@article {18,
	title = {Methods for restricting maximum exposure rate in computerized adaptative testing},
	journal = {Methodology: European Journal of Research Methods for the Behavioral and Social Sciences},
	volume = {3},
	number = {1},
	year = {2007},
	pages = {14-23},
	publisher = {Hogrefe \& Huber Publishers GmbH: Germany},
	abstract = {The Sympson-Hetter (1985) method provides a means of controlling maximum exposure rate of items in Computerized Adaptive Testing. Through a series of simulations, control parameters are set that mark the probability of administration of an item on being selected. This method presents two main problems: it requires a long computation time for calculating the parameters and the maximum exposure rate is slightly above the fixed limit. Van der Linden (2003) presented two alternatives which appear to solve both of the problems. The impact of these methods in the measurement accuracy has not been tested yet. We show how these methods over-restrict the exposure of some highly discriminating items and, thus, the accuracy is decreased. It also shown that, when the desired maximum exposure rate is near the minimum possible value, these methods offer an empirical maximum exposure rate clearly above the goal. A new method, based on the initial estimation of the probability of administration and the probability of selection of the items with the restricted method (Revuelta \& Ponsoda, 1998), is presented in this paper. It can be used with the Sympson-Hetter method and with the two van der Linden{\textquoteright}s methods. This option, when used with Sympson-Hetter, speeds the convergence of the control parameters without decreasing the accuracy. (PsycINFO Database Record (c) 2007 APA, all rights reserved)},
	keywords = {computerized adaptive testing, item bank security, item exposure control, overlap rate, Sympson-Hetter method},
	isbn = {1614-1881 (Print); 1614-2241 (Electronic)},
	author = {Barrada, J and Olea, J. and Ponsoda, V.}
}
@article {202,
	title = {Assisted self-adapted testing: A comparative study},
	journal = {European Journal of Psychological Assessment},
	volume = {20},
	number = {1},
	year = {2004},
	pages = {2-9},
	abstract = {A new type of self-adapted test (S-AT), called Assisted Self-Adapted Test (AS-AT), is presented. It differs from an ordinary S-AT in that prior to selecting the difficulty category, the computer advises examinees on their best difficulty category choice, based on their previous performance. Three tests (computerized adaptive test, AS-AT, and S-AT) were compared regarding both their psychometric (precision and efficiency) and psychological (anxiety) characteristics. Tests were applied in an actual assessment situation, in which test scores determined 20\% of term grades. A sample of 173 high school students participated. Neither differences in posttest anxiety nor ability were obtained. Concerning precision, AS-AT was as precise as CAT, and both revealed more precision than S-AT. It was concluded that AS-AT acted as a CAT concerning precision. Some hints, but not conclusive support, of the psychological similarity between AS-AT and S-AT was also found. (PsycINFO Database Record (c) 2005 APA ) (journal abstract)},
	keywords = {Adaptive Testing, Anxiety, Computer Assisted Testing, Psychometrics, Test},
	author = {Hontangas, P. and Olea, J. and Ponsoda, V. and Revuelta, J. and Wise, S. L.}
}
@article {203,
	title = {Los tests adaptativos informatizados en la frontera del siglo XXI: Una revisi{\'o}n [Computerized adaptive  tests at the turn of the 21st century: A review]},
	journal = {Metodolog{\'\i}a de las Ciencias del Comportamiento},
	volume = {2},
	number = {2},
	year = {2000},
	pages = {183-216},
	keywords = {computerized adaptive testing},
	isbn = {1575-9105},
	author = {Hontangas, P. and Ponsoda, V. and Olea, J. and Abad, F. J.}
}
@article {317,
	title = {Overview of the computerized adaptive testing special section},
	journal = {Psicol{\'o}gica},
	volume = {21},
	number = {1-2},
	year = {2000},
	pages = {115-120},
	abstract = {This paper provides an overview of the five papers included in the Psicologica special section on computerized adaptive testing. A short introduction to this topic is presented as well. The main results, the links between the five papers and the general research topic to which they are more related are also shown. (PsycINFO Database Record (c) 2005 APA )},
	keywords = {Adaptive Testing, Computers computerized adaptive testing},
	author = {Ponsoda, V.}
}
