Mixed methods research is an approach in which a researcher combines quantitative and qualitative methods within a single research study or programme of inquiry. Quantitative research deals mainly with numerical data, measurement, statistical analysis, and testing of hypotheses, whereas qualitative research focuses on meanings, experiences, perceptions, attitudes, and social processes through non-numerical data. Mixed methods research attempts to use the strengths of both approaches to obtain a more comprehensive understanding of a research problem. The central feature of mixed methods research is the purposeful integration of quantitative and qualitative evidence. It is not simply the collection of two types of data; rather, the researcher connects, compares, or integrates the findings so that one method contributes to a better understanding of the results obtained through the other. Mixed methods can be applied at different stages of research, including data collection, analysis, interpretation, or all three. There are several common designs of mixed methods research. In a convergent design, quantitative and qualitative data are collected during approximately the same period and analysed separately before being compared and integrated. For example, a researcher may conduct a survey of students to measure satisfaction with online education and simultaneously conduct interviews to understand the reasons behind their satisfaction or dissatisfaction. In an explanatory sequential design, quantitative data are collected and analysed first, followed by qualitative research to explain unexpected or significant quantitative findings. In an exploratory sequential design, qualitative research is conducted first to explore a phenomenon, and its findings