A defining characteristic of mixed methods research, integration receives considerable attention in the field, yet evidence suggests that the process of integration may be challenging in practice. Crossover analyses, in which methods typically used with one data type are applied to a different data type, can deepen integration. Using an example from the field of education, this article demonstrates the iterative application of multiple correspondence analysis as a crossover analysis through a four-stage integration process. Contributions to the field of mixed methods include (a) the utility and potential of multiple correspondence analysis to surface new dimensions of integrated findings, (b) considerations for rigor in the application of crossover methods, and (c) considerations for making sense of diffractive or dynamic findings.
TheJournal of Mixed Methods ResearchStarts a New Decade: The Mixed Methods Research Integration Trilogy and Its Dimensions
