@article {2614,
	title = {Item usage in a multidimensional computerized adaptive test (MCAT) measuring health-related quality of life},
	journal = {Quality of Life Research},
	volume = {26},
	number = {11},
	year = {2017},
	pages = {2909{\textendash}2918},
	issn = {1573-2649},
	doi = {10.1007/s11136-017-1624-3},
	url = {https://doi.org/10.1007/s11136-017-1624-3},
	author = {Paap, Muirne C. S. and Kroeze, Karel A. and Terwee, Caroline B. and van der Palen, Job and Veldkamp, Bernard P.}
}
@article {2488,
	title = {On the Issue of Item Selection in Computerized Adaptive Testing With Response Times},
	journal = {Journal of Educational Measurement},
	volume = {53},
	number = {2},
	year = {2016},
	pages = {212{\textendash}228},
	abstract = {Many standardized tests are now administered via computer rather than paper-and-pencil format. The computer-based delivery mode brings with it certain advantages. One advantage is the ability to adapt the difficulty level of the test to the ability level of the test taker in what has been termed computerized adaptive testing (CAT). A second advantage is the ability to record not only the test taker{\textquoteright}s response to each item (i.e., question), but also the amount of time the test taker spends considering and answering each item. Combining these two advantages, various methods were explored for utilizing response time data in selecting appropriate items for an individual test taker.Four strategies for incorporating response time data were evaluated, and the precision of the final test-taker score was assessed by comparing it to a benchmark value that did not take response time information into account. While differences in measurement precision and testing times were expected, results showed that the strategies did not differ much with respect to measurement precision but that there were differences with regard to the total testing time.},
	issn = {1745-3984},
	doi = {10.1111/jedm.12110},
	url = {http://dx.doi.org/10.1111/jedm.12110},
	author = {Veldkamp, Bernard P.}
}
@article {2326,
	title = {Item Selection Methods Based on Multiple Objective Approaches for Classifying Respondents Into Multiple Levels},
	journal = {Applied Psychological Measurement},
	volume = {38},
	number = {3},
	year = {2014},
	pages = {187-200},
	abstract = {<p>
	Computerized classification tests classify examinees into two or more levels while maximizing accuracy and minimizing test length. The majority of currently available item selection methods maximize information at one point on the ability scale, but in a test with multiple cutting points selection methods could take all these points simultaneously into account. If for each cutting point one objective is specified, the objectives can be combined into one optimization function using multiple objective approaches. Simulation studies were used to compare the efficiency and accuracy of eight selection methods in a test based on the sequential probability ratio test. Small differences were found in accuracy and efficiency between different methods depending on the item pool and settings of the classification method. The size of the indifference region had little influence on accuracy but considerable influence on efficiency. Content and exposure control had little influence on accuracy and efficiency.</p>
},
	doi = {10.1177/0146621613509723},
	url = {http://apm.sagepub.com/content/38/3/187.abstract},
	author = {van Groen, Maaike M. and Eggen, Theo J. H. M. and Veldkamp, Bernard P.}
}
@article {2234,
	title = {Implementing Sympson-Hetter Item-Exposure Control in a Shadow-Test Approach to Constrained Adaptive Testing},
	journal = {International Journal of Testing},
	volume = {8},
	number = {3},
	year = {2008},
	pages = {272-289},
	doi = {10.1080/15305050802262233},
	url = {http://www.tandfonline.com/doi/abs/10.1080/15305050802262233},
	author = {Veldkamp, Bernard P. and van der Linden, Wim J.}
}
