Facilitating systems change in the response to domestic violence has been touted as a central goal in the effort to hold systems accountable and create a coordinated response for survivors. However, examination of systems change and whether particular social change efforts (e.g., coordinating councils) contribute to such change is a notoriously difficult research endeavor due in large part to methodological barriers, including those that stem from nonexperimental designs and complex data that are characterized as nested and measured in proportions. This article describes important methodological challenges and proposes innovative techniques to address these challenges. Specifically, multilevel modeling is applied to examine two key systems markers, including protection order and domestic violence program referral rates over time in one State. For each marker, the methodological approach is highlighted and innovations in employing multilevel modeling are discussed. (Published Abstract)