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Ordinal Data Modeling (Statistics for Social Science and Behavorial Sciences)
By Valen E. Johnson, James H. Albert,
Publisher: Springer
Number Of Pages: 258
Publication Date: 2000-12-15
Sales Rank: 90509
ISBN / ASIN: 0387987185
EAN: 9780387987187
Binding: Hardcover
Manufacturer: Springer
Studio: Springer
Average Rating: 4
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.
Review:
nice treatment with many examples from education
This book provides both the Bayesian and classical approaches to ordinal data analysis but is unique in emphasizing the Bayesian approach and the latest advances. The authors are academic statisticians and the text is designed for a graduate level course for statistics or social science majors. It includes some very well written introductory material on these two forms fo statistical inference.
The mathematical level is intermediate but is written in a clear way to be accessible to social science students. This is also a good reference book for statisticians especially those involved in educational testing.
Markov chain Monte Carlo methods are provided along with some programmed algorithms for doing Gibbs sampling. A website is available to help the reader get access to datasets and software to implement the procedures.
Although the offer of software is nice, the authors neglect to mention the BUGS software that has been developed in the UK to handle MCMC problems. BUGS or the new window based WinBUGS is easily accessible to the reader and provides a lot of additional modeling aids including diagnostics.
The book covers a lot of interesting and applications oriented topics including logistic regression, ordinal regression, item response models, graded response models and the analysis of ROC curves. Concepts are illustrated and techniques demonstrated through real problems.
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