ABSTRACT
Data analysis in mixed methods research—more commonly known as mixed methods analysis, or, more simply, as mixed analysis—is considered by many, if not most, beginning researchers and emergent researchers to be the most difficult step of the mixed methods research process. In the context of mixed methods research, analytic techniques include frequency analysis of themes. Crossover mixed analyses can be framed as being quantitative-dominant, qualitative-dominant, or equal-status. When conducting quantitative-dominant crossover mixed analyses, analysts may adopt a postpositivist stance, while, at the same time, operate under the belief that the inclusion of qualitative data and analysis can help address the research question(s) more comprehensively. Mixed analysis commensurability approximation legitimation refers to the extent to which the ensuing meta-inferences reflect quantitative analyses and qualitative analyses that reflect a similar level of analytic competence and rigor. The chapter also presents an overview on the key concepts discussed in this book.
