What does a mixed-method research design combine?

A mixed-method research design effectively combines both qualitative and quantitative research approaches. This integration harnesses the strengths of each method, allowing for a more comprehensive understanding of a research problem.

Qualitative research focuses on exploring concepts, opinions, and experiences, providing depth and context to the data. It often involves methods like interviews, focus groups, and observations, emphasizing understanding and interpretation of complex phenomena.

On the other hand, quantitative research is centered on numerical data and statistical analysis, enabling researchers to find patterns, test theories, and make generalizations based on large datasets. This approach often employs surveys, experiments, and structured observations.

By merging these two methodologies, mixed-method research can offer richer insights. For example, qualitative findings can help explain the reasons behind the patterns observed in quantitative data. Conversely, quantitative data can validate trends and insights gathered through qualitative means. This synergy gives researchers a broader lens through which to understand their subject matter, making their analyses more robust and nuanced.