65. Qualitative Data Analysis Basics

About this lesson

In this module, we explore the foundations of qualitative data analysis, where raw data is transformed into insightful, evidence-based findings. Through a structured yet creative process, researchers uncover meaning in participants’ words, actions, and contexts.

We begin by breaking down the general analysis process, from data preparation and immersion, to coding, theme development, and interpretation. You’ll learn the distinctions between inductive, deductive, and abductive approaches, and how to choose or combine them based on your research goals.

This video also outlines essential principles for rigorous analysis, including reflexivity, transparency, and maintaining the contextual integrity of participant narratives. Whether you're analyzing interviews, field notes, or creative data, this module offers a strong foundation for producing trustworthy, meaningful qualitative results in healthcare research.

What You’ll Learn

• The core steps of qualitative data analysis
• How to apply inductive, deductive, and abductive reasoning
• Key principles for rigorous, reflective, and transparent analysis
• The iterative and non-linear nature of qualitative interpretation
• How to preserve meaning and context in data from healthcare settings

This module is especially valuable for researchers analyzing patient interviews, provider narratives, or observational data, and for anyone seeking to turn rich qualitative input into credible and impactful findings.

Perfect For

• Health science and public health students
• Nursing, social work, and psychology researchers
• Mixed methods scholars seeking stronger qualitative grounding
• Anyone analyzing healthcare-related qualitative data

Lesson notes

Full written notes for this lesson are in production. Until they publish, watch the video above and use the summary on this page as your study guide.