Focal Concerns and Intimate Partner Violence Case Processing: Predicting Arrest Using a Stratified Random Sample of Police Case File Data

Abstract

Focal concerns has utility for explaining criminal justice decisions, including among police. At present, there is no research that has examined focal concerns and arrest decisions in non-sexual, intimate partner violence (IPV) cases. This study used a stratified random sample of 776 IPV incidents from an urban police department in one of the five largest and most diverse US cities to assess the effect of focal concerns on arrest. A multivariate binary logistic regression model demonstrated victim injury, suspect IPV and general criminal history, evidence, witnesses, victim preference for formal intervention, women victims, and intoxicated suspects predicted arrest. When the suspect was on scene, this was the strongest predictor of arrest. Implications and future research are discussed.