@article {2351,
	title = {Cognitive Diagnostic Models and Computerized  Adaptive Testing: Two New Item-Selection Methods That Incorporate Response Times},
	journal = {Journal of Computerized Adaptive Testing},
	volume = {2},
	year = {2014},
	pages = {59-76},
	doi = {10.7333/1412-0204059},
	url = {http://www.iacat.org/jcat/index.php/jcat/article/view/43/21},
	author = {Finkelman, M. D. and Kim, W. and Weissman, A. and Cook, R.J.}
}
@article {2287,
	title = {A Comparison of Computerized Classification Testing and Computerized Adaptive Testing in Clinical Psychology},
	journal = {Journal of Computerized Adaptive Testing},
	volume = {1},
	year = {2013},
	pages = {19-37},
	doi = {10.7333/1302-0102019},
	author = {Smits, N. and Finkelman, M. D.}
}
@article {2288,
	title = {Item Ordering in Stochastically Curtailed Health Questionnaires With an Observable Outcome},
	journal = {Journal of Computerized Adaptive Testing},
	volume = {1},
	year = {2013},
	pages = {38-66},
	doi = {10.7333/1304-0103038},
	author = {Finkelman, M. D. and Kim, W. and He, Y. and Lai, A.M.}
}
@article {2071,
	title = {Item Selection and Hypothesis Testing for the Adaptive Measurement of Change},
	journal = {Applied Psychological Measurement},
	volume = {34},
	year = {2010},
	pages = {238-254},
	abstract = {<p>Assessing individual change is an important topic in both psychological and educational measurement. An adaptive measurement of change (AMC) method had previously been shown to exhibit greater efficiency in detecting change than conventional nonadaptive methods. However, little work had been done to compare different procedures within the AMC framework. This study introduced a new item selection criterion and two new test statistics for detecting change with AMC that were specifically designed for the paradigm of hypothesis testing. In two simulation sets, the new methods for detecting significant change improved on existing procedures by demonstrating better adherence to Type I error rates and substantially better power for detecting relatively small change.\&nbsp;</p>
},
	keywords = {change, computerized adaptive testing, individual change, Kullback{\textendash}Leibler information, likelihood ratio, measuring change},
	doi = {10.1177/0146621609344844},
	author = {Finkelman, M. D. and Weiss,  D. J. and Kim-Kang, G.}
}
@article {129,
	title = {On using stochastic curtailment to shorten the SPRT in sequential mastery testing},
	journal = {Journal of Educational and Behavioral Statistics},
	volume = {33},
	number = {4},
	year = {2008},
	pages = {442},
	author = {Finkelman, M. D.}
}
