alterlab-mixed-methods

Installation
SKILL.md

Mixed Methods Research Design

Overview

Mixed methods research is a methodology that combines quantitative and qualitative research approaches within a single study or program of inquiry. It goes beyond simply collecting both types of data — it requires intentional integration at one or more stages of the research process (design, methods, interpretation, reporting) to generate insights that neither approach could produce alone. This skill provides comprehensive guidance on designing, executing, and reporting mixed methods studies according to established frameworks, with particular emphasis on the Creswell & Plano Clark typology and the integration strategies that distinguish rigorous mixed methods from mere parallel data collection.

Mixed methods emerged as a recognized "third methodological movement" in the early 2000s, though researchers had been combining approaches for decades. Its legitimacy rests on the philosophical position of pragmatism — selecting methods based on what works best to answer the research questions rather than adhering to a single paradigm. Today, mixed methods is a requirement or strong recommendation in many funding agencies (NIH, NSF, ESRC) and is increasingly expected in fields such as health sciences, education, evaluation research, and social policy.

When to Use This Skill

Installs
60
GitHub Stars
61
First Seen
Apr 12, 2026
alterlab-mixed-methods — alterlab-ieu/alterlab-academic-skills