July 24-25

Coding qualitative data serves as a heuristic (i.e., a method of discovery) to generate analytic outcomes such as major categories, themes, theories, and other representations such as visual displays and evocative narratives. The emergence of artificial intelligence/ChatGPT provides researchers with an intriguing new heuristic for qualitative data analysis.

This two-day course focuses on a select number of coding methods through manual applications and supplemental, exploratory data analysis with the ChatGPT platform. Participants will review:

• foundation principles for coding qualitative data
• how coding generates reflective analytic memos
• selected outcomes of qualitative data analysis (categories, themes, diagrams, etc.)
• applications with and appropriateness of AI/ChatGPT as a qualitative researcher’s resource

Participants are strongly encouraged (but are not required) to have access to a ChatGPT platform during the course for selected data analysis activities. Course content is derived from Saldaña’s The Coding Manual for Qualitative Researchers (4th edition, 2021; 5th edition, 2025; Sage Publishing).