The IRT Procedure (Experimental)
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:
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uses the Rasch model; one-, two-, three-, and four-parameter models; and graded response model with logistic or probit link
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enables different items to have different response models
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performs multidimensional exploratory and confirmatory analysis
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performs multiple-group analysis, with fixed values and equality constraints within and between groups
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estimates factor scores by using maximum likelihood (ML), maximum a posteriori (MAP), and expected a posteriori (EAP) methods