£105.46

Springer Bayesian Item Response Modeling - Statistics Book

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Description

Explore the advancements in modern test theory with Bayesian Item Response Modeling: Theory and Applications. This academic text from Springer provides a deep look into the modeling of item response data, a field that has seen enormous progress. While most mainstream literature focuses on frequentist statistical methods for estimating model parameters and evaluating model fit, this book highlights the significant potential of the Bayesian methodology. By focusing on the Bayesian approach, readers can learn how to make improvements in the statistical modeling process. This methodology offers unique features that make it an attractive alternative for researchers working in the social and behavioral sciences. Whether you are studying existing frequentist methods or looking to implement more advanced Bayesian techniques, this volume serves as a comprehensive resource for understanding the evolving landscape of item response theory.

Key Features

Covers modern test theory and the extensive progress made in the field of item response theory.

Provides a detailed look at the Bayesian methodology as an alternative to frequentist statistical methods.

Explains how to improve the statistical modeling process through advanced Bayesian approaches.

Designed for researchers in the social and behavioral sciences seeking to estimate model parameters.

Offers insights into evaluating model fit using modern statistical techniques.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 September 2012
Listed Since
19 May 2012

Barcode

No barcode data available

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