Tipo: materialTypeLabelLibro - General
Ubicación Física: 150.287 / L744 2016

Handbook of item response theory /

Autor: Linden, Wim J. van der.
Otros Autores: Albert, James H. ( autor ) ; Casabianca, Josi M. ( autor ) ; Haberman, Shelby ( autor ) ; Junker, Brian W. ( autor ) .
Serie: Chapman & hall/CRC statistics in the social and behavioral sciences.
Pié de imprenta: Boca Raton : CRC Press, 2016.
Descripción: Volumen 2 ; 18 x 26 cm.
ISBN: 9781466514324 [v.2].
Tema(s):
Contenido: Biblioteca tiene v.2. Statistical tools.
Resumen: Drwawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools present classical and modern statistical tools used in item response theory (IRT). White IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void.Features. Includes contributions from internationally acclaimed experts with a history of original and successful work in their respective areas. Provides extensive cross-referencing and common notation across all chapters. Explains the use of statistical tools for the treatment of IRT models and their applications.Volumen Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent development in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.

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CYP
Colección General 150.287/L744/2016 (Navegar estantería) Vol. 2 Ej. 1 Disponible Reserva 24377

Biblioteca tiene v.2. Statistical tools.

Psicología

Drwawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools present classical and modern statistical tools used in item response theory (IRT). White IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void.

Features. Includes contributions from internationally acclaimed experts with a history of original and successful work in their respective areas. Provides extensive cross-referencing and common notation across all chapters. Explains the use of statistical tools for the treatment of IRT models and their applications.

Volumen Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent development in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.

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