An Application of the Multidimensional Random Coefficients Multinomial Logit Model to Evaluating Cognitive Models of Reasoning in Genetics

Edward W. Wolfe; Daniel T. Hickey; Ann C.H. Kindfield

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An Application of the Multidimensional Random Coefficients Multinomial Logit Model to Evaluating Cognitive Models of Reasoning in Genetics

机译：多维随机系数多项式Logit模型在遗传学推理认知模型评估中的应用

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This article summarizes multidimensional Rasch analyses in which several alternative models of genetics reasoning are evaluated based on item response data from secondary students who participated in a genetics reasoning curriculum. The various depictions of genetics reasoning are compared by fitting several models to the item response data and comparing data-to-model fit at the modellevel between hierarchically nested models. We conclude that two two-dimensional models provide a substantively better depiction of student performance than does a unidimensional model or more complex three- and four-dimensional models.

机译：本文总结了多维Rasch分析，其中基于来自参加遗传推理课程的中学生的项目响应数据，评估了多种遗传推理模型。通过将多个模型拟合到项目响应数据并在层次嵌套模型之间的模型级别比较数据对模型的拟合，可以比较遗传学推理的各种描述。我们得出的结论是，与一维模型或更复杂的三维和四维模型相比，两个二维模型可以更好地描述学生的表现。

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来源
《Journal of applied measurement》 |2009年第2期|196-207|共12页
作者
Edward W. Wolfe; Daniel T. Hickey; Ann C.H. Kindfield;
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作者单位

Indiana University;

Educational Designs Unlimited;

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正文语种 eng
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An Application of the Multidimensional Random Coefficients Multinomial Logit Model to Evaluating Cognitive Models of Reasoning in Genetics

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