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 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.

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

Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.
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Product details

  • Paperback | 328 pages
  • 170 x 240 x 20mm | 519.99g
  • London, United Kingdom
  • English
  • Revised
  • 2nd Revised edition
  • black & white illustrations, black & white tables, figures
  • 1446256561
  • 9781446256565
  • 26,296

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
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
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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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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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