RMX/PIccc: An Extended Person–Item Map and a Unified IRT Output for eRm, psychotools, ltm, mirt, and TAM

Psych Pub Date : 2023-09-05 DOI:10.3390/psych5030062
Milica Kabic, Rainer W. Alexandrowicz
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引用次数: 1

Abstract

A constituting feature of item response models is that item and person parameters share a latent scale and are therefore comparable. The Person–Item Map is a useful graphical tool to visualize the alignment of the two parameter sets. However, the “classical” variant has some shortcomings, which are overcome by the new RMX package (Rasch models—eXtended). The package provides the RMX::plotPIccc() function, which creates an extended version of the classical PI Map, termed “PIccc”. It juxtaposes the person parameter distribution to various item-related functions, like category and item characteristic curves and category, item, and test information curves. The function supports many item response models and processes the return objects of five major R packages for IRT analysis. It returns the used parameters in a unified form, thus allowing for their further processing.
RMX/PIccc: eRm、psychotools、ltm、mirt和TAM的扩展的人-项目图和统一的IRT输出
项目反应模型的一个组成特征是,项目和个人参数共享一个潜在的量表,因此具有可比性。人员-项目映射是一个有用的图形工具,可以可视化两个参数集的对齐情况。然而,“经典”变体有一些缺点,这些缺点被新的RMX包(Rasch模型——扩展)所克服。该包提供了RMX::plotPIccc()函数,该函数创建了一个名为“PIccc”的经典PI映射的扩展版本。它将个人参数分布与各种项目相关函数并置,如类别和项目特征曲线以及类别、项目和测试信息曲线。该函数支持许多项目响应模型,并处理五个主要R包的返回对象以进行IRT分析。它以统一的形式返回所使用的参数,从而允许对其进行进一步处理。
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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