Mixed Methods Research

Mixed Methods Research

Overview

Mixed methods research combines qualitative and quantitative approaches within a single study or program of inquiry to leverage the strengths of both. Grounded in pragmatism, it selects methods based on what works best for the research question. The defining feature is not merely using both approaches but genuinely integrating them at design, methods, or interpretation levels to produce insights neither approach could achieve alone.

When to Use

• A single approach (qual or quant alone) cannot adequately address the research question
• Quantitative results need qualitative explanation (why did the effect occur?)
• Qualitative findings need quantitative testing (does the pattern generalize?)
• Complex phenomena require both breadth (quant) and depth (qual) of understanding

When NOT to Use

• When the research question can be fully addressed by one approach
• When the researcher lacks competence in either qualitative or quantitative methods
• When resources (time, funding, team) cannot support both strands adequately
• When the paradigmatic assumptions of qual and quant are irreconcilable for the specific study

Assumptions

IRON LAW: Mixed methods requires GENUINE INTEGRATION — running qual
and quant in parallel without connecting findings is NOT mixed methods,
it is two separate studies stapled together. Integration must occur at
design, methods, or interpretation level.

Key assumptions:

1. Pragmatism as the philosophical foundation — what works for the research question determines the method
2. Both qualitative and quantitative data have legitimate claims to knowledge
3. Integration is the defining feature — not merely combining, but connecting, merging, or embedding
4. The research question drives design choice, not methodological allegiance

Methodology

Step 1: Select the Mixed Methods Design

| Design | Structure | Purpose |