THE PERFORMANCE OF AFFIRMATIVE ACTION STUDENTS AND ANALYSIS OF SUBJECTS GRADES USING LATENT CLASS AND LATENT BUDGET MODELS

E. Jelihovschi
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Abstract

Latent class analysis (LCA) is used to analyse data about performance of students. The original performance variables in the data set are course grade and approval status. However, those variables were not used directly, instead four new variables were calculated from those previous two, variables which are much more informative about the student performance. Coupled with another variable, say afirmative action, the results give light to an understanding about the performance of the divided by afirmative action, yes or no. Besides of showing the results it is also shown how the changing of the original variables by some suitable transformation of the original ones gives more reliable results. The main result is that armative action students have a lower performance than those coming from private schools. The paper also analyses the subjects grades using latent budget analysis (LBA), and it is found that the variables cited above have a real effect in characterizing the subjects. It is also shown that those results can be used in a process of evaluation on how the subject is being taught.
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平权行动学生的表现及使用潜在阶级和潜在预算模型的学科成绩分析
潜类分析(LCA)用于分析学生的表现数据。数据集中的原始绩效变量为课程成绩和审批状态。然而,这些变量并不是直接使用的,而是从之前的两个变量中计算出四个新的变量,这些变量对学生的表现有更多的信息。再加上另一个变量,比如平权行动,结果让我们了解了平权行动对学生表现的影响,是或否。除了给出结果外,还说明了如何通过对原始变量进行适当的变换来改变原始变量,从而得到更可靠的结果。主要结果是,私立学校的学生比私立学校的学生表现更差。本文还利用潜在预算分析(latent budget analysis, LBA)对被试的成绩进行了分析,发现上述变量对被试的特征具有真实的影响。研究还表明,这些结果可以用于评估该学科的教学情况。
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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Revista Brasileira de Biometria
Revista Brasileira de Biometria Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
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