Mixed Methods

Mixed-methods research combines quantitative and qualitative data within one study, on the reasoning that numbers establish patterns and prevalence while words explain mechanism and meaning. The integration is what makes it mixed methods — running two studies side by side without connecting them does not qualify.

Three core designs dominate. Explanatory sequential collects quantitative data first, then uses qualitative work to explain surprising results. Exploratory sequential begins qualitatively to develop an instrument or theory, then tests it quantitatively. Convergent parallel collects both simultaneously and compares them during interpretation.

State your design by name, justify why one method alone could not answer the question, and be explicit about the point of integration — whether at data collection, analysis or interpretation. A joint display table setting quantitative results beside supporting qualitative themes is the clearest way to demonstrate genuine integration.