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Learn about qualitative data analysis (QDA) and the 6 most popular qualitative data analysis methods in this simple tutorial. We explain qualitative content analysis, thematic analysis, discourse analysis, narrative analysis, grounded theory and interpretative phenomenological analysis (IPA) in plain language. Learn about the purpose, strengths and weaknesses of each method and how to choose the right qualitative data analysis method for your dissertation, thesis or research project. Qualitative Data Analysis Methods 101: Overview 00:00 Introduction 02:03 What is qualitative data? 02:46 Qualitative data vs quantitative data 03:25 Is qualitative analysis easier than quantitative analysis? 04:36 The 6 most popular qualitative data analysis methods 05:17 Qualitative content analysis (content analysis) 07:58 Narrative analysis 10:17 Discourse analysis 13:01 Thematic analysis 14:55 Grounded theory 18:04 Interpretative phenomenological analysis (IPA) 20:37 How to choose the right qualitative analysis method 22:55 Recap For more information about qualitative data analysis and methods, visit KEY RESOURCES: FREE WEBINAR: Research Methodology Basics - ONLINE COURSE: Research Methodology Bootcamp - COMPANION POST: Qual Methods 101 - 1-ON-1 COACHING: Free Consultation - ADDITIONAL RESOURCES: Qualitative coding - Thematic analysis - Content analysis - Discourse analysis - Narrative analysis - Writing up qualitative results - The Grad Coach blog - If you have any questions about qualitative data analysis, leave a comment below. Also, leave a comment if you’d like to request a video about a specific analysis method. For 1-on-1 private help with your qualitative data analysis, check out our coaching services at . Our Socials 🟢 Facebook - 🟢 Twitter - 🟢 LinkedIn -
