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ERIC Number: EJ782488
Record Type: Journal
Publication Date: 2003
Pages: 18
Abstractor: Author
ISSN: ISSN-1076-9986
Cross-Classification Multilevel Logistic Models in Psychometrics
Van den Noortgate, Wim; De Boeck, Paul; Meulders, Michel
Journal of Educational and Behavioral Statistics, v28 n4 p369-386 2003
In IRT models, responses are explained on the basis of person and item effects. Person effects are usually defined as a random sample from a population distribution. Regular IRT models therefore can be formulated as multilevel models, including a within-person part and a between-person part. In a similar way, the effects of the items can be studied as random parameters, yielding multilevel models with a within-item part and a between-item part. The combination of a multilevel model with random person effects and one with random item effects leads to a cross-classification multilevel model, which can be of interest for IRT applications. The use of cross-classification multilevel logistic models will be illustrated with an educational measurement application. (Contains 6 figures, 3 tables and 1 note.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A