The Multidimensional Item-Component Rasch-Model (MultiRa) is a probabilistic test model. It assumes that responses of a test or questionnaire can be explained by several latent traits. In this sense it is a probabilistic alternative to factor analysis. MULTIRA v1.65 (by C. H. Carstensen and J. Rost) is a Computerprogramm that implements an algorithm for the multidimensional item component Rasch model and other Rasch models. Actually, the progam includes: Person and Itemparameter estimates according to the MultiRa-Model; Joint maximum Likelihood and conditional Maximum Likelihood Estimation; Modelfit measures including; Martin Loef Test on Item Homogeneity; Residual Mean Square Item Fit; Bootstrap GoF; MKAT Algorithm by J. Rost for Raschs multidimensional Model (1961)
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Bartolucci, Francesco: A class of multidimensional IRT models for testing unidimensionality and clustering items (2007)
- Christensen, Karl Bang; Bjorner, Jakob Bue; Kreiner, Svend; Petersen, Jørgen Holm: Testing unidimensionality in polytomous Rasch models (2002)