Research Design for Mixed Methods: A Triangulation-based Framework and Roadmap

Abstract

All methods individually are flawed, but these limitations can be mitigated through mixed methods research, which combines methodologies to provide better answers to our research questions. In this study, we develop a research design framework for mixed methods work that is based on the principles of triangulation. Core elements for the research design framework include theoretical purpose, i.e., theory development and/or theory testing; and methodological purpose, i.e., prioritizing generalizability, precision in control and measurement, and authenticity of context. From this foundation, we consider how the multiple methodologies are linked together to accomplish the theoretical purpose, focusing on three types of linking processes: convergent triangulation, holistic triangulation, and convergent and holistic triangulation. We then consider the implications of these linking processes for the theory at hand, taking into account the following theoretical attributes: generality/specificity, simplicity/complexity, and accuracy/inaccuracy. Based on this research design framework, we develop a roadmap that can serve as a design guide for organizational scholars conducting mixed methods research studies.