Clarity is Charity in the Advances of Causal Inquiry

Abstract

This special issue highlights the necessity of rigorous methodologies, transparency, and innovation in social work research. Emphasizing causal inference, the contributions in this volume address replication challenges, design complexities, and data transparency. Key advancements and recommendations we put forth include study preregistration, data sharing, and novel methodologies such as advanced mixed methods considerations, emerging recommendations in regression discontinuity designs, the use co-twin control designs, and how to handle complex nesting structures with partially nested designs. Papers also explore cost-effective trial planning, replication improvement, and fostering mentorship to enhance rigor and societal trust. These approaches aim to answer critical questions of efficacy and equity, providing a roadmap for impactful research that informs practice, shapes policy, and improves lives in an evolving scientific landscape.