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Explanatory Multidimensional Multilevel Random Item Response Model: An Application to Simultaneous Investigation of Word and Person Contributions to Multidimensional Lexical Representations

机译:解释性多维多级随机项目响应模型:在同时调查单词和人对多维词汇表征的贡献中的应用

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摘要

This paper presents an explanatory multidimensional multilevel random item response model and its application to reading data with multilevel item structure. The model includes multilevel random item parameters that allow consideration of variability in item parameters at both item and item group levels. Item-level random item parameters were included to model unexplained variance remaining when item related covariates were used to explain variation in item difficulties. Item group-level random item parameters were included to model dependency in item responses among items having the same item stem. Using the model, this study examined the dimensionality of a person's word knowledge, termed lexical representation, and how aspects of morphological knowledge contributed to lexical representations for different persons, items, and item groups.
机译:本文提出了一种解释性的多维多级随机项目响应模型及其在读取具有多级项目结构的数据中的应用。该模型包括多级随机项目参数,这些参数允许考虑项目和项目组级别的项目参数的可变性。当使用与项目相关的协变量来解释项目难度的变化时,将项目级别的随机项目参数包括在内,以建模无法解释的剩余方差。包含项目组级别的随机项目参数以对具有相同项目词干的项目之间的项目响应进行建模。使用该模型,本研究检查了一个人的单词知识的维数(称为词汇表示),以及形态学知识的各个方面如何促进不同人员,项目和项目组的词汇表示。

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