@article {2040,
	title = {Computer adaptive testing for small scale programs and instructional systems},
	journal = {Journal of Applied Testing Technology},
	volume = {12},
	year = {2011},
	abstract = {<p>This study investigates measurement decision theory (MDT) as an underlying model for computer adaptive testing when the goal is to classify examinees into one of a finite number of groups. The first analysis compares MDT with a popular item response theory model and finds little difference in terms of the percentage of correct classifications. The second analysis examines the number of examinees needed to calibrate MDT item parameters and finds accurate classifications even with calibration sample sizes as small as 100 examinees.</p>
},
	author = {Rudner, L. M. and Guo, F.}
}
@article {689,
	title = {Computer testing: Pragmatic issues and research needs},
	journal = {Educational Measurement: Issues and Practice},
	volume = {9 (2)},
	year = {1990},
	note = {Sum 1990.},
	pages = {19-20},
	author = {Rudner, L. M.}
}
@booklet {1391,
	title = {Computerized adaptive tests},
	year = {1989},
	address = {ERIC Clearinghouse on Tests, Measurement, and Evaluation, no. 107},
	author = {Grist, S. and Rudner, L. M. and Wise}
}
