Prelude
Part I — Foundations for AI in Qualitative Research
- 2 Introduction
- 3 Foundations of Qualitative Methods
- 4 Foundations of Thought about Artificial Intelligence
- 5 A Workflow for the Qualitative Research Process
Part II — Applications and Case Studies
- 6 Study Framing
- 7 Collecting and Selecting Data
- 8 Preparing Data
- 9 Immersion, Familiarization, and Early Sensemaking
- 10 Segmenting and Structuring Data
- 11 Developing Codes / Codebooks
- 12 Refining Codes Over Time
- 13 Applying Codes
- 14 Validation, Trustworthiness, and Quality Checks
- 15 Interpretation, Sensemaking, and Theory Building
- 16 Analysis and Visualization of Coded Data
Part III — Retaining Core Values
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