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研究生入学考试预测效度的综合荟萃分析:对研究生选拔和表现的启示

A comprehensive meta-analysis of the predictive validity of the graduate record examinations: implications for graduate student selection and performance.

作者信息

Kuncel Nathan R, Hezlett Sarah A, Ones Deniz S

机构信息

U Minnesota.

出版信息

Psychol Bull. 2001 Jan;127(1):162-181. doi: 10.1037/0033-2909.127.1.162.

Abstract

This meta-analysis examined the validity of the Graduate Record Examinations (GRE) and undergraduate grade point average (UGPA) as predictors of graduate school performance. The study included samples from multiple disciplines, considered different criterion measures, and corrected for statistical artifacts. Data from 1,753 independent samples were included in the meta-analysis, yielding 6,589 correlations for 8 different criteria and 82,659 graduate students. The results indicated that the GRE and UGPA are generalizably valid predictors of graduate grade point average, 1st-year graduate grade point average, comprehensive examination scores, publication citation counts, and faculty ratings. GRE correlations with degree attainment and research productivity were consistently positive; however, some lower 90% credibility intervals included 0. Subject Tests tended to be better predictors than the Verbal, Quantitative, and Analytical tests.

摘要

这项荟萃分析检验了研究生入学考试(GRE)和本科平均绩点(UGPA)作为研究生阶段学业表现预测指标的有效性。该研究纳入了多个学科的样本,考虑了不同的标准衡量指标,并对统计假象进行了校正。荟萃分析纳入了来自1753个独立样本的数据,得出了针对8种不同标准和82659名研究生的6589个相关性数据。结果表明,GRE和UGPA是研究生平均绩点、一年级研究生平均绩点、综合考试成绩、发表论文被引用次数以及教师评分的普遍有效预测指标。GRE与学位获得情况和研究生产力之间的相关性始终为正;然而,一些较低的90%可信度区间包含0。学科测试往往比语文、数学和分析性测试更能有效预测。

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