Bayesian IRT Models with General and Specific Traits - Softcover

Sheng, Yanyan

 
9783836464369: Bayesian IRT Models with General and Specific Traits
Softcover
ISBN 10: 3836464365 ISBN 13: 9783836464369
Publisher: VDM Verlag Dr. Mueller E.K., 2008

Synopsis

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.

"synopsis" may belong to another edition of this title.

Synopsis

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.

About the Author

PhD: Studied Educational Measurement and Statistics at the University of Missouri-Columbia. Assistant Professor at Southern Illinois University, Carbondale, IL.

"About this title" may belong to another edition of this title.

Publisher
VDM Verlag Dr. Mueller E.K.
Publication date
2008
Language
English
ISBN 10 
3836464365
ISBN 13 
9783836464369
Binding
Paperback
Number of pages
100

Other Popular Editions of the Same Title

9783639439250: Bayesian IRT Models with General and Specific Traits: Parameter estimation and model comparisons

Featured Edition

ISBN 10:  3639439252 ISBN 13:  9783639439250
Publisher: AV Akademikerverlag, 2012
Softcover