平均排名和调整排名是比GPA更好的衡量大学生成功的标准

IF 2.7 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Donald Wittman
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引用次数: 0

摘要

我通过对一所大型公立大学的评分进行细致的实证调查,表明有比平均绩点(GPA)更好的衡量学生大学表现的方法。使用GPA作为比较表现的衡量标准的价值被学习成绩较差的学生选择评分更慷慨的课程所削弱。事实上,由表现较差的学生组成的大学课程(无论是以他们在其他课程中的相对表现、SAT分数还是高中GPA来衡量)的平均成绩更高。为了部分纠正跨班级的特殊评分,引入了替代措施,学生班级排名和学生平均班级排名。与学生的低年级成绩相比,学生的低年级排名可以更好地预测学生在高年级课程中的成绩。课程排名和成绩被调整,以考虑不同课程的学术竞争力水平(更准确地说,是学生固定效应)。然后,SAT分数和高中GPA被用来预测大学的表现。当因变量是平均班级排名而不是GPA时,得到更高的解释变异(R2)。当因变量被调整等级时,还会出现更高的解释变异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Average Rank and Adjusted Rank Are Better Measures of College Student Success than GPA

I show that there are better measures of student college performance than grade point average (GPA) by undertaking a fine-grained empirical investigation of grading within a large public university. The value of using GPA as a measure of comparative performance is undermined by academically weaker students taking courses where the grading is more generous. In fact, college courses composed of weaker performing students (whether measured by their relative performance in other classes, SAT scores, or high school GPA) have higher average grades. To partially correct for idiosyncratic grading across classes, alternative measures, student class rank and the student's average class rank, are introduced. In comparison to a student's lower-division grade, the student's lower-division rank is a better predictor of the student's grade in the upper-division course. Course rank and course grade are adjusted to account for different levels of academic competitiveness across courses (more precisely, student fixed-effects are derived). SAT scores and high school GPA are then used to predict college performance. Higher explained variation (R2) is obtained when the dependent variable is average class rank rather than GPA. Still higher explained variation occurs when the dependent variable is adjusted rank.

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来源期刊
CiteScore
3.90
自引率
15.00%
发文量
47
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