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Building a Model to Predict Sexual Assault Victimization Frequency Among Undergraduate Women
Violence Against Women ( IF 2.3 ) Pub Date : 2021-07-07 , DOI: 10.1177/10778012211022777
Mitchell Kirwan 1 , Daniel J Lanni 2 , Samantha Nagy 3 , Scott M Pickett 3
Affiliation  

Previous research has identified several factors, including sexual risk behaviors, alcohol consumption, sexual refusal assertiveness, impulse control difficulties, drinking to cope, and sex to cope, as being associated with sexual assault victimization. Data were collected from 465 adult, undergraduate women, and analyzed using structural equation modeling to determine how these variables related to one another. Results showed that together, these factors predicted 17.1% of the variance in victimization frequency. These findings may help future researchers better understand the etiology of sexual assault victimization on college campuses and prove crucial to the development of future intervention programs which reduce victimization.



中文翻译:

建立一个模型来预测本科女性的性侵犯受害频率

先前的研究已经确定了几个与性侵犯受害有关的因素,包括性危险行为、饮酒、性拒绝自信、冲动控制困难、饮酒应对和性应对。从 465 名成年、本科女性中收集数据,并使用结构方程模型进行分析,以确定这些变量如何相互关联。结果表明,这些因素共同预测了受害频率方差的 17.1%。这些发现可能有助于未来的研究人员更好地了解大学校园性侵犯受害的病因,并证明对未来制定减少受害的干预计划至关重要。

更新日期:2021-07-07
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