Mixed methods research is an approach that integrates both quantitative and qualitative research methods within a single study. This integration allows for a more complete and nuanced understanding of complex research problems. By combining numerical data with non-numerical data such as text and observations, researchers can gain a richer and more detailed picture of the phenomena being studied. This approach is particularly valuable in fields like social sciences, healthcare, and education, where a combination of data types can provide deeper insights.

There are several common designs for mixed methods research, including convergent, explanatory sequential, and exploratory sequential. In convergent designs, both types of data are collected simultaneously. Explanatory sequential designs involve collecting quantitative data first, followed by qualitative data to explain the results. Exploratory sequential designs start with qualitative data, followed by quantitative data to test the findings. The key is the intentional integration of both methods to address the research question effectively.