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Qualitative Data Analysis with NVivo

Qualitative Data Analysis with NVivo

Paperback

Edited by Patricia Bazeley, Edited by Kristi Jackson

$49.88

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  • Publisher: Sage Publications Ltd
  • Format: Paperback | 328 pages
  • Dimensions: 168mm x 239mm x 18mm | 590g
  • Publication date: 1 May 2013
  • Publication City/Country: London
  • ISBN 10: 1446256561
  • ISBN 13: 9781446256565
  • Edition: 2, Revised
  • Edition statement: 2nd Revised edition
  • Illustrations note: black & white illustrations, black & white tables, figures
  • Sales rank: 22,414

Product description

This straightforward, jargon-free book provides an invaluable introduction to planning and conducting qualitative data analysis with NVivo. Written by leading authorities, with over 40 years combined experience in computer-assisted analysis of qualitative and mixed-mode data, the new edition of this best selling textbook is an ideal mix of practical instruction, methodology and real world examples. Practical, clear and focused the book effectively shows how NVivo software can accommodate and assist analysis across a wide range of research questions, data types, perspectives and methodologies. It sets out: - The power and flexibility of the NVivo software - How best to use NVivo at each stage in your research project - Examples from the authors' own research and the sample data that accompanies the software, supplemented with vignettes drawn from across the social sciences - Annotated screen shots - A website with links to data, sample projects, supplementary/updated instructions, and SAGE journal content This second edition contains new chapters on handling a literature review, visualizing data, working in mixed-methods and social media datasets, and approaching NVivo as a team. An insightful step-by-step guide to the messy reality of doing computer-assisted analysis, this successful book is essential reading for anyone considering using NVivo software.

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Author information

Pat Bazeley was awarded a PhD in community psychology for an action research based thesis which argued that community development was an effective strategy for the promotion of mental health in a disadvantaged population. After graduating she worked in community development and as a freelance researcher, undertaking projects in public health, welfare, education, law and community studies. From 1991-9 she was responsible for research development and administration for academic staff at the University of Western Sydney, Macarthur. Currently, she is a part-time Associate Professor in the Centre for Primary Health Care and Equity at the University of New South Wales. Through her company, Research Support P/L, Pat provides research consulting and retreat facilities for researchers at Bowral, in the southern highlands of NSW. Additionally, she provides training and consulting services for academics, graduate students and practitioners in universities, government departments and commercial organizations both locally and internationally. Her particular expertise is in helping researchers to make sense of both quantitative and qualitative data and in using computer programs for management and analysis of data. Her passion is to help people move beyond simple descriptive analyses of rich data.Pat has a particular interest in mixed methods research, where she is exploring tools and techniques for integrating analyses of different forms of data, and the methodological implications of doing so. She has served as an Associate Editor of the Journal of Mixed Methods Research and has published books, chapters and articles on qualitative and mixed methods data analysis. She has also published on immunization services, and on the career development and performance of researchers. Pat's own research has been focused in two quite different substantive areas: around the motivation, development, performance and careers of researchers; and in public/community health issues. She has a particular interest in mixed methods research, where she is exploring tools and techniques for integrating analysis of qualitative and quantitative data, and the methodological implications of doing so. Pat has served as an Associate Editor of the Journal of Mixed Methods Research, reviews articles and research proposals for a wide range of journals and international funding bodies, and has published books, chapters and articles on qualitative and mixed methods data analysis. She has also published on immunisation services, and on the career development and performance of researchers.

Review quote

I can see this book being used as a bible by qualitative researchers keen on maximising the benefits that NVivo can offer. It is also likely to act as a frequent refresher resource for more experienced NVivo users, myself most definitely included. -- Andrew Edwards-Jones Journal of Education for Teaching

Table of contents

Perspectives: Qualitative Computing and NVivo Qualitative Research Purposes and NVivo The Evolution of Qualitative Data Analysis Software Issues Raised by Using Software for Qualitative Data Analysis Exploring an NVivo Overview: What's in an NVivo Project? Starting Out, With a View Ahead Exploring the Research Terrain Explore the Terrain With Software looking Ahead: Connecting a Web of Data Looking Ahead: Keeping Track of Emerging Ideas Memos, Annotations or Links: Which Should it Be? Saving and backing Up Your Project Designing An NVivo Database Qualitative Data for Your Project Thinking Cases Preparing Data Sources Storing Qualitative Data in NVivo Managing Data Sources in NVivo Questions to Help You Work Through These Early Phases Coding Basics Goals for Early Work With Data Building Knowledge of the Data Through Coding Storing Codes in Nodes Identifying and Naming Codes Further Coding in NVivo Practical Issues in Coding Moving On Going On With Coding Creating a Structured Coding System Organizing and Coding With Nodes in Trees in NVivo Automating Routine Coding Automating Coding With Word Frequency and Text Search Queries Closeness and Distance with Coded Data Moving On Cases, Classifications, and Comparisons Understanding Case Types and Case Nodes Making Case Nodes Understanding Attributes, Values and Classifications Creating Classifications, Attributes, and Values Using Attributes for Comparison Using Sets to Manage Data Overview Working With Multimedia Sources The Promises and Perils of Non-Text Data Using Images in Your Research Working With Audio and Video Sources Accessing and Using Web-Based Data Exporting Images, Audio and Visual Adding Reference Material to Your NVivo Project Using Reference Material in Your Project Importing; Coding and Viewing PDF Sources Importing Reference Material from Bibliographic Software Capturing Web Pages with NCapture Datasets and Mixed Methods Combining Data Types in Research What Does a Dataset Look Like? Managing Data in a Data Set Coding Dataset Text Importing and Analysing a Social Media Data Set Analysing Datasets and Other Mixed Data Types Tools and Strategies for Visualizing Data Why Visualise? Case Analysis Using Models Grouping and Conceptualizing Comparative Analysis with Charts and Graphs Explore Relationships Via the Modeller Build a Visual Narrative Mapping Connections - Building Theory Exploratory Visualization Using Cluster Analysis Exporting Models and Visualizations Concluding Comments Using Coding and Queries to Further Analysis The Analytic Journey Queries in NVivo Common Features in Queries Seven Queries Using Coding and Queries to Further Analysis Creating and Customizing Reports Teamwork with NVivo Getting Ready For Teamwork Options for Storing and Accessing a Team Project Getting Started as a Team with NVivo Using NVivo's Tools to Facilitate Team Communication Coding as a Team Combining Databases Comparing Coding by Different Researchers Moving On - Further Resources