@article {296,
	title = {T{\'e}cnicas para detectar patrones de respuesta at{\'\i}picos [Aberrant patterns detection methods]},
	journal = {Anales de Psicolog{\'\i}a},
	volume = {22},
	number = {1},
	year = {2006},
	note = {Spain: Universidad de Murcia},
	pages = {143-154},
	abstract = {La identificaci{\'o}n de patrones de respuesta at{\'\i}picos es de gran utilidad para la construcci{\'o}n de tests y de bancos de {\'\i}tems con propiedades psicom{\'e}tricas as{\'\i} como para el an{\'a}lisis de validez de los mismos. En este trabajo de revisi{\'o}n se han recogido los m{\'a}s relevantes y novedosos m{\'e}todos de ajuste de personas que se han elaborado dentro de cada uno de los principales {\'a}mbitos de trabajo de la Psicometr{\'\i}a: el escalograma de Guttman, la Teor{\'\i}a Cl{\'a}sica de Tests (TCT), la Teor{\'\i}a de la Generalizabilidad (TG), la Teor{\'\i}a de Respuesta al {\'I}tem (TRI), los Modelos de Respuesta al {\'I}tem No Param{\'e}tricos (MRINP), los Modelos de Clase Latente de Orden Restringido (MCL-OR) y el An{\'a}lisis de Estructura de Covarianzas (AEC).Aberrant patterns detection has a great usefulness in order to make tests and item banks with psychometric characteristics and validity analysis of tests and items. The most relevant and newest person-fit methods have been reviewed. All of them have been made in each one of main areas of Psychometry: Guttman{\textquoteright}s scalogram, Classical Test Theory (CTT), Generalizability Theory (GT), Item Response Theory (IRT), Non-parametric Response Models (NPRM), Order-Restricted Latent Class Models (OR-LCM) and Covariance Structure Analysis (CSA).},
	keywords = {aberrant patterns detection, Classical Test Theory, generalizability theory, Item Response, Item Response Theory, Mathematics, methods, person-fit, Psychometrics, psychometry, Test Validity, test validity analysis, Theory},
	isbn = {0212-9728},
	author = {N{\'u}{\~n}ez, R. M. N. and Pina, J. A. L.}
}
@article {4,
	title = {Propiedades psicom{\'e}tricas de un test Adaptativo Informatizado para la medici{\'o}n del ajuste emocional [Psychometric properties of an Emotional Adjustment Computerized Adaptive Test]},
	journal = {Psicothema},
	volume = {17},
	number = {3},
	year = {2005},
	pages = {484-491},
	abstract = {En el presente trabajo se describen las propiedades psicom{\'e}tricas de un Test Adaptativo Informatizado para la medici{\'o}n del ajuste emocional de las personas. La revisi{\'o}n de la literatura acerca de la aplicaci{\'o}n de los modelos de la teor{\'\i}a de la respuesta a los {\'\i}tems (TRI) muestra que {\'e}sta se ha utilizado m{\'a}s en el trabajo con variables aptitudinales que para la medici{\'o}n de variables de personalidad, sin embargo diversos estudios han mostrado la eficacia de la TRI para la descripci{\'o}n psicom{\'e}trica de dichasvariables. Aun as{\'\i}, pocos trabajos han explorado las caracter{\'\i}sticas de un Test Adaptativo Informatizado, basado en la TRI, para la medici{\'o}n de una variable de personalidad como es el ajuste emocional. Nuestros resultados muestran la eficiencia del TAI para la evaluaci{\'o}n del ajuste emocional, proporcionando una medici{\'o}n v{\'a}lida y precisa, utilizando menor n{\'u}mero de elementos de medida encomparaci{\'o}n con las escalas de ajuste emocional de instrumentos fuertemente implantados. Psychometric properties of an emotional adjustment computerized adaptive test. In the present work it was described the psychometric properties of an emotional adjustment computerized adaptive test. An examination of Item Response Theory (IRT) research literature indicates that IRT has been mainly used for assessing achievements and ability rather than personality factors. Nevertheless last years have shown several studies wich have successfully used IRT to personality assessment instruments. Even so, a few amount of works has inquired the computerized adaptative test features, based on IRT, for the measurement of a personality traits as it{\textquoteright}s the emotional adjustment. Our results show the CAT efficiency for the emotional adjustment assessment so this provides a valid and accurate measurement; by using a less number of items in comparison with the emotional adjustment scales from the most strongly established questionnaires.},
	keywords = {Computer Assisted Testing, Emotional Adjustment, Item Response, Personality Measures, Psychometrics, Test Validity, Theory},
	author = {Aguado, D. and Rubio, V. J. and Hontangas, P. M. and Hern{\'a}ndez, J. M.}
}
@article {336,
	title = {Computerized adaptive testing with the generalized graded unfolding model},
	journal = {Applied Psychological Measurement},
	volume = {25},
	number = {2},
	year = {2001},
	pages = {177-196},
	abstract = {Examined the use of the generalized graded unfolding model (GGUM) in computerized adaptive testing. The objective was to minimize the number of items required to produce equiprecise estimates of person locations. Simulations based on real data about college student attitudes toward abortion and on data generated to fit the GGUM were used. It was found that as few as 7 or 8 items were needed to produce accurate and precise person estimates using an expected a posteriori procedure. The number items in the item bank (20, 40, or 60 items) and their distribution on the continuum (uniform locations or item clusters in moderately extreme locations) had only small effects on the accuracy and precision of the estimates. These results suggest that adaptive testing with the GGUM is a good method for achieving estimates with an approximately uniform level of precision using a small number of items. (PsycINFO Database Record (c) 2005 APA )},
	keywords = {Attitude Measurement, College Students computerized adaptive testing, Computer Assisted Testing, Item Response, Models, Statistical Estimation, Theory},
	author = {Roberts, J. S. and Lin, Y. and Laughlin, J. E.}
}
