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首页> 外文期刊>Journal of Applied Psychology >Test of Slope and Intercept Bias in College Admissions: A Response to Aguinis, Culpepper, and Pierce (2010)
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Test of Slope and Intercept Bias in College Admissions: A Response to Aguinis, Culpepper, and Pierce (2010)

机译：在大学录取中测试坡度和截距偏差：对Aguinis，Culpepper和Pierce的回应（2010）

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摘要

Research on the predictive bias of cognitive tests has generally shown (a) no slope effects and (b) small intercept effects, typically favoring the minority group. Aguinis, Culpepper, and Pierce (2010) simulated data and demonstrated that statistical artifacts may have led to a lack of power to detect slope differences and an overestimate of the size of the intercept effect. In response to Aguinis et al.’s (2010) call for a revival of predictive bias research, we used data on over 475,000 students entering college between 2006 and 2008 to estimate slope and intercept differences in the college admissions context. Corrections for statistical artifacts were applied. Furthermore, plotting of regression lines supplemented traditional analyses of predictive bias to offer additional evidence of the form and extent to which predictive bias exists. Congruent with previous research on bias of cognitive tests, using SAT scores in conjunction with high school grade-point average to predict first-year grade-point average revealed minimal differential prediction (?Rintercept 2 ranged from .004 to .032 and ?Rslope 2 ranged from .001 to .013 depending on the corrections applied and comparison groups examined). We found, on the basis of regression plots, that college grades were consistently overpredicted for Black and Hispanic students and underpredicted for female students.
机译：对认知测验的预测偏见的研究通常显示（a）无斜率效应和（b）小拦截效应，通常偏向少数群体。 Aguinis，Culpepper和Pierce（2010）对数据进行了模拟，并证明了统计伪像可能导致检测坡度差异的能力不足，并高估了截取效应的大小。为了回应Aguinis等人（2010）呼吁复兴预测偏差研究的呼声，我们使用了2006年至2008年间超过475,000名进入大学的学生的数据来估计斜率并拦截大学录取背景下的差异。应用了统计伪像的校正。此外，回归线的绘制补充了对预测偏差的传统分析，从而提供了有关预测偏差存在的形式和程度的更多证据。与先前关于认知测验偏见的研究一致，使用SAT分数与高中平均分相结合来预测第一年平均分揭示了最小的差异预测（？Rintercept 2的范围从.004到.032和？Rslope 2范围从.001到.013，具体取决于所应用的校正和所检查的比较组）。根据回归图，我们发现黑人和西班牙裔学生的大学成绩一直被高估，而女学生的大学成绩却被低估。

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