Javier, Cid Ancheta

Abstract: Women's physical, reproductive, and emotional health are all significantly impacted by intimate partner violence (IPV), which is now recognized as a serious public health issue. According to the feminist paradigm, intimate partner violence is a complex issue that involves both socio-cultural and psychological elements interacting. To realize an accurate cluster of countries and develop a statistical model to explain the prevalence of domestic violence against women, a data mining model of global domestic violence against women's incidence was constructed. The research results show three clusters among the countries from the different regions of the world, characterized by the variables considered. Moreover, the results reveal that the poverty gap, literacy rate, alcohol consumption of men, the share of the population with alcohol or drug use disorders, prevalence of anxiety disorders in women, and prevalence of depressive disorders in both men and women came out as significant predictors.

Keywords: global domestic violence, feminist theory of violence, cluster analysis, discriminant analysis.

SDG: SDG 3, SDG 5, SDG 16