Synthesis of Single-Case Design Mediation Effects using Two-Stage Multilevel Modeling

• In Event: AERA Roundtable Session Saturday 1:45 pm - Gold 4
  In Roundtable Session: RT3: Imputation Strategies and Synthesis/Meta-Analytic Designs with Mediation Effects or Complex Structures

Abstract

An important step in evaluating the effectiveness of interventions requires an understanding of the mechanisms by which interventions bring about change. While the study of mediating mechanisms is largely unexplored in Single Case Experimental Design (SCED) research, the intervention theories that guide the expected behavior change often make note of why, or through which mechanisms, the intervention is expected to produce change. Little attention has been devoted to estimation of causal mediation effects in SCEDs. Additionally, there are no studies describing or evaluating optimal approaches for synthesizing causal mediation effects across cases in a SCED. This study fills this gap by empirically evaluating a promising approach, namely two-stage multilevel modeling.

Authors

• Mariola Moeyaert, University at Albany - SUNY

• Milica Miocevic, McGill University

• Matthew Valente, University of South Florida

• Yaosheng Lou, University at Albany - SUNY