This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Van den Noortgate, W. Articles by Meulders, M. Search for Related Content Social Bookmarking                         What's this?

Cross-Classification Multilevel Logistic Models in Psychometrics

Katholieke Universiteit Leuven

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.

Key Words: crossed random effects • item response theory • logistic mixed models • multilevel models

Journal of Educational and Behavioral Statistics, Vol. 28, No. 4, 369-386 (2003)
DOI: 10.3102/10769986028004369


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This article has been cited by other articles:

				W.-C. Wang and C.-Y. Liu Formulation and Application of the Generalized Multilevel Facets Model Educational and Psychological Measurement, August 1, 2007; 67(4): 583 - 605. [Abstract] [PDF]

				W. Van den Noortgate and P. De Boeck Assessing and Explaining Differential Item Functioning Using Logistic Mixed Models Journal of Educational and Behavioral Statistics, January 1, 2005; 30(4): 443 - 464. [Abstract] [PDF]