Nonparametric item response theory using Stata
Nonparametric item response theory using Stata
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DOI：
10.1177/1536867x1101100102
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发表时间：
2011-01-01
期刊：
影响因子：
4.8
通讯作者：
Sebille, Veronique
中科院分区：
文献类型：
--
作者：
Hardouin, Jean-Benoit;Bonnaud-Antignac, Angelique;Sebille, Veronique
项目反应理论是一组模型和方法，用于分析受潜在变量或潜在特征影响的二元或有序变量（项目），即不能直接测量的变量。该理论最初是在教育评估中发展起来的，但在临床研究、生态学、精神病学和经济学中有许多其他应用。Mokken （1971, A Theory and Procedure of Scale Analysis [De Gruyter]）描述了Mokken量表。它们由满足项目反应理论的三个基本假设：单维性、单调性和局部独立性的项目组成。在项目反应理论中，它们可以被视为非参数模型。项目的轨迹和Loevinger的H系数是检查一组项目是否构成莫肯量表的特别有用的指标。但是，这些索引在一般统计软件包中是不可用的。我们引入Stata命令来计算它们。我们还描述了可用的选项并提供了输出示例。
Item response theory is a set of models and methods allowing for the analysis of binary or ordinal variables (items) that are influenced by a latent variable or latent trait-that is, a variable that cannot be measured directly. The theory was originally developed in educational assessment but has many other applications in clinical research, ecology, psychiatry, and economics.The Mokken scales have been described by Mokken (1971, A Theory and Procedure of Scale Analysis [De Gruyter]). They are composed of items that satisfy the three fundamental assumptions of item response theory: unidimensionality, monotonicity, and local independence. They can be considered nonparametric models in item response theory. Traces of the items and Loevinger's H coefficients are particularly useful indexes for checking whether a set of items constitutes a Mokken scale.However, these indexes are not available in general statistical packages. We introduce Stata commands to compute them. We also describe the options available and provide examples of output.