Table Of Contents:

• 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