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Violation of Conditional Independence in the Many-Facets Rasch Model
Applied Measurement in Education ( IF 1.528 ) Pub Date : 2021-04-27 , DOI: 10.1080/08957347.2021.1890743
Christine E. DeMars 1
Affiliation  

ABSTRACT

Estimation of parameters for the many-facets Rasch model requires that conditional on the values of the facets, such as person ability, item difficulty, and rater severity, the observed responses within each facet are independent. This requirement has often been discussed for the Rasch models and 2PL and 3PL models, but it becomes more complex with more facets. To show how violation of conditional independence may be exhibited, three scenarios with different types of dependency are developed: (a) raters rating the same work, (b) a residual ability shared by two tasks, and (c) score on one task dependent on observed score on a previous task.



中文翻译:

违反多面 Rasch 模型中的条件独立性

摘要

多方面 Rasch 模型的参数估计要求以人的能力、项目难度和评分者严重程度等方面的值为条件,每个方面内观察到的反应是独立的。经常针对 Rasch 模型以及 2PL 和 3PL 模型讨论此要求,但随着更多方面,它变得更加复杂。为了展示如何违反条件独立性,开发了三种具有不同类型依赖性的场景:(a)评分者对相同的工作进行评分,(b)两个任务共享的剩余能力,以及(c)依赖于一项任务的得分在先前任务的观察分数上。

更新日期:2021-04-27
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