Loglinear multidimensional IRT models for polytomously scored items

A typology of polytomously scored mathematics items disclosed by the Rasch model: implications for constructing a continuum of achievement

The test materials and data on which this study is based were drawn from the 1992 and 1996 mathematics testing programs conducted by the Education Department of Western Australia as part of the Monitoring Standards in Education project. The work for the Report was supported in part by an Australian Research Council grant with the Australian National Ministerial Council on Employment, Education,...

Item Bias Detection Using Loglinear Irt

A method is proposed for the detection of item bias with respect to observed or unobserved subgroups. The method uses quasi-loglinear models for the incomplete subgroup x test score x Item 1 × • • • x item k contingency table. If subgroup membership is unknown the models are Haberman's incomplete-latent-class models. The (conditional) Rasch model is formulated as a quasi-loglinear model. The pa...

The Added Value of Multidimensional IRT Models

Loglinear and multidimensional scaling models of digital library navigation

Computer transaction log analysis comprises the modeling of patterns of machine–user transactions. Due to the web-like structure of the Internet, Interactions can be represented in a three-dimensional, origin–destination–time flow/transaction matrix. Loglinear models are used to model these transactions in terms of their time, origin and destination components and to detect the signature and st...

Bayesian Multidimensional IRT Models With a Hierarchical Structure

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