IRT studies of many groups: the alignment method

被引:207
作者
Muthen, Bengt [1 ]
Asparouhov, Tihomir [1 ]
机构
[1] Mplus, Los Angeles, CA 90066 USA
来源
FRONTIERS IN PSYCHOLOGY | 2014年 / 5卷
关键词
factor means invariance testing country comparisons; approximate invariance maximum-likelihood; Bayesian inference; invariance testing; maximum likelihood estimation;
D O I
10.3389/fpsyg.2014.00978
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Asparouhov and Muthen (2014) presented a new method for multiple-group confirmatory factor analysis (CFA), referred to as the alignment method. The alignment method can be used to estimate group-specific factor means and variances without requiring exact measurement invariance. A strength of the method is the ability to conveniently estimate models for many groups, such as with comparisons of countries. This paper focuses on IRT applications of the alignment method. An empirical investigation is made of binary knowledge items administered in two separate surveys of a set of countries. A Monte Carlo study is presented that shows how the quality of the alignment can be assessed.
引用
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页数:7
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