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Ordinal Data Modeling

  • Textbook
  • © 1999

Overview

Authors:
  1. Valen E. Johnson

    1. Institute of Statistics and Decision Sciences, Duke University, Durham, USA

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    You can also search for this author in PubMed   Google Scholar

  2. James H. Albert

    1. Department of Mathematics and Statistics, Bowling Green State University, Bowling Green, USA

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: Statistics for Social and Behavioral Sciences (SSBS)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-x
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  2. Review of Classical and Bayesian Inference

    • Valen E. Johnson, James H. Albert
    Pages 1-32

  3. Review of Bayesian Computation

    • Valen E. Johnson, James H. Albert
    Pages 33-74

  4. Regression Models for Binary Data

    • Valen E. Johnson, James H. Albert
    Pages 75-125

  5. Regression Models for Ordinal Data

    • Valen E. Johnson, James H. Albert
    Pages 126-157

  6. Analyzing Data from Multiple Raters

    • Valen E. Johnson, James H. Albert
    Pages 158-181

  7. Item Response Modeling

    • Valen E. Johnson, James H. Albert
    Pages 182-214

  8. Graded Response Models: A Case Study of Undergraduate Grade Data

    • Valen E. Johnson, James H. Albert
    Pages 215-238

  9. Back Matter

    Pages 239-258
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Keywords

About this book

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 models, item response models, graded response models, and ROC analyses, and for exposing the close connection between these models. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, and considerable attention is devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface.

Reviews

From the reviews:

STATISTICAL METHODS IN MEDICAL RESEARCH

"The book is an excellent introduction to Bayesian methods of original data modeling…the book is well written and all concepts are presented in a clear manner. Notation is consistent throughout the book and ideas in later chapters logically build on previous material. Fundamental concepts discussed by the authors are well presented. The authors are particularly savvy at connecting new ideas to previous knowledge. This book would make an excellent supplementary text to an individual doing research in these areas…This book does provide valuable information about modeling original data using Bayesian methods. This text provides a valuable addition to a researcher’s library (especially those working in psychometrics or educational statistics)."

Authors and Affiliations

  • Institute of Statistics and Decision Sciences, Duke University, Durham, USA

    Valen E. Johnson

  • Department of Mathematics and Statistics, Bowling Green State University, Bowling Green, USA

    James H. Albert

Bibliographic Information

  • Book Title: Ordinal Data Modeling

  • Authors: Valen E. Johnson, James H. Albert

  • Series Title: Statistics for Social and Behavioral Sciences

  • DOI: https://doi.org/10.1007/b98832

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1999

  • Hardcover ISBN: 978-0-387-98718-7Published: 30 March 1999

  • Softcover ISBN: 978-1-4757-7290-6Published: 14 April 2013

  • eBook ISBN: 978-0-387-22702-3Published: 06 April 2006

  • Series ISSN: 2199-7357

  • Series E-ISSN: 2199-7365

  • Edition Number: 1

  • Number of Pages: X, 258

  • Topics: Statistics for Social Sciences, Humanities, Law

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