Examining Men's Perceptions of GBV Prevention Programming Content

Why Do Students Participate in Campus Sexual Assault Climate Surveys?

The purpose of the current study is to explore students' reasons for participating in a campus sexual assault climate survey to determine if patterns exist based on various identities and experiences. More specifically, we were interested in the most frequently reported reasons for participating, and whether they differed by key demographic variables. As part of a campus climate survey administration at two campuses, 4,020 students responded to survey questions asking why they participated in the survey (Sample 1, n = 2,937 and Sample 2, n = 1,083). To examine which demographic variables predicted reasons for taking the survey while controlling for other potential correlates, we conducted logistic regression analyses. The reasons provided by students as to why they completed the campus climate survey differed by identity characteristics, suggesting that researchers must consider the demographic makeup of their institutions when designing sampling and recruitment plans and tailoring them to their student populations. For example, while gender emerged as salient for differing reasons for participation (e.g., women more likely to participate because of the issue's importance and wanting their opinions heard more), intersectional analysis by race and gender indicates that White men (and Asian men, in Sample 1) most consistently indicated different reasons for participation, with significantly greater odds than their White and Asian women counterparts to participate for the cash incentives. This information could help improve the recruitment of representative samples for campus sexual assault surveys and therefore provide more accurate data that can be used to deliver effective intervention and prevention efforts.

Determinants of Gender-based Violence Against Women in Spain: An Asymmetric Bayesian Model

The number of fatalities in Spain due to gender-based violence has increased in recent years, with a new rise in 2019, reaching the highest figure since 2015, a year that registered a peak with 60 victims. This article analyzes a database obtained from a survey on gender violence conducted by the Spanish Centre for Sociological Research. The survey, prepared by the Government Delegation for Gender Violence, consisted of interviews with women aged over 15 years living in 858 municipalities distributed over 50 provinces in Spain. The data reveal that most of the women interviewed have not suffered any type of physical, sexual, or psychological abuse. Hence, the application of standard logistic methodologies which suppose symmetric responses, can lead to a poor specification of the model, a misinterpretation of marginal effects and unidentified predictors. It seems more appropriate to consider an asymmetric link function to explain the probability of abuse (physical, sexual, or psychological). The Bayesian methodology allows the incorporation of such an asymmetric function improving the specification of the model. In this article, we compare both methodologies and prove that Bayesian asymmetric performs better results by considering several diagnostic criteria. Furthermore, this methodology detects some significative factors that are not revealed by the classical method, e.g., the partner's nationality for sexual abuse or the women's total number of intimate partners for psychological abuse. Bayesian asymmetric estimations reveal no significance concerning to the lowest partner's level of education for physical abuse but if the intimate partner is currently studying this reduces the probability of sexual abuse. The woman's level of education is not relevant to the physical, sexual, or psychological abuses suffered. Therefore, the findings may help identify economic and sociological factors not previously considered in this area and highlight policies that may be adopted or revised to help overcome this social problem.