IRTFIT: A Macro for Item Fit and Local Dependence Tests Under IRT Models. This SAS macro will produce a variety of indices for testing the fit of item response theory (IRT) models to dichotomous and polytomous item response data. The macro does not perform estimation of item parameters, but requires that the item parameters have been estimated in IRT model software programs (e.g., MULTILOG, PARSCALE, BILOG, OPLM, WINSTEPS).
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Christensen, Karl Bang: Conditional maximum likelihood estimation in polytomous Rasch models using SAS (2013)
- Seung Choi; Laura Gibbons; Paul Crane: lordif: An R Package for Detecting Differential Item Functioning Using Iterative Hybrid Ordinal Logistic Regression/Item Response Theory and Monte Carlo Simulations (2011) not zbMATH