为什么女性在大学里的表现比录取分数预测的要好:探索责任心和课程学习模式的作用。

Heidi N. Keiser, P. Sackett, N. Kuncel, Thomas Brothen
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引用次数: 106

摘要

在相同的入学考试成绩下,女性通常会比男性获得更高的大学gpa。一种普遍的反应是将此归咎于入学考试的缺陷。我们探讨了这种对女性表现的低估是否反映了性别在责任心和大学课程学习模式上的差异。在研究1中,我们专注于使用ACT来预测单个大型课程的表现,其中表现被分解为认知(考试和测验分数)和较少的认知,自由裁量成分(讨论和额外学分)。ACT并没有低估女性的认知表现,但它确实低估了女性在学业表现中认知程度较低、自由裁量的部分的表现,因为它没有衡量和解释尽责性这一人格特质。在研究2中,我们创建了两个课程难度指数(课程挑战和课程平均能力),并将它们添加到HLM回归模型中,以查看它们是否降低了SAT分数低估女性表现的程度。包含课程挑战确实会导致性别系数的适度降低;然而,在课程中包括平均能力则不是。因此,选修课程模式的差异是对性别差异预测这一普遍发现的部分(尽管很小)解释。
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Why women perform better in college than admission scores would predict: Exploring the roles of conscientiousness and course-taking patterns.
Women typically obtain higher subsequent college GPAs than men with the same admissions test score. A common reaction is to attribute this to a flaw in the admissions test. We explore the possibility that this underprediction of women's performance reflects gender differences in conscientiousness and college course-taking patterns. In Study 1, we focus on using the ACT to predict performance in a single, large course where performance is decomposed into cognitive (exam and quiz scores) and less cognitive, discretionary components (discussion and extra credit points). The ACT does not underpredict female's cognitive performance, but it does underpredict female performance on the less cognitive, discretionary components of academic performance, because it fails to measure and account for the personality trait of conscientiousness. In Study 2, we create 2 course-difficulty indices (Course Challenge and Mean Aptitude in Course) and add them to an HLM regression model to see if they reduce the degree to which SAT scores underpredict female performance. Including Course Challenge does result in a modest reduction of the gender coefficient; however, including Mean Aptitude in Course does not. Thus, differences in course-taking patterns is a partial (albeit small) explanation for the common finding of differential prediction by gender.
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