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Constant latent odds-ratios models and the Mantel-Haenszel null hypothesis

机译:恒定潜在赔率比模型和Mantel-Haenszel原假设

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In the present paper, a new family of item response theory (IRT) models for dichotomous item scores is proposed. Two basic assumptions define the most general model of this family. The first assumption is local independence of the item scores given a unidimensional latent trait. The second assumption is that the odds-ratios for all item-pairs are constant functions of the latent trait. Since the latter assumption is characteristic of the whole family, the models are called constant latent odds-ratios (CLORs) models. One nonparametric special case and three parametric special cases of the general CLORs model are shown to be generalizations of the one-parameter logistic Rasch model. For all CLORs models, the total score (the unweighted sum of the item scores) is shown to be a sufficient statistic for the latent trait. In addition, conditions under the general CLORs model are studied for the investigation of differential item functioning (DIF) by means of the Mantel-Haenszel procedure.
机译:在本文中,提出了用于二分项目得分的项目响应理论(IRT)模型的新家族。两个基本的假设定义了这个家庭的最通用模型。第一个假设是给定一维潜在特征的项目得分的局部独立性。第二个假设是所有项目对的赔率比是潜在性状的恒定函数。由于后一种假设是整个家庭的特征,因此这些模型称为恒定潜在赔率(CLOR)模型。一般参数CLORs模型的一种非参数特殊情况和三种参数特殊情况是一参数对数逻辑Rasch模型的推广。对于所有CLOR模型,总分(项目得分的未加权总和)显示为足够的潜在特征统计量。此外,还通过Mantel-Haenszel程序研究了通用CLORs模型下的条件,以研究差异项功能(DIF)。

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