Suppr超能文献

重新评估男性性侵犯风险的融合模型。

Reassessing the Confluence Model of Men's Risk for Sexual Aggression.

作者信息

Yucel Ebru, Angelone D J, Jones Meredith C

机构信息

Rowan University, Glassboro, NJ, USA.

出版信息

J Interpers Violence. 2023 Apr;38(7-8):6062-6084. doi: 10.1177/08862605221127376. Epub 2022 Oct 11.

Abstract

Reassessing the confluence model of men's risk for sexual aggression-the confluence model of sexual aggression has been widely used to study men's risk for perpetrating sexual violence. Over time, researchers have attempted to expand this model to improve its predictive utility. Unfortunately, this work has continued to produce similar results with only slight improvements in prediction at best. One explanation for the inability to enhance the model could be due to changes in the dating landscape and shifts in beliefs about gender roles. Therefore, the current study aims to reassess the confluence model using a more contemporary construct, hostile sexism, in an effort to improve the predictive utility of the confluence model of sexual aggression. Participants were 258 college men recruited from a medium-sized public university in the northeastern United States, using an online participant pool of students who volunteered to participate as part of a requirement for a psychology course. Structural equation modeling using mean- and variance-adjusted weighted least squares estimation indicated that the confluence of hostile sexism and impersonal sex appears to be a better predictor of sexual aggression in comparison to the confluence of hostile masculinity and impersonal sex. The results suggest that replacing hostile masculinity with hostile sexism may produce a model that is better able to predict men's risk for perpetrating sexual aggression. These results can provide insight for future iterations of the confluence model, which may include hostile sexism as a core construct. Attitudes that stem from hostile sexism may be a beneficial target for future interventions designed to decrease the frequency of perpetration.

摘要

重新评估男性性侵犯风险的融合模型——性侵犯的融合模型已被广泛用于研究男性实施性暴力的风险。随着时间的推移,研究人员试图扩展该模型以提高其预测效用。不幸的是,这项工作一直产生类似的结果,充其量只是在预测方面略有改进。无法改进该模型的一种解释可能是约会环境的变化以及对性别角色观念的转变。因此,本研究旨在使用一种更现代的构念——敌意性别歧视,重新评估融合模型,以提高性侵犯融合模型的预测效用。参与者是从美国东北部一所中型公立大学招募的258名男性大学生,使用的是一个在线学生参与者库,这些学生自愿作为心理学课程要求的一部分参与。使用均值和方差调整加权最小二乘估计的结构方程模型表明,与敌意男性气质和非个人性的融合相比,敌意性别歧视和非个人性的融合似乎是性侵犯的更好预测指标。结果表明,用敌意性别歧视取代敌意男性气质可能会产生一个更能预测男性实施性侵犯风险的模型。这些结果可以为融合模型的未来迭代提供见解,未来迭代可能将敌意性别歧视作为核心构念。源于敌意性别歧视的态度可能是未来旨在减少性侵犯频率的干预措施的有益目标。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验