Analyzing Qualitative Data
Systematic Approaches
Second Edition
- H. Russell Bernard - University of Florida, USA
- Amber Wutich - Arizona State University, USA
- Gery W. Ryan - Kaiser Permanente Bernard J. Tyson School of Medicine, USA, RAND Corporation, USA
July 2016 | 576 pages | SAGE Publications, Inc
The fully updated Second Edition presents systematic methods for analyzing qualitative data with clear and easy-to-understand steps. The first half is an overview of the basics, from choosing a topic to collecting data, and coding to finding themes, while the second half covers different methods of analysis, including grounded theory, content analysis, analytic induction, semantic network analysis, ethnographic decision modeling, and more. Real examples drawn from social science and health literature along with carefully crafted, hands-on exercises at the end of each chapter allow readers to master key techniques and apply them to their own disciplines.
Chapter 1: Introduction to Text: Qualitative Data Analysis
Chapter 2: Choosing a Topic and Searching the Literature
Chapter 3: Research Design I: Sampling
Chapter 4: Research Design II: Collecting Data
Chapter 5: Finding Themes
Chapter 6: Codebooks and Coding
Chapter 7: Introduction to Data Analysis
Chapter 8: Conceptual Models
Chapter 9: Comparing Attributes of Variables
Chapter 10: Grounded Theory
Chapter 11: Content Analysis
Chapter 12: Schema Analysis
Chapter 13: Narrative Analysis
Chapter 14: Discourse Analysis II: Conversation and Performance
Chapter 15: Analytic Induction and Qualitative Comparative Analysis
Chapter 16: Ethnographic Decision Models
Chapter 17: KWIC Analysis and Word Counts
Chapter 18: Cultural Domain Analysis
Chapter 19: Semantic Network Analysis
Appendix
Supplements
Student Resource Site
The authors created engaging and helpful digital content to develop a rich learning environment for instructors and to support students' personalized learning.
The authors' website includes the following resources.
The authors created engaging and helpful digital content to develop a rich learning environment for instructors and to support students' personalized learning.
The authors' website includes the following resources.
- Video tutorials on working with MAXQDA
- Presentation slides
- MAXQDA keyboard shortcuts
- Datasets
- Stop list
- Recommended readings
Provides detailed explanations and examples on qualitative data analysis which are quite valuable to students
Department of Communication Sciences, Hacetteppe University
February 18, 2022