@article {545,
	title = {A conditional exposure control method for multidimensional adaptive testing},
	journal = {Journal of Educational Measurement},
	volume = {46},
	year = {2009},
	pages = {84-103},
	author = {Finkelman, M. and Nering, M. L. and Roussos, L. A.}
}
@inbook {1766,
	title = {Item selection and hypothesis testing for the adaptive measurement of change},
	year = {2009},
	note = {{PDF File, 228 KB}},
	address = {D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.},
	author = {Finkelman, M. and Weiss,  D. J. and Kim-Kang, G.}
}
@article {19,
	title = {Modern sequential analysis and its application to computerized adaptive testing},
	journal = {Psychometrika},
	volume = {73},
	number = {3},
	year = {2008},
	pages = {473-486},
	abstract = {After a brief review of recent advances in sequential analysis involving sequential generalized likelihood ratio tests, we discuss their use in psychometric testing and extend the asymptotic optimality theory of these sequential tests to the case of sequentially generated experiments, of particular interest in computerized adaptive testing.We then show how these methods can be used to design adaptive mastery tests, which are asymptotically optimal and are also shown to provide substantial improvements over currently used sequential and fixed length tests.},
	author = {Bartroff, J. and Finkelman, M. and Lai, T. L.}
}
@article {128,
	title = {The Wald{\textendash}Wolfowitz Theorem Is Violated in Sequential Mastery Testing},
	journal = {Sequential Analysis},
	volume = {27},
	number = {3},
	year = {2008},
	pages = {293-303},
	author = {Finkelman, M.}
}
@booklet {127,
	title = {An adaptation of stochastic curtailment to truncate Wald{\textquoteright}s SPRT in computerized adaptive testing},
	number = {CSE Report 606},
	year = {2003},
	month = {Steptember, 2003},
	pages = {1-26},
	publisher = {National Center for Research on Evaluation, Standards, and Student Testing},
	address = {Los Angeles},
	abstract = {<p>Computerized adaptive testing (CAT) has been shown to increase e\&AElig;ciency in educational measurement. One common application of CAT is to classify students as either pro cient or not proficient in ability. A truncated form of Wald\&$\#$39;s sequential probability ratio test (SPRT), in which examination is halted after a prespeci ed number of questions, has been proposed to provide a diagnosis of prociency. This article studies the further truncation provided by stochastic curtailment, where an exam is stopped early if completion of the remaining questions would be unlikely to alter the classi cation of the examinee. In a simulation study presented, the increased truncation is shown to offer substantial improvement in test length with only a slight decrease in accuracy.</p>
},
	author = {Finkelman, M.}
}
