@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.}
}
@inbook {1891,
	title = {Item pool development and evaluation},
	year = {1997},
	address = {W. A. Sands, B. K. Waters, and J. R. McBride (Eds.), Computerized adaptive testing: From inquiry to operation (pp. 117-130). Washington DC: American Psychological Association.},
	author = {Segall, D. O. and Moreno, K. E. and Hetter, D. H.}
}
@booklet {1403,
	title = {Item Calibration: Medium-of-administration effect on computerized adaptive scores (TR-93-9)},
	year = {1993},
	address = {Navy Personnel Research and Development Center},
	author = {Hetter, R. D. and Bloxom, B. M. and Segall, D. O.}
}
