Qualitative Data Analysis with NVivo

Qualitative Data Analysis with NVivo

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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 softwareHow best to use NVivo at each stage in your research projectExamples from the authors' own research and the sample data that accompanies the software, supplemented with vignettes drawn from across the social sciences Annotated screen shotsA 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.

Available with Perusall-an eBook that makes it easier to prepare for class
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Product details

  • Paperback | 328 pages
  • 170 x 240 x 20mm | 519.99g
  • Sage Publications Ltd
  • London, United Kingdom
  • English
  • Revised
  • 2nd Revised edition
  • black & white illustrations, black & white tables, figures
  • 1446256561
  • 9781446256565
  • 73,129

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 *
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About Patricia Bazeley

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 (very) part time Associate Professor in the Centre for Primary Health Care and Equity at the University of New South Wales, supervising PhD students. From 2000-2013 Pat provided research training, consulting and retreat facilities for researchers at Bowral, in the southern highlands of NSW. She continues to provide occasional training and consulting services for academics, graduate students and practitioners in universities, government departments and commercial organisations both locally and internationally. Her particular expertise is in helping researchers to make sense of qualitative, quantitative, and mixed methods 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 was 2015-16 President of the Mixed Methods International Research Association. Pat is currently on the Editorial Boards for the Journal of Mixed Methods Research and Qualitative Health Research, having served in the past as an Associate Editor of the Journal of Mixed Methods Research. She 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. Kristi Jackson has a Masters of Education degree from the University of Vermont and a Doctorate of Philosophy in Education from the University of Colorado. She began using qualitative data analysis software in 1993, has been an expert and trainer of the QSR software (NUD*IST and NVivo) since 1996, became Vice President of an evaluation firm in Denver in 1999, and established Queri in 2002. She spends a third of her time collecting data for evaluation research projects (primarily in education and health), a third of her time using NVivo to analyze data, and a third of her time consulting with (and training) other researchers. Along with Pat Bazeley, she co-authored the most recent Sage book on Qualitative Data Analysis with NVivo, and she is a principal organizer of the Digital Tools strand at the International Congress of Qualitative Inquiry. Her current research interests include conceptualizations of "transparency" in the qualitative research process, particularly among doctoral students and their dissertation committees.
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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 ProjectDesigning 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 PhasesCoding 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 OnGoing 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 OnCases, 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 OverviewWorking 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 NCaptureDatasets 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 TypesTools 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 CommentsUsing 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 ReportsTeamwork 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 ResearchersMoving On - Further Resources
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Rating details

67 ratings
4.14 out of 5 stars
5 39% (26)
4 42% (28)
3 15% (10)
2 4% (3)
1 0% (0)
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