Qualitative Data Analysis: Explorations with NVivo (Understanding Social Research) [Spiral-bound]

Graham Gibbs (Author)

Book Description

ISBN-10: 0335200842 | ISBN-13: 978-0335200849 | Publication Date: January 1, 2002 | Edition: 1

"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.

Editorial Reviews

Review

"...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

About the Author

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.

Product Details

• Spiral-bound: 224 pages
• Publisher: Open University Press; 1 edition (January 1, 2002)
• Language: English
• ISBN-10: 0335200842
• ISBN-13: 978-0335200849
• Product Dimensions: 9.7 x 7.3 x 0.9 inches
• Shipping Weight: 1.2 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #1,110,729 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

13 of 13 people found the following review helpful:

4.0 out of 5 stars Terrific introduction to NVivo software by a researcher, June 23, 2005

By 

Jeremy J. Shapiro (New York, NY USA) - See all my reviews
(REAL NAME)   

This review is from: Qualitative Data Analysis: Explorations with NVivo (Understanding Social Research) (Spiral-bound)

This is a terrific book. For it is a clearly conceptualized, organized, and written introduction to NVivo qualitative data analysis software by a researcher (rather than, for example, by a writer of computer manuals) that is not only a helpful and practical guide to the software but also a guide to the kinds of issues that arise in qualitative research. He also discusses how the software can be used from the perspective of several different research traditions. And he provides sample data, from an actual research project and downloadable from the Web, that are the basis of his explanations. Yet I and some co-researchers found that we could use the book just as well with our own data directly. Highly recommended for anyone intending to use NVivo for a research project.