@article {354,
	title = {An item response model for characterizing test compromise},
	journal = {Journal of Educational and Behavioral Statistics},
	volume = {27},
	number = {2},
	year = {2002},
	note = {References .American Educational Research Assn, US},
	pages = {163-179},
	abstract = {This article presents an item response model for characterizing test-compromise that enables the estimation of item-preview and score-gain distributions observed in on-demand high-stakes testing programs. Model parameters and posterior distributions are estimated by Markov Chain Monte Carlo (MCMC) procedures. Results of a simulation study suggest that when at least some of the items taken by a small sample of test takers are known to be secure (uncompromised), the procedure can provide useful summaries of test-compromise and its impact on test scores. The article includes discussions of operational use of the proposed procedure, possible model violations and extensions, and application to computerized adaptive testing. },
	keywords = {computerized adaptive testing},
	author = {Segall, D. O.}
}
