Description

Author

Nancy L. Leech(a) and Anthony J. Onwuegbuzie(b)

(a) School of Education and Human Development, University of Colorado Denver, Denver, CO, USA; (b) Dialectical Publishing, LLC, Bloomington, IN, USA; Faculty of Education, University of Cambridge, England and Department of Educational Leadership and Management/Department of Educational Psychology, University of Johannesburg, Johannesburg, South Africa

Abstract

The purpose of this editorial is to advocate for increased use of nonparametric statistics in mixed methods research studies, or more aptly labeled as mixed research to denote the fact that more than methods typically are mixed (e.g., philosophical assumptions and stances, research questions). First, we outline how the strengths of using nonparametric statistics outweighs the limitations. Second, we demonstrate empirically how infrequently nonparametric statistics appear in a flagship journal (i.e., Journal of Mixed Methods Research [JMMR]). We document that relatively few JMMR authors use nonparametric analyses to analyze qualitative data. Third, we provide a heuristic example from the extant literature to exemplify the use of nonparametric statistics in mixed research studies. Finally, we introduce a meta-framework for using nonparametric statistics in mixed research studies. Our article contributes to the mixed research literature by promoting increased rigor in particular and ethicality in general during the mixed analysis process.