Using a Delphi Consensus Technique to Refine Meta-Inference in Mixed Methods Research

Mixed methods research has the potential to address wicked problems that are complex, multifaceted, and require the integration of diverse perspectives and data sources. Yet integrating perspectives of multiple parties of interest remains difficult. This article describes how a Delphi consensus technique can help refine meta-inference in complex research problems. We illustrate this through a project using an explanatory sequential design aimed at developing recommendations for the organization of services delivered by specialized professionals in childcare settings. This study contributes to the mixed methods research literature by demonstrating how a Delphi consensus technique can help produce meta-inferences that may serve as actionable recommendations for decision-makers. We also discuss the advantages and considerations for its use in mixed methods research.