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Class Size and Student Performance at a Public Research University: A Cross-Classified Model

机译:公立研究型大学的班级规模和学生表现:交叉分类模型

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摘要

This study addresses several methodological problems that have confronted prior research on the effect of class size on student achievement. Unlike previous studies, this analysis accounts for the hierarchical data structure of student achievement, where grades are nested within classes and students, and considers a wide range of class sizes across various disciplines. Based on data from undergraduate class sections at a single institution, the study provides consistent evidence of a negative effect of class size on grade performance, most substantially affecting the achievement of “A” grades with lesser effect on grades of “C” or higher. Because models with logarithmic specification show superior fit, this study also demonstrates that the effect of class size on students’ final grades diminishes as the class size increases. These findings suggest that a larger impact on student performance could be attained by further trimming enrollment in small classes than by reducing class size overall.
机译:这项研究解决了以前关于班级规模对学生成绩影响的研究所面临的一些方法论问题。与以前的研究不同,此分析考虑了学生成绩的分层数据结构,即成绩嵌套在班级和学生中,并考虑了各个学科的各种班级规模。基于来自单个机构的本科班部分的数据,该研究提供了一致的证据,表明班级规模对成绩表现产生负面影响,最大程度地影响“ A”成绩的取得,而对“ C”或更高成绩的影响较小。由于具有对数规格的模型显示出较高的拟合度,因此本研究还表明,班级规模对学生最终成绩的影响随班级规模的增加而减小。这些发现表明,通过进一步减少小班学生的入学率,而不是整体上减少班级人数,可以对学生表现产生更大的影响。

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