Integrated Replication Designs for Identifying Generalizability Boundaries of Causal Effects

The purpose of this grant is to develop an approach for identifying generalizability boundaries, which describe conditions under which effects are expected to replicate across variations in units, treatments, outcomes, settings, and times. The researchers will use principles of fractional and confounded factorial designs to plan integrated fractional replication designs and use subject-matter theory to specify causal estimands of interest, along with hypothesized moderators. The research will proceed in three phases, ultimately yielding user-friendly software for running the models, workshops and presentations at conferences, and papers in peer-reviewed journals.