Qualitative Data Analysis Methods Explained: The Ultimate 2025 Guide

Welcome to this advanced, in-depth masterclass on Qualitative Data Analysis Methods, designed especially for MS/MPhil students, PhD researchers, faculty members, and professionals in public health, social sciences, education, psychology, and qualitative inquiry.

This video walks you step-by-step through the six most widely used qualitative analysis methods, how they work, when to use them, what type of data they require, and real-world research examples.

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Who Should Watch This?

Public Health researchers

Medical students & postgraduate residents

Social science & psychology students

Education researchers

Thesis & dissertation writers

Faculty supervising qualitative research

NGO professionals doing community-based research
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 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

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