MLCIRTwithin
Author: Francesco Bartolucci, Silvia Bacci
Contact: https://cran.r-project.org/web/packages/MLCIRTwithin/index.html
Description: MLCIRTwithin: Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality. Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parametrizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version together with possibility of constraints on all model parameters.
Analyses: Factor/Latent Structure; Multidimensional Models; Person Fit/Cheating; Simulation/Resampling
System Requirements: Windows, Mac OS, & Linux
Measurement Model: IRT/Rasch
License Type: Open-Source (R)
Documentation: user manual, sample datasets
