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Detecting Aberrant Response Behavior with Nonparametric Method: Mokken and PerFit Packages in RStudio

机译:用非参数方法检测异常响应行为:Rstudio中的Mokken和Perfit包

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摘要

In order to reach valid and reliable test scores, various test theories have been developed, and one of them is nonparametric item response theory (NIRT). Mokken Models are the most widely known NIRT models which are useful for small samples and short tests. Mokken Package is useful for Mokken Scale Analysis. An important issue about validity is whether individual responses reflect individuals' characteristics truly or not. Examining individuals' score patterns with person-fit statistics is one way to detect invalid responses. PerFit Package can be used for detecting aberrant response patterns. This article explains and shows how to use Mokken and PerFit packages in RStudio.
机译:为了达到有效和可靠的考试成绩,已经开发了各种测试理论,其中一个是非参数项目响应理论(NIRT)。 Mokken Models是已知的最广泛的NIRT模型,可用于小型样本和短期测试。 Mokken Package对Mokken Scale分析非常有用。有效性的一个重要问题是个人反应是否反映了个人的特征。审查与人拟合统计数据的个人分数模式是检测无效响应的一种方法。 Perfit包可用于检测异常响应模式。本文介绍了如何在RStudio中使用Mokken和Perfit软件包。

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