A Contingency Table-Based Method of Crossover Analysis in Convergent Mixed Methods Designs to Achieve Complementarity Between Ratings and Comments in Survey Research
Year: 2026
Type: article
Abstract: Crossover analyses are ways of mixing data across study strands from differing traditions, for example, transforming and analyzing qualitative strand data quantitatively together with the quantitative strand data. In response to a recent call for innovation with crossover analyses in mixed methods, this article contributes to the field of mixed methods research by presenting a method of crossover analysis in convergent mixed methods designs. Using survey data, contingency tables were used to merge dichotomized quantitative and qualitative strand results for mixed analysis and joint interpretation using Chi-square and odd ratio analyses. Ratings and open-ended comments about different aspects of the same phenomenon were integrated and explicitly linked with the rationale as means to achieve complementarity in the meta-inference.
Authors: Shaun Hutchins, Kim Wright, Karen Rambo-Hernandez
Institutions: Texas A&M University, Rice University
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,900
OpenAlex ID: W7141416723