@article {107,
	title = {Algoritmo mixto m{\'\i}nima entrop{\'\i}a-m{\'a}xima informaci{\'o}n para la selecci{\'o}n de {\'\i}tems en un test adaptativo informatizado},
	journal = {Psicothema},
	volume = {12},
	number = {2},
	year = {2000},
	pages = {12-14},
	abstract = {El objetivo del estudio que presentamos es comparar la eficacia como estrat egia de selecci{\'o}n de {\'\i}tems  de tres algo ritmos dife rentes: a) basado en m{\'a}xima info rmaci{\'o}n; b) basado en m{\'\i}nima entrop{\'\i}a; y c) mixto m{\'\i}nima entrop{\'\i}a en los {\'\i}tems iniciales y m{\'a}xima info rmaci{\'o}n en el resto; bajo la hip{\'o}tesis de que el algo ritmo mixto, puede dotar al TAI de mayor eficacia. Las simulaciones de procesos TAI se re a l i z a ron sobre un banco de 28 {\'\i}tems de respuesta graduada calibrado seg{\'u}n el modelo de Samejima, tomando como respuesta al TAI la respuesta ori ginal de los sujetos que fueron utilizados para la c a l i b raci{\'o}n. Los resultados iniciales mu e s t ran c{\'o}mo el cri t e rio mixto es m{\'a}s eficaz que cualquiera de los otros dos tomados indep e n d i e n t e m e n t e. Dicha eficacia se maximiza cuando el algo ritmo de m{\'\i}nima entrop{\'\i}a se re s t ri n ge a la selecci{\'o}n de los pri m e ros {\'\i}tems del TAI, ya que con las respuestas a estos pri m e ros {\'\i}tems la estimaci{\'o}n de q comienza a ser re l evante y el algo ritmo de m{\'a}xima informaci{\'o}nse optimiza.Item selection algo rithms in computeri zed adap t ive testing. The aim of this paper is to compare the efficacy of three different item selection algo rithms in computeri zed adap t ive testing (CAT). These algorithms are based as follows: the first one is based on Item Info rm ation, the second one on Entropy, and the last algo rithm is a mixture of the two previous ones. The CAT process was simulated using an emotional adjustment item bank. This item bank contains 28 graded items in six categories , calibrated using Samejima (1969) Graded Response Model. The initial results show that the mixed criterium algorithm performs better than the other ones.},
	keywords = {computerized adaptive testing},
	author = {Dorronsoro, J. R. and Santa-Cruz, C. and Rubio Franco, V. J. and Aguado Garc{\'\i}a, D.}
}
@article {145,
	title = {Item selection algorithms in computerized adaptive testing},
	journal = {Psicothema},
	volume = {12},
	number = {Suppl 2},
	year = {2000},
	note = {Spanish .Algoritmo mixto minima entropia-maxima informacion para la seleccion de items en un test adaptativo informatizado..Universidad de Oviedo, Spain},
	pages = {12-14},
	abstract = {Studied the efficacy of 3 different item selection algorithms in computerized adaptive testing. Ss were 395 university students (aged 20-25 yrs) in Spain. Ss were asked to submit answers via computer to 28 items of a personality questionnaire using item selection algorithms based on maximum item information, entropy, or mixed item-entropy algorithms. The results were evaluated according to ability of Ss to use item selection algorithms and number of questions. Initial results indicate that mixed criteria algorithms were more efficient than information or entropy algorithms for up to 15 questionnaire items, but that differences in efficiency decreased with increasing item number. Implications for developing computer adaptive testing methods are discussed. (PsycINFO Database Record (c) 2002 APA, all rights reserved).},
	author = {Garcia, David A. and Santa Cruz, C. and Dorronsoro, J. R. and Rubio Franco, V. J.}
}
