Departments of Communication and Psychology, University of California, Los Angeles, California, USA.
Department of Psychology, University of Massachusetts, Dartmouth, Massachusetts, USA.
Aggress Behav. 2021 Jul;47(4):405-420. doi: 10.1002/ab.21960. Epub 2021 Mar 14.
This article focuses on the characteristics of sexually violent men who have not been convicted of a crime. The objective of this study was to test the four key interrelated pillars of the Confluence Model. The first key pillar posits the interaction of Hostile Masculinity and Impersonal Sex as core risk predictors. The second pillar entails a "mediated structure" wherein the impact of more general risk factors is mediated via those specific to aggression against women. The third pillar comprises a single latent factor underlying various types of sexual violence. The fourth pillar expands the core model by including the secondary risk factors of lower empathy, peer support, extreme pornography use, and participation in alcohol parties. An ethnically diverse sample of 1,148 male students from 13 U.S. colleges and universities completed a comprehensive survey that assessed the hypothesized risk factors and self-reported sexual violence, which included noncontact sexual offenses, contact sexual coercion, and contact sexual aggression. A series of multiple regression analyses were conducted before testing structural equation models. The results supported the integration of the four pillars within a single expanded empirical model that accounted for 49% of the variance of sexual violence. This study yielded data supporting all four key pillars. These findings provide information about non-redudant risk factors that can be used to develop screening tools, group-based and individually tailored psychoeducational and treatment interventions.
本文重点介绍了未被定罪的性暴力男性的特征。本研究旨在检验融合模型的四个关键相互关联的支柱。第一个关键支柱假设敌对男性气质和非人格性行为的相互作用是核心风险预测因素。第二个支柱涉及一个“中介结构”,其中更普遍的风险因素的影响通过针对妇女的侵略行为的特定因素来中介。第三个支柱是由各种类型的性暴力行为下的单个潜在因素组成。第四个支柱通过包括同理心较低、同伴支持、极端色情使用和参加酒精派对等次要风险因素来扩展核心模型。13 所美国高校的 1148 名男性学生组成了一个种族多样化的样本,完成了一项综合调查,评估了假设的风险因素和自我报告的性暴力行为,包括非接触性性犯罪、接触性性胁迫和接触性性侵犯。在测试结构方程模型之前,进行了一系列多元回归分析。结果支持在单个扩展经验模型中整合四个支柱,该模型解释了性暴力行为 49%的方差。本研究得出的数据支持所有四个关键支柱。这些发现提供了有关非冗余风险因素的信息,可用于开发筛查工具、基于群体和个性化的心理教育和治疗干预措施。