Continuation Ratio Model in Item Response Theory and Selection of Models for Polytomous Items

被引:1
|
作者
Kim, Seock-Ho [1 ]
机构
[1] Univ Georgia, Dept Educ Psychol, 325 Aderhold Hall, Athens, GA 30602 USA
来源
关键词
Bayesian estimation; Continuation ratio model; Item response theory; Maximum likelihood estimation; Multicategory logit model; Polytomous model; EM ALGORITHM; PARAMETERS; ABILITY;
D O I
10.1007/978-3-319-38759-8_1
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In the continuation ratio model continuation ratio logits are used to model the probabilities of obtaining ordered categories in polytomously scored items. The continuation ratio model is an alternative to other models for ordered category items such as the graded response model, the generalized partial credit model, and the partial credit model. The theoretical development of the model, descriptions of special cases, maximum likelihood estimation of the item and ability parameters are presented. An illustration and comparisons of the models for ordered category items are presented using empirical data.
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页码:1 / 13
页数:13
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