@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.}
}
@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.}
}
@booklet {1370,
	title = {Optimal testing with easy items in computerized adaptive testing (Measurement and Research Department Report 2004-2)},
	year = {2004},
	address = {Arnhem, The Netherlands: Cito Group},
	author = {Theo Eggen and Verschoor, A. J.}
}
@conference {912,
	title = {Optimal testing with easy items in computerized adaptive testing},
	booktitle = {Paper presented at the conference of the International Association for Educational Assessment},
	year = {2003},
	address = {Manchester UK},
	author = {Theo Eggen and Verschoor, A.}
}
@booklet {1368,
	title = {Overexposure and underexposure of items in computerized adaptive testing (Measurement and Research Department Reports 2001-1)},
	year = {2001},
	note = {{PDF file, 276 KB}},
	address = {Arnhem, The Netherlands: CITO Groep},
	author = {Theo Eggen}
}
