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Analyzing Qualitative Data
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Analyzing Qualitative Data
Systematic Approaches

Second Edition
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September 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
Introduction: What Is Qualitative Data Analysis?  
What Are Data and What Makes Them Qualitative?  
About Numbers and Words  
Research Goals  
Kinds of Qualitative Data  
Key Concepts in This Chapter  
Summary  
Further Reading  
 
Chapter 2: Choosing a Topic and Searching the Literature
Introduction  
Exploratory and Confirmatory Research  
Four Questions to Ask About Research Questions  
The Role of Theory in Social Research  
Choosing a Research Question  
The Literature Search  
Databases for Searching the Literature  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 3: Research Design I: Sampling
Introduction  
Two Kinds of Samples  
Kinds of Nonprobability Samples  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 4: Research Design II: Collecting Data
Introduction  
Data Collection Methods  
Indirect Observation  
Direct Observation  
Elicitation Methods  
Accuracy  
Eliciting Cultural Domains  
Mixed Methods  
Choosing a Data Collection Strategy  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 5: Finding Themes
Introduction  
What’s a Theme?  
Where Do Themes Come From?  
Eight Observational Techniques: Things to Look for  
Four Manipulative Techniques: Ways to Process Texts  
Selecting Among Techniques  
And Finally...  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 6: Codebooks and Coding
Introduction  
Three Kinds of Codes  
Building Codebooks  
Using Existing Codes  
Codebooks Continue to Develop  
Hierarchical Organization of Codebooks  
Applying Theme Codes to Text  
The Mechanics of Marking Text  
Multiple Coders  
The Content of Codebooks  
Describing Themes: Bloom’s Study of AIDS  
Finding Typical Segments of Text  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 7: Introduction to Data Analysis
Introduction: What Is analysis?  
Database Management  
Data Matrices  
Proximity Matrices  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 8: Conceptual Models
Introduction  
Statistical Models and Text Analysis  
Building Models  
Step 1: Identifying Key Concepts  
Step 2: Linking Key Constructs  
Step 3: Testing the Model  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 9: Comparing Attributes of Variables
Introduction  
Fundamental Features of Comparisons  
Levels of Measurement  
Converting Text to Variable Data  
Levels of Aggregation  
Many Types of Comparisons  
Comparing the Columns  
And Finally...  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 10: Grounded Theory
Introduction: On Induction and Deduction  
Overview of Grounded Theory  
A GT Project: Schlau’s Study of Adjustment to Becoming Deaf as an Adult  
Visualizing Grounded Theories  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 11: Content Analysis
Introduction  
History of Content Analysis  
Doing Content Analysis  
Intercoder Reliability  
A Real Example of Using Kappa: Carey et al.’s Study  
Cross-Cultural Content Analysis: HRAF  
Automated Content Analysis: Content Dictionaries  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 12: Schema Analysis
Introduction  
History of Schema Analysis  
Mental Models  
Kinds of Schemas  
Methods for Studying Schemas  
Folk Theories: Kempton’s Study of Home Thermostats  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 13: Narrative Analysis
Introduction  
Sociolinguistics  
Hermeneutics  
Phenomenology  
Steps in a Phenomenological Study  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 14: Discourse Analysis II: Conversation and Performance
Introduction  
Grammar Beyond the Sentence  
Conversation Analysis  
Transcriptions  
Taking Turns in a Jury  
Performance Analysis: Ethnopoetics  
Language in Use  
Critical Discourse Analysis: Language and Power  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 15: Analytic Induction and Qualitative Comparative Analysis
Introduction  
Induction and Deduction—Again  
Analytic Induction  
Qualitative Comparative Analysis—QCA  
And Finally...  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 16: Ethnographic Decision Models
Introduction  
How to Build EDMs  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 17: KWIC Analysis and Word Counts
Introduction  
KWIC—Key Word in Context  
An Example of KWIC  
Word Counts  
Words and Matrices  
Personal Ads  
Describing Children  
Word Counts Are Only a Start  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 18: Cultural Domain Analysis
Introduction  
What Are Cultural Domains?  
Free Lists  
Plotting Free Lists  
Analyzing Free List Data  
Pile Sorts  
Analyzing Pile Sort Data: MDS  
Folk Taxonomies  
How to Make a Taxonomy: Lists and Frames  
And Finally...  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
Chapter 19: Semantic Network Analysis
Introduction  
Converting Texts Into Similarity Matrices  
Jang and Barnett’s Study of CEO Letters  
Nolan and Ryan’s Study of Horror Films  
Some Cautions About All This  
Semantic Network Analysis of Themes  
And Finally...  
Key Concepts in This Chapter  
Summary  
Exercises  
Further Reading  
 
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.
  • Video tutorials on working with MAXQDA
  • Presentation slides
  • MAXQDA keyboard shortcuts
  • Datasets
  • Stop list
  • Recommended readings

 

Please create your account for the website through the lower right-hand account registration upon clicking the link.

Sample Materials & Chapters

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Chapter 5


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ISBN: 9781483344386
£64.00