@article{JSSv036c01, title={BUGS Code for Item Response Theory}, volume={36}, url={https://www.jstatsoft.org/index.php/jss/article/view/v036c01}, doi={10.18637/jss.v036.c01}, abstract={I present BUGS code to fit common models from item response theory (IRT), such as the two parameter logistic model, three parameter logisitic model, graded response model, generalized partial credit model, testlet model, and generalized testlet models. I demonstrate how the code in this article can easily be extended to fit more complicated IRT models, when the data at hand require a more sophisticated approach. Specifically, I describe modifications to the BUGS code that accommodate longitudinal item response data. }, number={1}, journal={Journal of Statistical Software, Code Snippets}, author={Curtis, S. McKay}, year={2010}, pages={1–34} }