illustrated using documents from a single data set. There are copious figures, tables, guides and hints for good practice. The result is an invaluable text for undergraduates and an essential reference for postgraduates and researchers needing to learn both qualitative analysis techniques and the use of software such as NVivo.

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  • Full bibliographic data for Qualitative Data Analysis

    Qualitative Data Analysis
    Explorations with NVivo
    Authors and contributors
    By (author) Graham R. Gibbs, Foreword by Alan Bryman
    Physical properties
    Format: Spiral bound
    Number of pages: 288
    Width: 182 mm
    Height: 246 mm
    Thickness: 19 mm
    Weight: 540 g
    ISBN 13: 9780335200849
    ISBN 10: 0335200842

    B&T Book Type: NF
    BIC E4L: SOC
    BISAC V2.8: NON000000
    B&T Modifier: Subject Development: 20
    Nielsen BookScan Product Class 3: S3.1T
    B&T Modifier: Region of Publication: 03
    BIC subject category V2: JHBC, UF
    Warengruppen-Systematik des deutschen Buchhandels: 17400
    Abridged Dewey: 613
    B&T Modifier: Academic Level: 02
    B&T General Subject: 229
    B&T Modifier: Text Format: 01
    DC21: 300.72
    BISAC V2.8: SOC026000
    B&T Merchandise Category: COM
    LC subject heading: , ,
    BISAC V2.8: SOC024000, COM051240
    LC classification: RA776.9 .C437 2002, RA776.9.C4
    Thema V1.0: JHBC, UF
    Illustrations note
    glossary, references, index
    Imprint name
    Publication date
    01 March 2002
    Publication City/Country
    Milton Keynes
    Author Information
    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.
    Review quote
    "...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
    Table of contents
    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.