Detecting Item Bias with the Rasch Model

Richard M. Smith

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Detecting Item Bias with the Rasch Model

机译：使用Rasch模型检测项目偏差

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The purpose of this article is to introduce the concept of item bias, highlighting the differences between the definition of the term as it is used within Rasch measurement and the definition of the term as it is used in the true-score model, non-model based approaches, or multi-item parameter latent trait models. The discussion continues with a description of alternative methods of assessing item bias within the Rasch measurement framework and discusses the power of these methods to detect the presence of item bias. The discussion concludes with several examples drawn from a number of different mathematics tests. This includes a comparison of the Rasch separate calibration t-test and the Mantel-Haenszel approaches.

机译：本文的目的是介绍项目偏差的概念，重点介绍在Rasch度量中使用的术语定义与在真实评分模型（非模型）中使用的术语定义之间的区别基本方法或多项目参数潜在特征模型。讨论继续描述了在Rasch测量框架内评估项目偏差的替代方法，并讨论了这些方法检测项目偏差的能力。讨论以从许多不同的数学测试中得出的几个示例结束。这包括对Rasch独立校准t检验和Mantel-Haenszel方法的比较。

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《Journal of applied measurement》 |2004年第4期|p.430-449|共20页
作者
Richard M. Smith;
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Data Recognition Corporation, P. O. Box 1283, Maple Grove, MN 55311;

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正文语种 eng
中图分类一般工业技术;
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Detecting Item Bias with the Rasch Model

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