@article {409,
	title = {An integer programming approach to item bank design},
	journal = {Applied Psychological Measurement},
	volume = {24},
	number = {2},
	year = {2000},
	pages = {139-150},
	abstract = {An integer programming approach to item bank design is presented that can be used to calculate an optimal blueprint for an item bank, in order to support an existing testing program. The results are optimal in that they minimize the effort involved in producing the items as revealed by current item writing patterns. Also presented is an adaptation of the models, which can be used as a set of monitoring tools in item bank management. The approach is demonstrated empirically for an item bank that was designed for the Law School Admission Test. },
	keywords = {Aptitude Measures, Item Analysis (Test), Item Response Theory, Test Construction, Test Items},
	author = {van der Linden, W. J. and Veldkamp, B. P. and Reese, L. M.}
}
@booklet {1597,
	title = {A comparison of testlet-based test designs for computerized adaptive testing (LSAC Computerized Testing Report 97-01)},
	year = {1999},
	address = {Newtown, PA: LSAC.},
	author = {Schnipke, D. L. and Reese, L. M.}
}
@article {327,
	title = {Incorporating content constraints into a multi-stage adaptive testlet design.},
	number = {BBB16784},
	year = {1999},
	institution = {Law School Admission Council},
	address = {Princeton, NJ. USA},
	abstract = {Most large-scale testing programs facing computerized adaptive testing (CAT) must face the challenge of maintaining extensive content requirements, but content constraints in computerized adaptive testing (CAT) can compromise the precision and efficiency that could be achieved by a pure maximum information adaptive testing algorithm. This simulation study first evaluated whether realistic content constraints could be met by carefully assembling testlets and appropriately selecting testlets for each test taker that, when combined, would meet the content requirements of the test and would be adapted to the test takers ability level. The second focus of the study was to compare the precision of the content-balanced testlet design with that achieved by the current paper-and-pencil version of the test through data simulation. The results reveal that constraints to control for item exposure, testlet overlap, and efficient pool utilization need to be incorporated into the testlet assembly algorithm. More refinement of the statistical constraints for testlet assembly is also necessary. However, even for this preliminary attempt at assembling content-balanced testlets, the two-stage computerized test simulated with these testlets performed quite well. (Contains 5 figures, 5 tables, and 12 references.) (Author/SLD)},
	isbn = {Series},
	author = {Reese, L. M. and Schnipke, D. L. and Luebke, S. W.}
}
@article {405,
	title = {A model for optimal constrained adaptive testing},
	journal = {Applied Psychological Measurement},
	volume = {22},
	number = {3},
	year = {1998},
	note = {Sage Publications, US},
	pages = {259-270},
	abstract = {A model for constrained computerized adaptive testing is proposed in which the information in the test at the trait level (0) estimate is maximized subject to a number of possible constraints on the content of the test. At each item-selection step, a full test is assembled to have maximum information at the current 0 estimate, fixing the items already administered. Then the item with maximum in-formation is selected. All test assembly is optimal because a linear programming (LP) model is used that automatically updates to allow for the attributes of the items already administered and the new value of the 0 estimator. The LP model also guarantees that each adaptive test always meets the entire set of constraints. A simulation study using a bank of 753 items from the Law School Admission Test showed that the 0 estimator for adaptive tests of realistic lengths did not suffer any loss of efficiency from the presence of 433 constraints on the item selection process. },
	keywords = {computerized adaptive testing},
	author = {van der Linden, W. J. and Reese, L. M.}
}
@conference {1143,
	title = {A comparison of testlet-based test designs for computerized adaptive testing},
	booktitle = {Paper presented at the meeting of American Educational Research Association},
	year = {1997},
	address = {Chicago, IL},
	author = {Schnipke, D. L. and Reese, L. M.}
}
@booklet {1504,
	title = {Incorporating content constraints into a multi-stage adaptive testlet design: LSAC report},
	year = {1997},
	address = {Newtown, PA: Law School Admission Council},
	author = {Reese, L. M. and Schnipke, D. L. and Luebke, S. W.}
}
@conference {1116,
	title = {An evaluation of a two-stage testlet design for computerized adaptive testing},
	booktitle = {Paper presented at the annual meeting of the Psychometric Society},
	year = {1996},
	address = {Banff, Alberta, Canada},
	author = {Reese, L. M. and Schnipke, D. L.}
}
