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Ordinal data modeling [electronic resource] / Valen E. Johnson, James H. Albert.

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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...

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Johnson, Valen E.
Other Authors: Albert, Jim, 1953-
Format: Electronic eBook
Language:English
Published: New York : Springer, ©1999.
Series:Statistics for social science and public policy.
Subjects:
Social sciences > Statistical methods.
Policy sciences > Statistical methods.
Numbers, Ordinal.
Table of Contents:
  • Cover
  • Preface
  • Table of Contents
  • 1. Review of Classical and Bayesian Inference
  • 2. Review of Bayesian Computation
  • 3. Regression Models for Binary Data
  • 4. Regression Models for Ordinal Data
  • 5. Analyzing Data from Multiple Raters
  • 6. Item Response Modeling
  • 7. Graded Response Models: A Case Study of Undergraduate Grade Data
  • Appendix: Software for Ordinal Data Modeling
  • References.

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