Bayesian Item Response Modeling: Theory and Applications (Statistics for Social and Behavioral Sciences)




E-Book Name Title for Download :Bayesian Item Response Modeling: Theory and Applications (Statistics for Social and Behavioral Sciences) (Format : pdf)

Plot : This book presents a thorough treatment and unified coverage of Bayesian item response modeling with applications in a variety of disciplines, including education, medicine, psychology, and sociology. Breakthroughs in computing technology have made the Bayesian approach particularly useful for many response modeling problems. Free from computational constraints, realistic and stateoftheart latent variable response models are considered for complex assessment and survey data to solve realworld problems. The Bayesian framework described provides a unified approach for modeling and inference, dealing with (nondata) prior information and information across multiple data sources. The book discusses methods for analyzing item response data and the complex relationships commonly associated with human response behavior and features Selfcontained introduction to Bayesian item response modeling and a coverage of extending standard models to handle complex assessment data A thorough overview of Bayesian estimation and testing methods for item response models, where MCMC methods are emphasized Numerous examples that cover a wide range of application areas, including education, medicine, psychology, and sociology Datasets and software (S, R, and WinBUGS code) of the models and methods presented in the book are available on www.jeanpaulfox.com Bayesian Item Response Modeling is an excellent book for research professionals, including applied statisticians, psychometricians, and social scientists who analyze item response data from a Bayesian perspective. It is a guide to the growing area of Bayesian response modeling for researchers and graduate students, and will also serve them as a good reference.



Author(s) Book :Jean-Paul Fox
E-Book Categories :Reference; Statistics; Epidemiology; Mathematics; Psychology; Education; Education; Marketing; Marketing & Sales; Nonfiction; Internal Medicine
Publish Year :2010 Publisher : Springer
You can check by ISBN10: 1441907416; ISBN13: 9781441907417
Pages :313

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