Description

Mixed data analysis: Advanced integration techniques

ANTHONY J ONWUEGBUZIE

Professor, Department of Educational Leadership and Counseling, Sam Houston State University, Huntsville TX, USA

JOHN R SLATE

Professor, Department of Educational Leadership and Counseling, Sam Houston State University, Huntsville TX, USA

NANCY L LEECH

Assistant Professor, School of Education and Human Development, University of Colorado at Denver and Health Sciences Center, Denver CO, USA

KATHLEEN MT COLLINS

Associate Professor, Department of Curriculum & Instruction, University of Arkansas at Fayetteville, Fayetteville AR, USA

ABSTRACT

The purpose of this paper is to provide a coherent and inclusive framework for conducting mixed analyses. First, we present a two-dimensional representation for classifying and organizing both qualitative and quantitative analyses. This representation involves reframing qualitative and quantitative analyses as either variable-oriented or case-oriented analyses, yielding a 2 (qualitative analysis phase vs. quantitative analysis phase)  2 (variable-oriented analysis vs. case-oriented analysis) mixed analysis grid. We present a comprehensive list of specific qualitative (e.g. method of constant comparison) and quantitative (e.g. multiple regression) analyses that fit under each of the four cells. Next, we provide an even more comprehensive framework that incorporates a time dimension (i.e. process/experience-oriented analyses), yielding a 2 (qualitative analysis phase vs. quantitative analysis phase)  2 (particularistic vs. universalistic; variable-oriented analysis)  2 (intrinsic case vs. instrumental case; case-oriented analysis)  2 (cross-sectional vs. longitudinal; process/experience-oriented analysis) model. Examples from published studies are presented for each of these two representations. We contend that these two representations can help mixed researchers – both novice and experienced researchers alike – not only classify qualitative, quantitative and mixed research, but, more importantly, can help them both design their mixed analyses, as well as analyze their data coherently and make meta-inferences that have interpretive consistency.

Keywords: mixed research, mixed data analysis, mixed analysis, variable-oriented analyses, case-oriented analyses, process/experience-oriented analyses, three-dimensional analyses