Ordinal Data Modeling

• Main Authors: Johnson, Valen E. (Author), Albert, James H. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 1999.
• Series: Statistics for Social Science and Behavorial Sciences
• Subjects: Statistics.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. Written for graduate students and researchers in the statistical and social sciences, this book describes a coherent framework for understanding binary and ordinal regression mod...

Table of Contents:

• Review of Classical and Bayesian Inference
• Review of Bayesian Computation
• Regression Models for Binary Data
• Regression Models for Ordinal Data
• Analyzing Data from Multiple Raters
• Item Response Modeling
• Graded Response Models: A Case Study of Undergraduate Grade Data.