Unlocking the Potential of the Regression Discontinuity Design for Social Work Research

Abstract

Purpose: This article introduces the regression discontinuity design (RDD) as a valuable quasi-experimental approach for evaluating social work interventions. Methods: The RDD is outlined, providing guidance on identifying and framing research questions within its structure. Detailed explanations of analytical procedures for estimating intervention effects under both sharp (treatment assignment strictly determined by a cutoff) and fuzzy (treatment assignment is influenced but not strictly determined by a cutoff) RDD conditions are included, along with common supplemental analyses to address potential validity threats. Results: Concrete examples of social work scenarios where RDD can be effectively employed are presented, showcasing innovative approaches that can enhance the design's utility. This paper also includes code for implementing these techniques. Conclusions: By examining the applications and methodologies of RDD, this article equips social work practitioners and researchers with a versatile tool to rigorously assess the impact of interventions and advance evidence-based practice within the field.