Comparison of Scale Identification Methods in Mixture IRT Models

被引：3

作者：

Choi, Youn-Jeng ^{[1
]}

Cohen, Allan S. ^{[2
]}

机构：

[1] Univ Alabama, Tuscaloosa, AL 35487 USA

[2] Univ Georgia, Athens, GA 30602 USA

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2019年 / 18卷 / 01期

关键词：

Item response theory; mixture models; scale identification; MCMC; Bayesian estimation; ITEM; DIMENSION;

D O I：

10.22237/jmasm/1556669700

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The effects of three scale identification constraints in mixture IRT models were studied. A simulation study found no constraint effect on the mixture Rasch and mixture 2PL models, but the item anchoring constraint was the only one that worked well on selecting correct model with the mixture 3PL model.

引用

页码：1 / 26

页数：25

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