@article {77,
	title = {The maximum priority index method for severely constrained item selection in computerized adaptive testing},
	journal = {British Journal of Mathematical and Statistical Psychology},
	volume = {62},
	number = {2},
	year = {2009},
	note = {Cheng, YingChang, Hua-HuaResearch Support, Non-U.S. Gov{\textquoteright}tEnglandThe British journal of mathematical and statistical psychologyBr J Math Stat Psychol. 2009 May;62(Pt 2):369-83. Epub 2008 Jun 2.},
	month = {May},
	pages = {369-83},
	edition = {2008/06/07},
	abstract = {This paper introduces a new heuristic approach, the maximum priority index (MPI) method, for severely constrained item selection in computerized adaptive testing. Our simulation study shows that it is able to accommodate various non-statistical constraints simultaneously, such as content balancing, exposure control, answer key balancing, and so on. Compared with the weighted deviation modelling method, it leads to fewer constraint violations and better exposure control while maintaining the same level of measurement precision.},
	keywords = {Aptitude Tests/*statistics \& numerical data, Diagnosis, Computer-Assisted/*statistics \& numerical data, Educational Measurement/*statistics \& numerical data, Humans, Mathematical Computing, Models, Statistical, Personality Tests/*statistics \& numerical data, Psychometrics/*statistics \& numerical data, Reproducibility of Results, Software},
	isbn = {0007-1102 (Print)0007-1102 (Linking)},
	author = {Cheng, Y and Chang, Hua-Hua}
}
@article {71,
	title = {Predicting item exposure parameters in computerized adaptive testing},
	journal = {British Journal of Mathematical and Statistical Psychology},
	volume = {61},
	number = {1},
	year = {2008},
	note = {Chen, Shu-YingDoong, Shing-HwangResearch Support, Non-U.S. Gov{\textquoteright}tEnglandThe British journal of mathematical and statistical psychologyBr J Math Stat Psychol. 2008 May;61(Pt 1):75-91.},
	month = {May},
	pages = {75-91},
	edition = {2008/05/17},
	abstract = {The purpose of this study is to find a formula that describes the relationship between item exposure parameters and item parameters in computerized adaptive tests by using genetic programming (GP) - a biologically inspired artificial intelligence technique. Based on the formula, item exposure parameters for new parallel item pools can be predicted without conducting additional iterative simulations. Results show that an interesting formula between item exposure parameters and item parameters in a pool can be found by using GP. The item exposure parameters predicted based on the found formula were close to those observed from the Sympson and Hetter (1985) procedure and performed well in controlling item exposure rates. Similar results were observed for the Stocking and Lewis (1998) multinomial model for item selection and the Sympson and Hetter procedure with content balancing. The proposed GP approach has provided a knowledge-based solution for finding item exposure parameters.},
	keywords = {*Algorithms, *Artificial Intelligence, Aptitude Tests/*statistics \& numerical data, Diagnosis, Computer-Assisted/*statistics \& numerical data, Humans, Models, Statistical, Psychometrics/statistics \& numerical data, Reproducibility of Results, Software},
	isbn = {0007-1102 (Print)0007-1102 (Linking)},
	author = {Chen, S-Y. and Doong, S. H.}
}
@article {17,
	title = {Rotating item banks versus restriction of maximum exposure rates in computerized adaptive testing},
	journal = {Spanish Journal of Psychology},
	volume = {11},
	number = {2},
	year = {2008},
	note = {Barrada, Juan RamonOlea, JulioAbad, Francisco JoseResearch Support, Non-U.S. Gov{\textquoteright}tSpainThe Spanish journal of psychologySpan J Psychol. 2008 Nov;11(2):618-25.},
	pages = {618-625},
	edition = {2008/11/08},
	abstract = {<p>If examinees were to know, beforehand, part of the content of a computerized adaptive test, their estimated trait levels would then have a marked positive bias. One of the strategies to avoid this consists of dividing a large item bank into several sub-banks and rotating the sub-bank employed (Ariel, Veldkamp \&amp; van der Linden, 2004). This strategy permits substantial improvements in exposure control at little cost to measurement accuracy, However, we do not know whether this option provides better results than using the master bank with greater restriction in the maximum exposure rates (Sympson \&amp; Hetter, 1985). In order to investigate this issue, we worked with several simulated banks of 2100 items, comparing them, for RMSE and overlap rate, with the same banks divided in two, three... up to seven sub-banks. By means of extensive manipulation of the maximum exposure rate in each bank, we found that the option of rotating banks slightly outperformed the option of restricting maximum exposure rate of the master bank by means of the Sympson-Hetter method.</p>
},
	keywords = {*Character, *Databases, *Software Design, Aptitude Tests/*statistics \& numerical data, Bias (Epidemiology), Computing Methodologies, Diagnosis, Computer-Assisted/*statistics \& numerical data, Educational Measurement/*statistics \& numerical data, Humans, Mathematical Computing, Psychometrics/statistics \& numerical data},
	isbn = {1138-7416},
	author = {Barrada, J and Olea, J. and Abad, F. J.}
}
@article {135,
	title = {Computerized adaptive personality testing: A review and illustration with the MMPI-2 Computerized Adaptive Version},
	journal = {Psychological Assessment},
	volume = {19},
	number = {1},
	year = {2007},
	note = {Forbey, Johnathan DBen-Porath, Yossef SResearch Support, Non-U.S. Gov{\textquoteright}tUnited StatesPsychological assessmentPsychol Assess. 2007 Mar;19(1):14-24.},
	month = {Mar},
	pages = {14-24},
	edition = {2007/03/21},
	abstract = {Computerized adaptive testing in personality assessment can improve efficiency by significantly reducing the number of items administered to answer an assessment question. Two approaches have been explored for adaptive testing in computerized personality assessment: item response theory and the countdown method. In this article, the authors review the literature on each and report the results of an investigation designed to explore the utility, in terms of item and time savings, and validity, in terms of correlations with external criterion measures, of an expanded countdown method-based research version of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2), the MMPI-2 Computerized Adaptive Version (MMPI-2-CA). Participants were 433 undergraduate college students (170 men and 263 women). Results indicated considerable item savings and corresponding time savings for the adaptive testing modalities compared with a conventional computerized MMPI-2 administration. Furthermore, computerized adaptive administration yielded comparable results to computerized conventional administration of the MMPI-2 in terms of both test scores and their validity. Future directions for computerized adaptive personality testing are discussed.},
	keywords = {Adolescent, Adult, Diagnosis, Computer-Assisted/*statistics \& numerical data, Female, Humans, Male, MMPI/*statistics \& numerical data, Personality Assessment/*statistics \& numerical data, Psychometrics/statistics \& numerical data, Reference Values, Reproducibility of Results},
	isbn = {1040-3590 (Print)},
	author = {Forbey, J. D. and Ben-Porath, Y. S.}
}
@article {210,
	title = {Computerized adaptive testing for measuring development of young children},
	journal = {Statistics in Medicine},
	volume = {26},
	number = {13},
	year = {2007},
	note = {Jacobusse, GertBuuren, Stef vanEnglandStatistics in medicineStat Med. 2007 Jun 15;26(13):2629-38.},
	month = {Jun 15},
	pages = {2629-38},
	edition = {2006/11/30},
	abstract = {Developmental indicators that are used for routine measurement in The Netherlands are usually chosen to optimally identify delayed children. Measurements on the majority of children without problems are therefore quite imprecise. This study explores the use of computerized adaptive testing (CAT) to monitor the development of young children. CAT is expected to improve the measurement precision of the instrument. We do two simulation studies - one with real data and one with simulated data - to evaluate the usefulness of CAT. It is shown that CAT selects developmental indicators that maximally match the individual child, so that all children can be measured to the same precision.},
	keywords = {*Child Development, *Models, Statistical, Child, Preschool, Diagnosis, Computer-Assisted/*statistics \& numerical data, Humans, Netherlands},
	isbn = {0277-6715 (Print)},
	author = {Jacobusse, G. and Buuren, S.}
}
