a Ferkauf Graduate School of Psychology, Yeshiva University; and Department of Epidemiology, Mailman School of Public Health, Columbia University.
b Ferkauf Graduate School of Psychology , Yeshiva University.
J Sex Res. 2019 Jul-Aug;56(6):802-810. doi: 10.1080/00224499.2019.1581882. Epub 2019 Mar 18.
Sexual assault, often defined as nonconsensual sex, is a problem among college students. Universities have made efforts to increase student awareness about sexual consent, which varies along two dimensions: internal feelings of wantedness and external expressions of consent. However, interventions focus on increasing knowledge of the external expression of consent despite the importance of both dimensions for effective sexual communication. A validated research tool that captures students' ecological experiences along both dimensions is critical. The current study aimed to replicate and validate the factor structure of the Internal Consent Scale (ICS) and External Consent Scale (ECS) in a sample of 610 undergraduate students and to expand on prior work by examining associations with relationship to partner and sexual orientation. Confirmatory factor analyses (CFA) provided support for the ICS in its current form (i.e., model fit and factor loadings for the ICS were good). Although model fit for the ECS was good, one subscale, no response signals, had poor factor loadings (.16, .38); thus, suggestions are offered to improve its psychometric properties. Despite limitations of the ECS, these dual measures fill a gap in the consent literature by providing a tool to quantify internal and external aspects of sexual consent.
性侵犯通常被定义为非自愿的性行为，是大学生群体中存在的一个问题。各所大学已经做出努力来提高学生对性同意的认知，性同意包含两个维度：内在的意愿和外在的表达。然而，干预措施主要侧重于增加对同意的外在表达的了解，尽管这两个维度对于有效的性沟通都很重要。一个能同时捕捉到这两个维度的学生生态体验的经过验证的研究工具是至关重要的。本研究旨在对本科生样本中的 610 名学生重复和验证内在同意量表（ICS）和外在同意量表（ECS）的结构，并通过考察与伴侣关系和性取向的关联来扩展先前的工作。验证性因子分析（CFA）为 ICS 的现有形式提供了支持（即，ICS 的模型拟合和因子负荷都很好）。尽管 ECS 的模型拟合良好，但一个子量表，即没有回应信号，因子负荷较差（.16，.38）；因此，提出了一些建议来改进其心理测量特性。尽管 ECS 存在局限性，但这些双重措施通过提供一种量化性同意的内在和外在方面的工具，填补了同意文献中的空白。
