Cultural Correlates of Dating Violence in a Combined Gender Group of Latino College Students.

ABSTRACT

Prevalence rates of dating violence (DV) on college campuses are high. The documented effects of DV suggest substantial challenges across all domains of functioning; yet, DV is preventable. The research on risk and preventive factors for Latino college students is limited. This study used the social-ecological model to examine factors associated with DV at the individual, relationship, and societal levels. More specifically, we utilized structural equation modeling to build an acceptable model of physical and psychological intimate partner violence (IPV) experiences for Latino participants based on variables of gender role beliefs, acculturation, attitudes toward violence, and surveillance behavior, while considering development issues. We describe the practice and prevention implications of the study findings. Overall, the model showed excellent model fit (χ2[40] = 52.06, p < .09, root mean square error of approximation = 0.025, comparative fit index = 0.99, Tucker-Lewis Index = 0.98, and a coefficient of determination of 0.04), and several proposed pathways were found to be significant, exhibiting the utility of this model in understanding Latino Dating violence. Maternal education was found to be significantly negatively associated with Mexican orientation (ß = -.13, p = .02) and indirectly associated with both DV attitudes and surveillance through Mexican orientation, suggesting protective effects for lower maternal education and higher Mexican orientation. Machismo (ß = .18, p = .002) and caballerismo (ß = .26, p < .001) were both related to IPV attitudes. Machismo also directly increased the risk of surveillance (ß = .21, p < .001) and indirectly increased the risk of physical and psychological victimization through surveillance behavior. Mexican orientation predicted less endorsement of DV attitudes (ß = -.16, p < .001) and less surveillance (ß = -.09, p = .04). Victimization was predicted by caballerismo (ß = -.19, p < .001) and surveillance (ß = .33, p < .001).