| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | 72.1KB PDF | Date added | 09 Mar 2005 |
| Topics | Knowledge and Data Management, Data Mining - Analysis | ||
| Downloads | 608 | ||
Psychometrics has recently seen the development of complex measurement models to better represent test and item data. Item Response Theory (IRT), in particular, comprises a set of non-linear latent variable models that appear to have several conceptual and empirical properties that make them more valuable in practice than classical test theory methods. However, IRT-based models typically require the availability of costly and computationally-intensive software for estimating parameters and assessing model fit. This paper presents a set of SAS Macros called IRT-FIT, which uses SAS /IML and SAS/GRAPH to estimate, fit, and graph two- and three-parameter IRT models to binary test data.
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