Mastering Qualitative Data Analysis with GPT-4o: A 40-Minute Comprehensive Crash Course

Learn how to leverage ChatGPT for trustworthy qualitative data analysis! In this video, I explore the powerful capabilities of OpenAI's GPT-4o model to analyze qualitative data effectively. You'll discover how to prompt the system, generate illustrative visuals like word clouds, and even create PowerPoint slides based on your findings. This comprehensive guide ensures your data analysis process is robust, transparent, and credible. Don't forget to check the description for helpful prompts and resources. Subscribe for more AI and research insights!

Procedure for Analyzing qualitative data using GPT 4o: https://chipper-trader-8601.ck.page/3...

Burnout data set: https://drive.google.com/file/d/1i0AI...

00:00 Introduction to Using Chat GPT for Qualitative Data Analysis
00:36 Overview of GPT-4.0 Capabilities
01:00 Generating Graphs and Illustrations
01:29 Creating PowerPoint Slides from Findings
02:00 Ensuring Trust in Qualitative Data Analysis
02:17 Providing Effective Context to the System
03:04 Background Information on the Data Used
04:20 Importance of Context and Clarifying Questions
05:00 Initial Prompt to Chat GPT
06:27 System Clarifications and Providing Details
08:00 Ensuring Confidentiality and Bracketing in Analysis
11:00 Specifying Rules for Qualitative Data Analysis
13:00 Utilizing GPT's Memory Function
14:00 Uploading Transcripts and Initial Coding
15:00 Reviewing and Refining Initial Themes
16:10 Validating System-Generated Themes with Evidence
18:00 Extracting and Verifying Participant Quotes
19:00 Generating Demographic Information Tables
20:00 Creating Visual Representations
21:00 Extracting Excerpts for Specific Themes
22:00 Generating Summary Tables for Themes
24:00 Creating Word Clouds
25:00 Explaining Word Cloud Insights
26:00 Applying Structured Prompts for Analysis
27:00 Reverse Prompting for Future Analysis
28:00 Summarizing Data and Unique Information
30:00 Developing Codes and Extracting Quotes
32:00 Categorizing Codes into Themes
33:00 Creating Summary Tables
34:00 Generating PowerPoint Slides from Findings
36:00 Using Gamma.app for Presentations
38:00 Final Thoughts and Continuous Learning
40:00 Reverse Prompting for Future Data Analysis
41:00 Conclusion and Subscription Call to Action