Qualitative Data Analysis 101 Tutorial: 6 Analysis Methods + Examples
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 .
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