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Bayesian Item Response Modeling

Theory and Applications

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Páginas
313 páginas
Tiempo de lectura
11 horas

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Focusing on the Bayesian methodology, this book presents a comprehensive introduction to modeling and analyzing item response data, contrasting it with traditional frequentist methods. It emphasizes the benefits of incorporating non-data information and powerful simulation-based estimation techniques. The text aims to fill a gap in existing literature by providing a Bayesian perspective alongside popular frequentist item response theory resources. Practical applications and discussions of various Bayesian item response models illustrate the methodology's effectiveness and versatility.

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Bayesian Item Response Modeling, Jean-Paul Fox

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Publicado en
2010
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