考试成绩的多级顺序模型

A. Fielding, Min Yang, H. Goldstein
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引用次数: 60

摘要

在多层次的情况下,分级类别反应通常被转换成分数和线性模型来拟合连续的正态反应。这在教育研究中尤为普遍。建立了响应类别的广义多层有序模型,并在某些方面与这些常规模型进行了比较。重点是对英格兰和威尔士高等教育普通证书考试的大型数据库进行分析。序数模型似乎在促进更详细地研究制度差异方面具有优势。特别重要的是具有非比例变化的概率的logit模型所提供的灵活性。给出了可以评估的制度差异和亚群体差异的更丰富对比的例子。本文还讨论了适用于这种方法的广泛可用的软件。
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Multilevel ordinal models for examination grades
In multilevel situations graded category responses are often converted to points scores and linear models for continuous normal responses fitted. This is particularly prevalent in educational research. Generalized multilevel ordinal models for response categories are developed and contrasted in some respects with these normal models. Attention is given to the analysis of a large database of the General Certificate of Education Advanced Level examinations in England and Wales. Ordinal models appear to have advantages in facilitating the study of institutional differences in more detail. Of particular importance is the flexibility offered by logit models with nonproportionally changing odds. Examples are given of the richer contrasts of institutional and subgroup differences that may be evaluated. Appropriate widely available software for this approach is also discussed.
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