Offers readers invaluable guidance on handling cross-classified data
Broadening the scope of association models beyond the typical sociological and psychological fields, author Raymond S. Wong shows readers how to analyze and comprehend any social science data presented in cross-classified formats. Through a careful exposition of various association models, the text examines the underlying structure of odds-ratios, offering a unified framework for students and researchers in the process.
Rich illustrative examples (from data generated by the General Social Survey and other sources) demonstrate why and how association models are a better option than conventional log-linear models or non-parametric specifications.
This resource is appropriate for graduate students and researchers across the social and behavioral sciences who need to chose and apply the appropriate statistical tools to decipher and interpret cross-classified data.
Inhaltsverzeichnis
About the Author
Series Editor′s Introduction
Preface
1. Introduction
2. Association Models in Two-Way Tables
3. Partial Association Models for Three-Way Tables
4. Conditional Association Modesl for Three-Way Tables
5. Practical Applications of Association Models
6. Conclusions
References
Author Index
Subject Index
Über den Autor
Raymond Sin-Kwok Wong is Professor of Sociology at the University of California-Santa Barbara and Head and Professor in the Division of Social Science at the Hong Kong University of Science and Technology. His areas of research interests include inequality and social stratification, sociology of education, comparative research, quantitative methodology, and economic sociology. His most recent book, Chinese Entrepreneurship in a Global Era, is an edited volume published by Routledge in 2008.
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