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Alexander Robitzsch
Item response theory (IRT) models are frequently used to analyze multivariate categorical data from questionnaires or cognitive test data. In order to reduce the model complexity in item response models, regularized estimation is now widely applied, addi...
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Alexander Robitzsch
Structural equation models (SEM) are widely used in the social sciences. They model the relationships between latent variables in structural models, while defining the latent variables by observed variables in measurement models. Frequently, it is of int...
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Alexander Robitzsch
The mixture Rasch model is a popular mixture model for analyzing multivariate binary data. The drawback of this model is that the number of estimated parameters substantially increases with an increasing number of latent classes, which, in turn, hinders ...
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Alena Kajanová, Tomá? Urbánek, Tomá? Mrhálek, Stanislav Ondrá?ek, Olga Shivairová and Jan Hynek
The objective of the article is to present an item analysis of selected subtests of the Czech version of the WJ IV COG battery from a group of Romani children, ages 7?11. The research sample consisted of 400 school-aged Romani children from the Czech Rep...
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