Sampling Considerations in Mixed Research

• In Event: Achieving Quality in Mixed Methods Research: Examining Research Contexts and Methods

Abstract

In this article, we discuss the concept of interpretive consistency in mixed research, which represents the degree of consistency between the sampling design (e.g., sampling scheme, sample size, subsample size[s], group size[s] per approach, number of observational units per participant) and the inferences that are generated from the findings. If the sample design does not warrant the generalization made, then some degree of interpretive inconsistency occurs. To structure this discussion, we focus on sampling considerations at the conceptualization and planning stages of the research, and at the outcome stage of reporting the mixed research findings to consumers. We believe that addressing these considerations helps mixed researchers address interpretive consistency when validating findings and forming generalizations.

Authors

• Kathleen M.T Collins, University of Arkansas

• Anthony J. Onwuegbuzie, Sam Houston State University