Bayesian Item Response Modeling

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Release : 2010-05-19
Genre : Social Science
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Book Rating : 424/5 ( reviews)

Bayesian Item Response Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Item Response Modeling write by Jean-Paul Fox. This book was released on 2010-05-19. Bayesian Item Response Modeling available in PDF, EPUB and Kindle. The modeling of item response data is governed by item response theory, also referred to as modern test theory. The eld of inquiry of item response theory has become very large and shows the enormous progress that has been made. The mainstream literature is focused on frequentist statistical methods for - timating model parameters and evaluating model t. However, the Bayesian methodology has shown great potential, particularly for making further - provements in the statistical modeling process. The Bayesian approach has two important features that make it attractive for modeling item response data. First, it enables the possibility of incorpor- ing nondata information beyond the observed responses into the analysis. The Bayesian methodology is also very clear about how additional information can be used. Second, the Bayesian approach comes with powerful simulation-based estimation methods. These methods make it possible to handle all kinds of priors and data-generating models. One of my motives for writing this book is to give an introduction to the Bayesian methodology for modeling and analyzing item response data. A Bayesian counterpart is presented to the many popular item response theory books (e.g., Baker and Kim 2004; De Boeck and Wilson, 2004; Hambleton and Swaminathan, 1985; van der Linden and Hambleton, 1997) that are mainly or completely focused on frequentist methods. The usefulness of the Bayesian methodology is illustrated by discussing and applying a range of Bayesian item response models.

Multidimensional Item Response Theory

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Release : 2009-07-07
Genre : Social Science
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Book Rating : 766/5 ( reviews)

Multidimensional Item Response Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multidimensional Item Response Theory write by M.D. Reckase. This book was released on 2009-07-07. Multidimensional Item Response Theory available in PDF, EPUB and Kindle. First thorough treatment of multidimensional item response theory Description of methods is supported by numerous practical examples Describes procedures for multidimensional computerized adaptive testing

Bayesian Psychometric Modeling

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Release : 2017-07-28
Genre : Mathematics
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Book Rating : 97X/5 ( reviews)

Bayesian Psychometric Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Psychometric Modeling write by Roy Levy. This book was released on 2017-07-28. Bayesian Psychometric Modeling available in PDF, EPUB and Kindle. A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics. Adopting a Bayesian approach can aid in unifying seemingly disparate—and sometimes conflicting—ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking. The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.

Handbook of Polytomous Item Response Theory Models

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Release : 2011-01-19
Genre : Psychology
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Book Rating : 725/5 ( reviews)

Handbook of Polytomous Item Response Theory Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Polytomous Item Response Theory Models write by Michael Nering. This book was released on 2011-01-19. Handbook of Polytomous Item Response Theory Models available in PDF, EPUB and Kindle. This comprehensive Handbook focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models originated, conceptually and in practical terms. Diverse perspectives on how these models can best be evaluated are also provided. Practical applications provide a realistic account of the issues practitioners face using these models. Disparate elements of the book are linked through editorial sidebars that connect common ideas across chapters, compare and reconcile differences in terminology, and explain variations in mathematical notation. These sidebars help to demonstrate the commonalities that exist across the field. By assembling this critical information, the editors hope to inspire others to use polytomous IRT models in their own research so they too can achieve the type of improved measurement that such models can provide. Part 1 examines the most commonly used polytomous IRT models, major issues that cut across these models, and a common notation for calculating functions for each model. An introduction to IRT software is also provided. Part 2 features distinct approaches to evaluating the effectiveness of polytomous IRT models in various measurement contexts. These chapters appraise evaluation procedures and fit tests and demonstrate how to implement these procedures using IRT software. The final section features groundbreaking applications. Here the goal is to provide solutions to technical problems to allow for the most effective use of these models in measuring educational, psychological, and social science abilities and traits. This section also addresses the major issues encountered when using polytomous IRT models in computerized adaptive testing. Equating test scores across different testing contexts is the focus of the last chapter. The various contexts include personality research, motor performance, health and quality of life indicators, attitudes, and educational achievement. Featuring contributions from the leading authorities, this handbook will appeal to measurement researchers, practitioners, and students who want to apply polytomous IRT models to their own research. It will be of particular interest to education and psychology assessment specialists who develop and use tests and measures in their work, especially researchers in clinical, educational, personality, social, and health psychology. This book also serves as a supplementary text in graduate courses on educational measurement, psychometrics, or item response theory.

Explanatory Item Response Models

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Release : 2013-03-09
Genre : Social Science
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Book Rating : 907/5 ( reviews)

Explanatory Item Response Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Explanatory Item Response Models write by Paul de Boeck. This book was released on 2013-03-09. Explanatory Item Response Models available in PDF, EPUB and Kindle. This edited volume gives a new and integrated introduction to item response models (predominantly used in measurement applications in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models. It also includes a chapter on the statistical background and one on useful software.