Try it Together - Qualitative coding with Atlas.ti

• Main Authors: DONG, Danping, LEOW, Bryan
• 格式: text
• 出版: Institutional Knowledge at Singapore Management University 2024
• 主題: Artificial Intelligence and Robotics; Databases and Information Systems; Data Science
• 在線閱讀: https://ink.library.smu.edu.sg/ai_research_week/Programme/Programme/10; https://ink.library.smu.edu.sg/context/ai_research_week/article/1010/viewcontent/aiweekatlasti_slides_v1.pdf
• 機構: Singapore Management University

This hands-on session introduces Atlas.ti, a well-established qualitative data analysis tool for analyzing your transcripts and textual data. The session will cover coding data, extracting insights, creating visualizations, and exploring the tool's latest AI features.