Predictive Validities: Figures of Merit or Veils of Deception?

P. Schonemann, M. Heene
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引用次数: 4

Abstract

The ETS has recently released new estimates of validities of the GRE for predicting cumulative graduate GPA. They average in the middle thirties – twice as high as those previously reported by a number of independent investigators. It is shown in the first part of this paper that this unexpected finding can be traced to a flawed methodology that tends to inflate multiple correlation estimates, especially those of populations values near zero. Secondly, the issue of upward corrections of validity estimates for restriction of range is taken up. It is shown that they depend on assumptions that are rarely met by the data. Finally, it is argued more generally that conventional test theory, which is couched in terms of correlations and variances, is not only unnecessarily abstract but, more importantly, incomplete, since the practical utility of a test does not only depend on its validity, but also on base-rates and admission quotas. A more direct and conclusive method for gauging the utility of a test involves misclassification rates, and entirely dispenses with questionable assumptions and post-hoc "corrections". On applying this approach to the GRE, it emerges (1) that the GRE discriminates against ethnic and economic minorities, and (2) that it often produces more erroneous decisions than a purely random admissions policy would.
预测效度:优点的形象还是欺骗的面纱?
美国教育考试服务中心最近发布了对GRE预测毕业生累积GPA的有效性的新估计。他们的平均年龄在35岁左右,是之前一些独立调查人员报告的两倍。本文的第一部分表明,这一意想不到的发现可以追溯到一种有缺陷的方法,这种方法倾向于夸大多重相关性估计,特别是那些接近零的人口值。其次,讨论了有效度估计在极差限制下的向上修正问题。结果表明,它们所依赖的假设很少与实际数据相符。最后,它更普遍地认为,传统的测试理论,这是用相关性和方差来表达的,不仅是不必要的抽象,而且更重要的是,不完整,因为测试的实际效用不仅取决于它的有效性,而且取决于基本率和录取配额。衡量测试效用的一种更直接和结论性的方法涉及错误分类率,并且完全省去了有问题的假设和事后的“修正”。将这种方法应用到GRE考试中,可以发现:(1)GRE考试歧视少数民族和经济上的少数民族,(2)与纯粹随机的录取政策相比,它往往会产生更多错误的决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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