79. Mixed Methods Tutorial: Explanatory Sequential Design Explained

About this lesson

Welcome to Module 5.5 in our mixed methods series! This session explores the Explanatory Sequential Design, one of the most widely used mixed methods approaches, especially in applied research fields like public health and social science. Learn how to structure this design, connect data phases, and use qualitative insights to explain quantitative results.

What You’ll Learn

• Structure of explanatory sequential designs (QUAN→qual)
• Two-phase process: quantitative first, qualitative follows
• How to use QUAN findings to guide QUAL sampling and instruments
• Step-by-step process: data collection, analysis, integration
• Practical examples and common applications in health and social research
• Strengths and challenges of implementing this design effectively

Topics Covered

• Connecting quantitative and qualitative phases
• Building a QUAL protocol based on QUAN results
• Real-world use cases, such as exploring vaccine hesitancy
• Interpretation and integration of data for comprehensive insights

Ideal for researchers, students, and professionals in public health, education, or social research, this module provides a practical, clear guide to one of the most purposeful and structured mixed methods designs.

Tags

explanatory sequential design, mixed methods research, module 5.5, QUAN to qual, sequential mixed methods, mixed methods for public health, research methodology, qualitative follow-up, integration in research, vaccine hesitancy research, health research design, social science research, mixed methods process, explanatory design steps, data interpretation, mixed methods example, applied research design, research methods for students, research design explained

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.