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预测医学技术专业的学业成绩:一项基于大学的回顾性项目。

Predicting academic performance in medical technology: a university-based program in retrospect.

作者信息

Lanier R A, Lambert N T

出版信息

Am J Med Technol. 1981 May;47(5):314-9.

PMID:7246591
Abstract

In a study of the relative contribution of two achievement measures and five aptitude measures in determining three measures of academic performance, an achievement measure in combination with an aptitude measure provided the most efficient explanations. Stepwise multiple regressions were performed on data from 112 medical technology graduates to determine that science grade point average (GPA) and Nelson-Denny Combination sub-score significantly predicted professional GPA. Additionally, science GPA and the Otis Test score explained the variations in both certification examination performance and comprehensive examination performance.

摘要

在一项关于两种成绩测量指标和五种能力倾向测量指标对三种学业成绩测量指标的相对贡献的研究中,一项成绩测量指标与一项能力倾向测量指标相结合能提供最有效的解释。对112名医学技术专业毕业生的数据进行了逐步多元回归分析,以确定理科平均绩点(GPA)和纳尔逊-丹尼综合子分数能显著预测专业GPA。此外,理科GPA和奥蒂斯测试分数解释了认证考试成绩和综合考试成绩的变化情况。

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