The use of an ongoing longitudinal dataset is cost-effective, efficient, and highly innovative in that we will examine developmental and prospective factors associated with FIV. Indeed, our dataset fills gaps in our existing understanding of FIV through robust assessment of trauma history, risk and protective factors, employment, relationships, and physical and mental health. The study team's use of a community sample, emphasis on protective factors, innovative combination of assessment methods (quantitative and qualitative) and multiple sources (self-reports and official records), and research translation and dissemination to policymakers and practitioners will produce an unparalleled and detailed account of FIV. Findings will be critically important to theoretical development and refinement, as well as informing evidence-based FIV prevention and intervention programs and policy.