项目反应理论参数估计抽样方差在常见项目方程异常值检测中的应用。

IF 1 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Chunyan Liu, Daniel Jurich
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引用次数: 0

摘要

在普通题项等值中,题项异常值的存在会影响等值结果的准确性,并对考试成绩解释的效度产生重大影响。因此,公共项目相等应该包括一个筛选过程,以标记外围项目,并在进行相等之前将它们从公共项目集中排除。模拟研究表明,在2-PL和3-PL IRT模型下,与项目反应理论(IRT)项目参数估计相关的抽样方差可以帮助检测常见项目的异常值。结果表明,在多种评价标准下,所提出的抽样方差统计量(SV)均优于传统的位移法,其截止值分别为0.3和0.5。在良好的结果基础上,基于估计抽样变异性的项目异常点检测统计在研究和实践中都值得进一步考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Sampling Variance of Item Response Theory Parameter Estimates in Detecting Outliers in Common Item Equating.

In common item equating, the existence of item outliers may impact the accuracy of equating results and bring significant ramifications to the validity of test score interpretations. Therefore, common item equating should involve a screening process to flag outlying items and exclude them from the common item set before equating is conducted. The current simulation study demonstrated that the sampling variance associated with the item response theory (IRT) item parameter estimates can help detect outliers in the common items under the 2-PL and 3-PL IRT models. The results showed the proposed sampling variance statistic (SV) outperformed the traditional displacement method with cutoff values of 0.3 and 0.5 along a variety of evaluation criteria. Based on the favorable results, item outlier detection statistics based on estimated sampling variability warrant further consideration in both research and practice.

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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
50
期刊介绍: Applied Psychological Measurement publishes empirical research on the application of techniques of psychological measurement to substantive problems in all areas of psychology and related disciplines.
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