Asymptotic standard errors of IRT observed-score equating methods

Asymptotic standard errors of IRT observed-score equating methods
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DOI:
10.1007/bf02294797
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发表时间:
2003-06-01
期刊:
影响因子:
3
通讯作者:
Ogasawara, H
Ogasawara, H
中科院分区:
心理学4区
文献类型:
--
作者:
Ogasawara, H

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在三参数逻辑斯蒂模型假设下,提出了一种不设等值系数,通过第三次检验进行链式等值的IRT测验分数等值方法。利用M。Liou和P.E.程本文还给出了目前常用的一种用等值系数合成被试组的IRT分数等值方法的渐近标准误。数值算例表明,除低分值范围外,这两种分值等值方法的标准误与相应的真分值等值方法的标准误相似。
A method of the IRT observed-score equating using chain equating through a third test without equating coefficients is presented with the assumption of the three-parameter logistic model. The asymptotic standard errors of the equated scores by this method are obtained using the results given by M. Liou and P.E. Cheng. The asymptotic standard errors of the IRT observed-score equating method using a synthetic examinee group with equating coefficients, which is a currently used method, are also provided. Numerical examples show that the standard errors by these observed-score equating methods are similar to those by the corresponding true score equating methods except in the range of low scores.