@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 {418,
	title = {Mathematical-programming approaches to test item pool design},
	number = {RR 02-09},
	year = {2002},
	note = {Using Smart Source ParsingAdvances in psychology research, Vol. ( Hauppauge, NY : Nova Science Publishers, Inc, [URL:http://www.Novapublishers.com]. vi, 228 pp},
	pages = {93-108},
	institution = {University of Twente, Faculty of Educational Science and Technology},
	address = {Twente, The Netherlands},
	abstract = {(From the chapter) This paper presents an approach to item pool design that has the potential to improve on the quality of current item pools in educational and psychological testing and hence to increase both measurement precision and validity. The approach consists of the application of mathematical programming techniques to calculate optimal blueprints for item pools. These blueprints can be used to guide the item-writing process. Three different types of design problems are discussed, namely for item pools for linear tests, item pools computerized adaptive testing (CAT), and systems of rotating item pools for CAT. The paper concludes with an empirical example of the problem of designing a system of rotating item pools for CAT.},
	keywords = {Adaptive Testing, Computer Assisted, Computer Programming, Educational Measurement, Item Response Theory, Mathematics, Psychometrics, Statistical Rotation computerized adaptive testing, Test Items, Testing},
	isbn = {02-09},
	author = {Veldkamp, B. P. and van der Linden, W. J. and Ariel, A.}
}
