Ordinal Data Modeling / Edition 1

Ordinal Data Modeling / Edition 1

by Valen E. Johnson, James H. Albert
     
 

ISBN-10: 0387987185

ISBN-13: 9780387987187

Pub. Date: 03/30/1999

Publisher: Springer New York

Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. 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

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Overview

Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. 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.

Product Details

ISBN-13:
9780387987187
Publisher:
Springer New York
Publication date:
03/30/1999
Series:
Statistics for Social and Behavioral Sciences Series
Edition description:
1st ed. 1999. Corr. 2nd printing 2000
Pages:
258
Product dimensions:
9.21(w) x 6.14(h) x 0.75(d)

Table of Contents

Preface
1Review of Classical and Bayesian Inference1
2Review of Bayesian Computation33
3Regression Models for Binary Data75
4Regression Models for Ordinal Data126
5Analyzing Data from Multiple Raters158
6Item Response Modeling182
7Graded Response Models: A Case Study of Undergraduate Grade Data215
AppSoftware for Ordinal Data Modeling239
References249
Index255

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