Statistical Models for Ordinal Variables - Rilegato

Clogg, Clifford C.; Shihadeh, Edward S.

Rilegato

ISBN 10: 0803936761 ISBN 13: 9780803936768

Casa editrice: Sage Pubns, 1994

Riassunto

"This book provides an outstanding introduction to. . . using association models developed primarily by Leo Goodman. . . . This well-written book provides a careful and generally clear introduction to association models. . . . the authors have achieved their aims well. They make a strong case for the usefulness of association models in a variety of applications. Clogg. . . and Shihadeh have provided sociologists with an introduction filled with wise advice about analyzing associations between ordinal variables." --Alan Agresti in Contemporary Sociology "This is a very useful book about. . . statistical models for ordinal variables. Reading this book. . . your reviewer was pleased to find a clear and succinct account explaining a variety of association models. . . . These models are the 'RC' models. . . . it is to statistical methods for the social sciences that this book. . . is aimed. . . . This is not a total beginner's book, however. . . and I thought the pace a little faster than leisurely. . . . a fine resource of clear description and explanation of the use of statistical models for ordinal data. . . ." --M. C. Jones in Journal of the Royal Statistical Society "This book is worthwhile reading for statisticians who have scattered training in ordinal data analysis and want to pull this training into a coherent overview. It is a fine supplement to other more mathematical books in the area. . . . After reading the book, the reader will have a clear understanding of the role of odds ratios in ordinal data analysis." --Technometrics "Includes a concise but clear review of criteria for assessing goodness-of-fit. . . . I found this volume an accessible unification of work in the area. I recommend it." --International Statistical Institute How should data involving response variables of many ordered categories be analyzed? What technique is the most useful in analyzing partially ordered variables regarded as dependent variables? Addressing these and other related concerns in social and survey research, this book carefully explores the statistical analysis of data involving dependent variables that can be coded into discrete, ordered categories. Through an analysis of ordinal variables, the authors cover the general procedures for assessing goodness-of-fit, review the independence model and the saturated model, define measures of association, demonstrate the logit version of the model and the jackknife method for contingency tables, and explain associated models for two-way tables as well as logit-type regression models.

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Recensione

" . . . a fine resource of clear description and explanation of the use of statistical models for ordinal data." 

(M.C. Jones Journal of the Royal Statistical Society)

Contenuti

Preliminaries
The Linear-by-Linear Interaction Model
Association Models for Two-Way Tables
The ANOAS Approach
Other Models for Two-Way Tables
Symmetry-Type Models
Multiple Dimensions of Association
Bivariate Association in Multiple Groups
Logit-Type Regression Models for Ordinal Dependent Variables

Dettagli dell'edizione

• Editore: Sage Pubns
• Data di pubblicazione: 1994
• Lingua: Inglese
• ISBN 10: 0803936761
• ISBN 13: 9780803936768
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 199
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile