ITEM METADATA RECORD
Title: A nonlinear mixed model framework for item response theory
Authors: Rijmen, Frank ×
Tuerlinckx, Francis
De Boeck, Paul
Kuppens, Peter #
Issue Date: Jun-2003
Publisher: Amer psychological assoc
Series Title: Psychological Methods vol:8 issue:2 pages:185-205
Abstract: Mixed models take the dependency between observations based on the same cluster into account by introducing 1 or more random effects. Common item response theory (IRT) models introduce latent person variables to model the dependence between responses of the same participant. Assuming a distribution for the latent variables, these IRT models are formally equivalent with nonlinear mixed models. It is shown how a variety of IRT models can be formulated as particular instances of nonlinear mixed models. The unifying framework offers the advantage that relations between different IRT models become explicit and that it is rather straightforward to see how existing IRT models can be adapted and extended. The approach is illustrated with a self-report study on anger.
URI: 
ISSN: 1082-989X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Onderzoeksgroep hogere cognitie en individuele verschillen (-)
Quantitative Psychology and Individual Differences
× corresponding author
# (joint) last author

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