@inbook{f2f236384454425ab98e10a5a13a4905,

title = "Multilevel IRT Model Assessment",

abstract = "Modelling complex cognitive and psychological outcomes in, for example, educational assessment led to the development of generalized item response theory (IRT) models. A class of models was developed to solve practical and challenging educational problems by generalizing the basic IRT models. An IRT model can be used to define a relation between observed categorical responses and an underlying latent trait, such as, ability or attitude. Subsequently, the latent trait variable can be seen as the outcome in a regression analysis. That is, a regression model defines the relation between the latent trait and the set of predictors. The combination of both models, a regression model imposed on the ability parameter in an IRT model, can be viewed as an extension to the class of IRT models.",

keywords = "IR-59657",

author = "Fox, {Gerardus J.A.}",

year = "2005",

language = "Undefined",

isbn = "9780805847284",

publisher = "Lawrence Erlbaum",

pages = "227--252",

editor = "Ark, {L. Andries} and Croon, {Marcel A.}",

booktitle = "New developments in categorical data analysis for the social and behavioral sciences",

}