Bayesian Estimation of MIRT Models with General and Specific Latent Traits in MATLAB. Multidimensional item response models have been developed to incorporate a general trait and several specific trait dimensions. Depending on the structure of these latent traits, different models can be considered. This paper provides the requisite information and description of software that implement the Gibbs sampling procedures for three such models with a normal ogive form. The software developed is written in the MATLAB package IRTm2noHA. The package is flexible enough to allow a user the choice to simulate binary response data with a latent structure involving general and specific traits, specify prior distributions for model parameters, check convergence of the MCMC chain, and obtain Bayesian fit statistics. Illustrative examples are provided to demonstrate and validate the use of the software package.
Keywords for this software
References in zbMATH (referenced in 2 articles , 1 standard article )
Showing results 1 to 2 of 2.
- Sheng, Yanyan; Headrick, Todd C.: A Gibbs sampler for the multidimensional item response model (2012)
- Yanyan Sheng: Bayesian Estimation of MIRT Models with General and Specific Latent Traits in MATLAB (2010) not zbMATH