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Bayesian IRT Models with General and Specific Traits: Parameter estimation and model comparisons - Softcover
Synopsis
Revision with unchanged content. Modeling the interaction between persons and items for binary response data, item response theory (IRT) has been found useful in a wide variety of applications. Over the past decades, studies have been conducted on the development and application of unidimensional as well as multidimensional IRT models. However, little literature exists on IRT-based models that incorporate one general trait and several specific trait dimensions. This book, therefore, proposes such models in the Bayesian hierarchical framework, assesses their performances in various testing situations and further compares them with the conventional IRT models using Bayesian model choice techniques. Results from the analysis suggest that the proposed models offer a better way to represent the test situations not realized in existing models. The methodology and analysis should shed some light on the development of complex IRT models and the statistical procedures for parameter estimation, and should be especially useful to professionals in educational and psychological measurement, or anyone who may be considering utilizing IRT models for assessing persons' continuous latent traits.
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About the Author
PhD: Studied Educational Measurement and Statistics at the University of Missouri-Columbia. Assistant Professor at Southern Illinois University, Carbondale, IL.
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Bayesian IRT Models with General and Specific Traits
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AV Akademikerverlag Jul 2012, 2012
ISBN 10: 3639439252
ISBN 13: 9783639439250
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. Modeling the interaction between persons and items for binary response data, item response theory (IRT) has been found useful in a wide variety of applications. Over the past decades, studies have been conducted on the development and application of unidimensional as well as multidimensional IRT models. However, little literature exists on IRT-based models that incorporate one general trait and several specific trait dimensions. This book, therefore, proposes such models in the Bayesian hierarchical framework, assesses their performances in various testing situations and further compares them with the conventional IRT models using Bayesian model choice techniques. Results from the analysis suggest that the proposed models offer a better way to represent the test situations not realized in existing models. The methodology and analysis should shed some light on the development of complex IRT models and the statistical procedures for parameter estimation, and should be especially useful to professionals in educational and psychological measurement, or anyone who may be considering utilizing IRT models for assessing persons' continuous latent traits. 100 pp. Englisch. Seller Inventory # 9783639439250
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Bayesian IRT Models with General and Specific Traits: Parameter estimation and model comparisons
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Bayesian IRT Models with General and Specific Traits: Parameter estimation and model comparisons
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Bayesian IRT Models with General and Specific Traits
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sheng YanyanPhD: Studied Educational Measurement and Statistics at the University of Missouri-Columbia. Assistant Professor at Southern Illinois University, Carbondale, IL.Revision with unchanged content. Modeling the interaction. Seller Inventory # 4988131
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Bayesian IRT Models with General and Specific Traits: Parameter estimation and model comparisons
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Bayesian IRT Models with General and Specific Traits : Parameter estimation and model comparisons
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. Modeling the interaction between persons and items for binary response data, item response theory (IRT) has been found useful in a wide variety of applications. Over the past decades, studies have been conducted on the development and application of unidimensional as well as multidimensional IRT models. However, little literature exists on IRT-based models that incorporate one general trait and several specific trait dimensions. This book, therefore, proposes such models in the Bayesian hierarchical framework, assesses their performances in various testing situations and further compares them with the conventional IRT models using Bayesian model choice techniques. Results from the analysis suggest that the proposed models offer a better way to represent the test situations not realized in existing models. The methodology and analysis should shed some light on the development of complex IRT models and the statistical procedures for parameter estimation, and should be especially useful to professionals in educational and psychological measurement, or anyone who may be considering utilizing IRT models for assessing persons' continuous latent traits. Seller Inventory # 9783639439250
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Bayesian IRT Models with General and Specific Traits
Published by
AV Akademikerverlag Jul 2012, 2012
ISBN 10: 3639439252
ISBN 13: 9783639439250
New
Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. Modeling the interaction between persons and items for binary response data, item response theory (IRT) has been found useful in a wide variety of applications. Over the past decades, studies have been conducted on the development and application of unidimensional as well as multidimensional IRT models. However, little literature exists on IRT-based models that incorporate one general trait and several specific trait dimensions. This book, therefore, proposes such models in the Bayesian hierarchical framework, assesses their performances in various testing situations and further compares them with the conventional IRT models using Bayesian model choice techniques. Results from the analysis suggest that the proposed models offer a better way to represent the test situations not realized in existing models. The methodology and analysis should shed some light on the development of complex IRT models and the statistical procedures for parameter estimation, and should be especially useful to professionals in educational and psychological measurement, or anyone who may be considering utilizing IRT models for assessing persons' continuous latent traits.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Seller Inventory # 9783639439250
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Bayesian IRT Models with General and Specific Traits | Parameter estimation and model comparisons
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Taschenbuch. Condition: Neu. Bayesian IRT Models with General and Specific Traits | Parameter estimation and model comparisons | Yanyan Sheng | Taschenbuch | 100 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639439250 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106392005