BMIRT

Author: Lihua Yao
Contact: http://www.bmirt.com/6271.html
Description: BMIRTII(Yao, 2003, 2010), Bayesian Multivariate item Response Theory, is a computer program that uses Markov chain Monte Carlo (MCMC) Metropolics-Hastings method to produce item and ability parameter estimates and model fit statistics such as AIC, BIC, DIC, in multidimensional, multi-group item response theory model frame work; exploratory and confirmatory mode are supported; it supports three-parameter logistic model, generalized two-parameter partial-credit model, graded response model, higher-order model, testlet model, and rater model.
Analyses: DIF
System Requirements: Windows
Measurement Model: IRT/Rasch
License Type: Freeware
Documentation:

Software License
Freeware
Measurement Model
Item Response Theory; Rasch
Analysis
Differential Item Functioning