In this paper, we seek to build on previous methodological work that has been done regarding propensity score modeling in a multilevel context. However, given our interest in continuous mediators, we extend previous work that has been done in the context of binary propensity score modeling to the continuous case, with a focus on propensity score weighting. Specifically, we seek to identify the optimal form of the propensity score model, given the multilevel nature of the intervention. We will present a simulation study comparing propensity score models for a continuous mediator using a multi-level model, a single-level model with fixed effects, and a single-level model without fixed effects. Additionally, we will discuss implementation challenges and logistics, including how to assess balance with propensity score weights for a continuous exposure, and whether balance should be obtained within clusters or across clusters. Finally, we will present an application in which we investigated the causal mediation effect of HealthWise South Africa, a prevention intervention randomly assigned and administered at the school-level, on substance use.
Given the prevalence of group-based designs as well as the importance of understanding mediational pathways in prevention research, methodological developments in the field of causal mediation are widely applicable to the field of prevention science.