更正:项目反应理论中基于残差的差异项目功能检测框架

IF 1.4 4区心理学 Q3 PSYCHOLOGY, APPLIED Journal of Educational Measurement Pub Date : 2023-02-26 DOI:10.1111/jedm.12362

Hwanggyu Lim, Edison M. Choe, Kyung T. Han

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引用次数: 0

摘要

在最初的文章中，它是这样写的:“然后在R (R Core Team, 2019)包irtplay中分别使用est_score和RDIF函数执行MLE评分和使用RDIF统计的DIF分析(第90页)。”但是，由于知识产权(IP)侵犯问题，该irtplay包已从CRAN存储库中删除。取而代之的是一个名为irtQ (Lim &《威尔斯，2023年》(Wells, 2023)作为irtplay的继承者发布。irtQ解决了所有IP问题，确保封装符合行业标准。https://doi.org/10.1111/jedm.12313We想告知，irtQ中也包含了原始研究中使用的est_score和rdif的相同函数。因此，它可以作为一种替代节目。对于之前的文章版本所造成的混乱，我们深表歉意。

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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Corrigendum: A Residual-Based Differential Item Functioning Detection Framework in Item Response Theory

In the original article, it was written that “Then the MLE scoring and DIF analysis with RDIF statistics were performed using the est_score and rdif functions, respectively, in the R (R Core Team, 2019) package irtplay (p.90).” However, the irtplay package has been removed from the CRAN repository due to intellectual property (IP) violation issues. Instead, a new R package called irtQ (Lim & Wells, 2023) has been released as a successor to irtplay. All IP issues have been resolved in irtQ, ensuring that the package is compliant with industry standards. https://doi.org/10.1111/jedm.12313

We would like to inform that the same functions of est_score and rdif used in the original study are also included in irtQ. Thus, it can be used as a replacement for irtplay. We apologize for any confusion caused by the previous version of the article.

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来源期刊

Journal of Educational Measurement Multiple-

CiteScore

2.30

自引率

7.70%

发文量

期刊介绍： The Journal of Educational Measurement (JEM) publishes original measurement research, provides reviews of measurement publications, and reports on innovative measurement applications. The topics addressed will interest those concerned with the practice of measurement in field settings, as well as be of interest to measurement theorists. In addition to presenting new contributions to measurement theory and practice, JEM also serves as a vehicle for improving educational measurement applications in a variety of settings.