Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Yanyan Sheng
Title: Bayesian Estimation of MIRT Models with General and Specific Latent Traits in MATLAB
Abstract: 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.

Page views:: 4302. Submitted: 2009-10-30. Published: 2010-04-05.
Paper: Bayesian Estimation of MIRT Models with General and Specific Latent Traits in MATLAB     Download PDF (Downloads: 4427)
Supplements:
IRTm2noHA.zip: MATLAB source package Download (Downloads: 798; 8KB)
v34i03.m: MATLAB code for replication of examples Download (Downloads: 970; 12KB)
english.dat: Example data in ASCII format Download (Downloads: 848; 103KB)
item.mat: Example MAT file Download (Downloads: 849; 1KB)

DOI: 10.18637/jss.v034.i03

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.