@article {112,
	title = {A mixed integer programming model for multiple stage adaptive testing},
	journal = {European Journal of Operational Research},
	volume = {193},
	number = {2},
	year = {2009},
	note = {doi: DOI: 10.1016/j.ejor.2007.10.047},
	pages = {342-350},
	abstract = {The last decade has seen paper-and-pencil (P\&P) tests being replaced by computerized adaptive tests (CATs) within many testing programs. A CAT may yield several advantages relative to a conventional P\&P test. A CAT can determine the questions or test items to administer, allowing each test form to be tailored to a test taker{\textquoteright}s skill level. Subsequent items can be chosen to match the capability of the test taker. By adapting to a test taker{\textquoteright}s ability, a CAT can acquire more information about a test taker while administering fewer items. A Multiple Stage Adaptive test (MST) provides a means to implement a CAT that allows review before the administration. The MST format is a hybrid between the conventional P\&P and CAT formats. This paper presents mixed integer programming models for MST assembly problems. Computational results with commercial optimization software will be given and advantages of the models evaluated.},
	keywords = {Education, Integer programming, Linear programming},
	isbn = {0377-2217},
	author = {Edmonds, J. and Armstrong, R. D.}
}
@conference {830,
	title = {A study of multiple stage adaptive test designs},
	booktitle = {Paper presented at the annual meeting of the National Council on Measurement in Education},
	year = {2004},
	note = {{PDF file, 288 KB}},
	address = {San Diego CA},
	author = {Armstrong, R. D. and Edmonds, J.}
}
