
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Association Models
About this book
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.
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Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Contents
- 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 Models for Three-Way Tables
- 5. Practical Applications of Association Models
- 6. Conclusions
- References
- Author Index
- Subject Index