This article investigates how different factors of a domestic violence incident impact the likelihood of a child abuse charge within the context of domestic violence arrests. Data from 5,148 domestic violence arrests were used to test whether domestic violence-, incident-, and child-based predictors increased the likelihood of a child abuse charge. Logistic regression models of gender-stratified samples were employed to test for gender differences among domestic violence arrestees. The results demonstrated predictors affected men’s odds of a child abuse charge when compared with women. For men and women, children witnessing the domestic violence incident had the largest impact on a child abuse charge. These results contribute to the underdeveloped area of police response to child abuse in domestic violence cases.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.