Comparing Causes of Dependency: Shared Latent Trait or Dependence on Observed Response.

Journal of applied measurement Pub Date : 2020-01-01
Christine E DeMars
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Abstract

Accurate parameter estimation in the Rasch model involves the assumption of conditional independence, also termed local independence. Conditional on ability, the responses to items A and B should be independent. Two types of conditional dependence are detailed in this pedagogical piece: trait dependency and response dependency. The bias in difficulty and reliability and the estimates of fit and correlated residuals resulting from these dependencies are compared and contrasted to results from using models that account for the dependency. Contrasts with results from a 2-parameter item response theory model are also briefly noted.

比较依赖的原因:共同的潜在特质或对观察反应的依赖。
在Rasch模型中,精确的参数估计涉及到条件独立性的假设,也称为局部独立性。在能力的条件下,对A项和B项的反应应该是独立的。这篇教学文章详细介绍了两种类型的条件依赖:特质依赖和反应依赖。将这些依赖关系导致的难度和可靠性偏差以及拟合和相关残差的估计与使用考虑依赖关系的模型的结果进行比较和对比。并简要说明了与双参数项目反应理论模型结果的对比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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