@article {2354,
	title = {On-the-Fly Assembled Multistage Adaptive Testing},
	journal = {Applied Psychological Measurement},
	volume = {39},
	number = {2},
	year = {2015},
	pages = {104-118},
	abstract = {<p>
	Recently, multistage testing (MST) has been adopted by several important large-scale testing programs and become popular among practitioners and researchers. Stemming from the decades of history of computerized adaptive testing (CAT), the rapidly growing MST alleviates several major problems of earlier CAT applications. Nevertheless, MST is only one among all possible solutions to these problems. This article presents a new adaptive testing design, \&ldquo;on-the-fly assembled multistage adaptive testing\&rdquo; (OMST), which combines the benefits of CAT and MST and offsets their limitations. Moreover, OMST also provides some unique advantages over both CAT and MST. A simulation study was conducted to compare OMST with MST and CAT, and the results demonstrated the promising features of OMST. Finally, the \&ldquo;Discussion\&rdquo; section provides suggestions on possible future adaptive testing designs based on the OMST framework, which could provide great flexibility for adaptive tests in the digital future and open an avenue for all types of hybrid designs based on the different needs of specific tests.</p>
},
	doi = {10.1177/0146621614544519},
	url = {http://apm.sagepub.com/content/39/2/104.abstract},
	author = {Zheng, Yi and Chang, Hua-Hua}
}
@inbook {1942,
	title = {Obtaining reliable diagnostic information through constrained CAT},
	year = {2009},
	note = {{PDF File, 252 KB}},
	address = {D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.},
	author = {Wang, C. and Chang, Hua-Hua and Douglas, J.}
}
@article {57,
	title = {Optimal stratification of item pools in α-stratified computerized adaptive testing},
	journal = {Applied Psychological Measurement},
	volume = {27},
	number = {4},
	year = {2003},
	pages = {262-274},
	abstract = {A method based on 0-1 linear programming (LP) is presented to stratify an item pool optimally for use in α-stratified adaptive testing. Because the 0-1 LP model belongs to the subclass of models with a network flow structure, efficient solutions are possible. The method is applied to a previous item pool from the computerized adaptive testing (CAT) version of the Graduate Record Exams (GRE) Quantitative Test. The results indicate that the new method performs well in practical situations. It improves item exposure control, reduces the mean squared error in the θ estimates, and increases test reliability. (PsycINFO Database Record (c) 2005 APA ) (journal abstract)},
	keywords = {Adaptive Testing, Computer Assisted Testing, Item Content (Test), Item Response Theory, Mathematical Modeling, Test Construction computerized adaptive testing},
	author = {Chang, Hua-Hua and van der Linden, W. J.}
}
@conference {1259,
	title = {Optimum number of strata in the a-stratified adaptive testing design},
	booktitle = {Paper presented at the annual meeting of the American Educational Research Association},
	year = {2002},
	note = {{PDF file, 114 KB}},
	address = {New Orleans LA},
	author = {Wen, J.-B. and Chang, Hua-Hua and Hau, K-T.}
}
