August 5-6

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.)
• demonstrations of applications with and conversations about appropriateness of AI/ChatGPT as a qualitative researcher’s resource

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