The IRT procedure enables you to estimate various item response theory models. The following list summarizes some of the basic features of the IRT procedure:
uses the Rasch model; one-, two-, three-, and four-parameter models; graded response model with logistic or probit link; and generalized partial credit model
enables different items to have different response models
performs multidimensional exploratory and confirmatory analysis
performs multiple-group analysis, with fixed values and equality constraints within and between groups
estimates factor scores by using maximum likelihood (ML), maximum a posteriori (MAP), and expected a posteriori (EAP) methods