Qualitative data analysis with NVivo
Author(s)
Bibliographic Information
Qualitative data analysis with NVivo
SAGE, 2013
2nd ed
- : pbk
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Note
Previous ed.: published as by Pat Bazeley, 2007
Includes bibliographical references (p. 299-304) and index
Description and Table of Contents
Description
Lecturers/instructors only - request a free digital inspection copy here
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.
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
by "Nielsen BookData"
