@article {379,
	title = {Small sample estimation in dichotomous item response models: Effect of priors based on judgmental information on the accuracy of item parameter estimates},
	journal = {Applied Psychological Measurement},
	volume = {27},
	number = {1},
	year = {2003},
	note = {Sage Publications, US},
	pages = {27-51},
	abstract = {Large item banks with properly calibrated test items are essential for ensuring the validity of computer-based tests. At the same time, item calibrations with small samples are desirable to minimize the amount of pretesting and limit item exposure. Bayesian estimation procedures show considerable promise with small examinee samples. The purposes of the study were (a) to examine how prior information for Bayesian item parameter estimation can be specified and (b) to investigate the relationship between sample size and the specification of prior information on the accuracy of item parameter estimates. The results of the simulation study were clear: Estimation of item response theory (IRT) model item parameters can be improved considerably. Improvements in the one-parameter model were modest; considerable improvements with the two- and three-parameter models were observed. Both the study of different forms of priors and ways to improve the judgmental data used in forming the priors appear to be promising directions for future research. },
	author = {Swaminathan, H. and Hambleton, R. K. and Sireci, S. G. and Xing, D. and Rizavi, S. M.}
}
@inbook {362,
	title = {Practical issues in setting standards on computerized adaptive tests},
	booktitle = {Setting performance standards: Concepts, methods, and perspectives},
	year = {2001},
	note = {Using Smart Source ParsingSetting performance standards: Concepts, methods, and perspectives. (pp. 355-369). Mahwah, NJ : Lawrence Erlbaum Associates, Publishers. xiii, 510 pp},
	pages = {355-369},
	publisher = {Lawrence Erlbaum Associates, Inc.},
	organization = {Lawrence Erlbaum Associates, Inc.},
	address = {Mahwah, N.J. USA},
	abstract = {(From the chapter) Examples of setting standards on computerized adaptive tests (CATs) are hard to find. Some examples of CATs involving performance standards include the registered nurse exam and the Novell systems engineer exam. Although CATs do not require separate standard setting-methods, there are special issues to be addressed by test specialist who set performance standards on CATs. Setting standards on a CAT will typical require modifications on the procedures used with more traditional, fixed-form, paper-and -pencil examinations. The purpose of this chapter is to illustrate why CATs pose special challenges to the standard setter. (PsycINFO Database Record (c) 2005 APA )},
	keywords = {Adaptive Testing, Computer Assisted Testing, Performance Tests, Testing Methods},
	author = {Sireci, S. G. and Clauser, B. E.}
}
@article {576,
	title = {Validity issues in computer-based testing},
	journal = {Educational Measurement: Issues and Practice},
	volume = {20(3)},
	year = {2001},
	pages = {16-25},
	author = {Huff, K. L. and Sireci, S. G.}
}
@article {703,
	title = {On the reliability of testlet-based tests},
	journal = {Journal of Educational Measurement},
	volume = {28},
	year = {1991},
	pages = {237-247},
	author = {Sireci, S. G. and Wainer, H., and Thissen, D.}
}
