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A Taxonomy of Item Response Models
Psychometrika, 1986 A number of models for categorical item response data have been proposed in recent years. The models appear to be quite different. However, they may usefully be organized as members of only three distinct classes, within which the models are distinguished only by assumptions and constraints on their parameters.
Thissen, David, Steinberg, Lynne
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On the Complexity of Item Response Theory Models
Multivariate Behavioral Research, 2017Complexity in item response theory (IRT) has traditionally been quantified by simply counting the number of freely estimated parameters in the model. However, complexity is also contingent upon the functional form of the model. We examined four popular IRT models-exploratory factor analytic, bifactor, DINA, and DINO-with different functional forms but ...
Wes, Bonifay, Li, Cai
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An Item Response Model with Internal Restrictions on Item Difficulty
Psychometrika, 1998 An IRT model based on the Rasch model is proposed for composite tasks, that is, tasks that are decomposed into subtasks of different kinds. There is one subtask for each component that is discerned in the composite tasks. A component is a generic kind of subtask of which the subtasks resulting from the decomposition are specific instantiations with ...
Butter, R., de Boeck, P., Verhelst, N.D.
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Polytomous Item Response Theory Models
, 2006 Polytomous Item Response Theory Models provides a unified, comprehensive introduction to the range of polytomous models available within item response theory (IRT). It begins by outlining the primary structural distinction between the two major types of polytomous IRT models.
Ostini, Remo, Nering, Michael
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