Cho Sun-Joo, Gilbert Jennifer K, Goodwin Amanda P
Vanderbilt University, Peabody #H213A, 230 Appleton Place, Nashville, TN, 37203, USA,
Psychometrika. 2013 Oct;78(4):830-55. doi: 10.1007/s11336-013-9333-5. Epub 2013 Mar 15.
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.
本文提出了一种解释性的多维多层次随机项目反应模型及其在具有多层次项目结构的阅读数据中的应用。该模型包括多层次随机项目参数，允许考虑项目和项目组层面项目参数的变异性。纳入项目层面的随机项目参数，以对使用与项目相关的协变量来解释项目难度变化时剩余的未解释方差进行建模。纳入项目组层面的随机项目参数，以对具有相同项目主干的项目之间的项目反应依赖性进行建模。利用该模型，本研究考察了一个人的词汇知识维度，即词汇表征，以及形态知识的各个方面如何对不同的人、项目和项目组的词汇表征做出贡献。
