@article {2737,
	title = {Efficiency of Targeted Multistage Calibration Designs Under Practical Constraints: A Simulation Study},
	journal = {Journal of Educational Measurement},
	volume = {56},
	number = {1},
	year = {2019},
	pages = {121-146},
	abstract = {Abstract Calibration of an item bank for computer adaptive testing requires substantial resources. In this study, we investigated whether the efficiency of calibration under the Rasch model could be enhanced by improving the match between item difficulty and student ability. We introduced targeted multistage calibration designs, a design type that considers ability-related background variables and performance for assigning students to suitable items. Furthermore, we investigated whether uncertainty about item difficulty could impair the assembling of efficient designs. The results indicated that targeted multistage calibration designs were more efficient than ordinary targeted designs under optimal conditions. Limited knowledge about item difficulty reduced the efficiency of one of the two investigated targeted multistage calibration designs, whereas targeted designs were more robust.},
	doi = {10.1111/jedm.12203},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/jedm.12203},
	author = {Berger, St{\'e}phanie and Verschoor, Angela J. and Eggen, Theo J. H. M. and Moser, Urs}
}
@inbook {2055,
	title = {MATHCAT: A Flexible Testing System in Mathematics Education for Adults},
	booktitle = {Elements of Adaptive Testing},
	year = {2010},
	pages = {137-150},
	chapter = {7},
	doi = {10.1007/978-0-387-85461-8},
	author = {Verschoor, Angela J. and Straetmans, G. J. J. M.}
}
@article {2208,
	title = {A multiple objective test assembly approach for exposure control problems in computerized adaptive testing},
	number = {2007-1},
	year = {2007},
	institution = {Cito},
	address = {Arnhem, The Netherlands},
	author = {Veldkamp, B. P. and Verschoor, Angela J. and Theo Eggen}
}
@article {2147,
	title = {Optimal Testing With Easy or Difficult Items in Computerized Adaptive Testing},
	journal = {Applied Psychological Measurement},
	volume = {30},
	number = {5},
	year = {2006},
	pages = {379-393},
	abstract = {<p>Computerized adaptive tests (CATs) are individualized tests that, from a measurement point of view, are optimal for each individual, possibly under some practical conditions. In the present study, it is shown that maximum information item selection in CATs using an item bank that is calibrated with the one or the two-parameter logistic model results in each individual answering about 50\% of the items correctly. Two item selection procedures giving easier (or more difficult) tests for students are presented and evaluated. Item selection on probability points of items yields good results only with the one-parameter logistic model and not with the two-parameter logistic model. An alternative selection procedure, based on maximum information at a shifted ability level, gives satisfactory results with both models. Index terms: computerized adaptive testing, item selection, item response theory</p>
},
	doi = {10.1177/0146621606288890},
	url = {http://apm.sagepub.com/content/30/5/379.abstract},
	author = {Theo Eggen and Verschoor, Angela J.}
}
@article {116,
	title = {Optimal testing with easy or difficult items in computerized adaptive testing},
	journal = {Applied Psychological Measurement},
	volume = {30},
	number = {5},
	year = {2006},
	pages = {379-393},
	publisher = {Sage Publications: US},
	abstract = {Computerized adaptive tests (CATs) are individualized tests that, from a measurement point of view, are optimal for each individual, possibly under some practical conditions. In the present study, it is shown that maximum information item selection in CATs using an item bank that is calibrated with the one- or the two-parameter logistic model results in each individual answering about 50\% of the items correctly. Two item selection procedures giving easier (or more difficult) tests for students are presented and evaluated. Item selection on probability points of items yields good results only with the one-parameter logistic model and not with the two-parameter logistic model. An alternative selection procedure, based on maximum information at a shifted ability level, gives satisfactory results with both models. (PsycINFO Database Record (c) 2007 APA, all rights reserved)},
	keywords = {computer adaptive tests, individualized tests, Item Response Theory, item selection, Measurement},
	isbn = {0146-6216 (Print)},
	author = {Theo Eggen and Verschoor, Angela J.}
}
