2000
DOI: 10.2307/1165207
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A Hierarchical IRT Model for Criterion-Referenced Measurement

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Cited by 46 publications
(62 citation statements)
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“…This would yield a crossed random effects design (see e.g., Gonzalez, De Boeck, & Tuerlinckx, 2008;Janssen, Tuerlinckx, Meulders, & De Boeck, 2000;Rouder et al, 2007;see Vandekerckhove, Verheyen, & Tuerlinckx, 2010, for an HDM application). Similarly, conditions or items could be nested in categories that are in turn nested in larger categories.…”
Section: Model Building Blocksmentioning
confidence: 99%
“…This would yield a crossed random effects design (see e.g., Gonzalez, De Boeck, & Tuerlinckx, 2008;Janssen, Tuerlinckx, Meulders, & De Boeck, 2000;Rouder et al, 2007;see Vandekerckhove, Verheyen, & Tuerlinckx, 2010, for an HDM application). Similarly, conditions or items could be nested in categories that are in turn nested in larger categories.…”
Section: Model Building Blocksmentioning
confidence: 99%
“…Sometimes items can be computer-generated ''on the fly'' from an item model or item family. The item parameters are then not known for the purpose of scoring, but a model with random item parameters can be used (Janssen et al, 2000;Sinharay et al, 2003;Johnson and Sinharay, 2005;Glas and van der Linden, 2003) in which the distribution of the item parameters for the item family has been estimated. In addition, if the model includes item covariates as in explanatory item response models (De Boeck and Wilson, 2004), it is natural to allow for a random residual in the ''item regression '' (De Boeck, 2008;Janssen et al, 2004).…”
Section: Item Response Models With Random Item Parametersmentioning
confidence: 99%
“…Other IRT software is also available, but it would lead us too far afield to give an overview, and high dimensionality is also a problem for those programs. We do not dwell on Bayesian methods (e.g., Beguin & Glas, 2001;Janssen, Tuerlinckx, Meulders, & De Boeck, 2000), because they are not broadly accessible to researchers in psychology and because for high dimensionalities they require a large sample size.…”
Section: Extensionsmentioning
confidence: 99%