Malamuth N M
J Pers Soc Psychol. 1986 May;50(5):953-62. doi: 10.1037//0022-3514.50.5.953.
This research integrated within a theoretical and empirical framework varied predictor factors pertaining to males' sexual aggression against women. The selection of predictors was guided by theorizing that sexual aggression is caused by the interaction among multiple factors, including those creating the motivation for the act, those reducing internal and external inhibitions, and those providing the opportunity for the act to occur. The predictor factors assessed were sexual arousal in response to aggression, dominance as a motive for sexual acts, hostility toward women, attitudes accepting of violence against women, psychoticism, and sexual experience. A measure assessing self-reported sexual aggression (primarily among acquaintances) in naturalistic settings served as the dependent measure. The subjects were 155 males. As expected, nearly all the predictor factors significantly related to sexual aggression. In addition, much better prediction of such aggression was achieved by a combination of these factors than by any one individually. It was also found that including interactions among these predictors yielded a regression equation that was more successful in relating to sexual aggression than an equation using an additive combination only. The relevance of these data to the causes and prediction of violence against women is discussed.
本研究纳入了一个理论和实证框架，该框架涵盖了与男性针对女性的性侵犯相关的各种预测因素。预测因素的选择基于这样的理论：性侵犯是由多种因素相互作用导致的，这些因素包括产生行为动机的因素、减少内部和外部抑制的因素以及为行为发生提供机会的因素。所评估的预测因素包括对攻击行为的性唤起、将支配作为性行为的动机、对女性的敌意、接受针对女性暴力的态度、精神质以及性经历。一项评估在自然环境中自我报告的性侵犯行为（主要是在熟人之间）的测量方法作为因变量。研究对象为155名男性。正如预期的那样，几乎所有预测因素都与性侵犯显著相关。此外，这些因素的组合对性侵犯的预测效果比任何单个因素都要好得多。研究还发现，纳入这些预测因素之间的相互作用所得到的回归方程，在与性侵犯的关联方面比仅使用相加组合的方程更为成功。本文讨论了这些数据与针对女性暴力行为的成因及预测的相关性。
