FINITE MIXTURE MULTILEVEL MULTIDIMENSIONAL ORDINAL IRT MODELS FOR LARGE SCALE CROSS-CULTURAL RESEARCH

被引:25
|
作者
de Jong, Martijn G. [1 ]
Steenkamp, Jan-Benedict E. M. [2 ]
机构
[1] RSM Erasmus Univ, Dept Mkt Management, NL-3062 PA Rotterdam, Netherlands
[2] Univ N Carolina, Chapel Hill, NC 27515 USA
关键词
measurement equivalence; measurement invariance; mixture modeling; latent classes; differential item functioning; item response theory; hierarchical item response theory theory; multidimensional IRT; graded responses model; cross-cultural research; ITEM RESPONSE THEORY; CONFIRMATORY FACTOR-ANALYSIS; STRUCTURAL EQUATION MODELS; MEASUREMENT INVARIANCE; BAYESIAN-INFERENCE; PERSONALITY; TRAITS;
D O I
10.1007/s11336-009-9134-z
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We present a class of finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research. Our model is proposed for confirmatory research settings. Our prior for item parameters is a mixture distribution to accomodate situations where different groups of countries have different measurement operations, while countries within these groups are still allowed to be heterogeneous. A simulation study is conducted that shows that all parameters can be recovered. We also apply the model to real data on the two components of affective subjective well-being: positive affect and negative affect. The psychometric behaviour of these two scales is studied in 28 countries across four continents.
引用
收藏
页码:3 / 32
页数:30
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