Roy Levy, Robert J. Mislevy

Bayesian Psychometric Modeling (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book 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. The book covers foundational principles and statistical models as well as popular psychometric models. Throughout the text, 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 492
• Erscheinungstermin: 28. Juli 2017
• Englisch
• ISBN-13: 9781439884683
• Artikelnr.: 45434551

Autorenporträt

Roy Levy is an associate professor of measurement and statistical analysis in the T. Denny Sanford School of Social and Family Dynamics at Arizona State University. His primary research and teaching interests include methodological developments and applications of psychometrics and statistics to assessment, education, and the social sciences. He has received awards from the President of the United States, Division D of the American Educational Research Association, and the National Council on Measurement in Education.

Robert J. Mislevy is the Frederic M. Lord Chair in Measurement and Statistics at Educational Testing Service. He was previously a professor of measurement and statistics at the University of Maryland and an affiliated professor of second language acquisition and survey methodology. His research applies developments in statistics, technology, and psychology to practical problems in assessment, including the development of multiple-imputation analysis in the National Assessment of Educational Progress. He is a member of the National Academy of Education and has been a president of the Psychometric Society. He has received awards from the National Council on Measurement in Education and Division D of the American Educational Research Association.

Inhaltsangabe

FOUNDATIONS: Overview of Assessment and Psychometric Modeling. Introduction
to Bayesian Inference. Conceptual Issues in Bayesian Inference. Normal
Distribution Models. Markov Chain Monte Carlo Estimation. Regression.
PSYCHOMETRICS: Canonical Bayesian Psychometric Modeling. Classical Test
Theory. Confirmatory Factor Analysis. Model Evaluation. Item Response
Theory. Missing Data Modeling. Latent Class Analysis. Bayesian Networks.
Conclusion. Appendices. References. Index.