Mixed-method convergent research design is a comprehensive approach that combines qualitative and quantitative data collection and analysis to gain a deeper understanding of a research topic. Researchers use this design to triangulate findings from both methods, merging the data to provide a more robust and holistic interpretation. The convergence allows for complementarity, validation, or expansion of results, leading to a comprehensive and enriched understanding of the subject.
Suppose you are studying the impact of a new educational program on students' academic performance. You use surveys to gather quantitative data on students' grades and test scores. Additionally, you conduct interviews and focus groups with students and teachers to gain qualitative insights into their experiences and perceptions of the program. By merging these data, it means you can offer a more comprehensive evaluation of the program's effectiveness and identify potential areas for improvement.
Muziwandile Qiniso Luthuli gives a good account of how convergent designs operate, but I worry that this summary makes it sound too easy. For example, simply suggesting that one "merge" two separate qualitative and quantitative studies does not say enough about one accomplishes this. Too often, this kind of research yields low levels of integration because it is difficult to determine how to compare two very different kinds of results.