Logistic Regression Models for Ordinal Response Variables provides applied researchers in the social, educational, and behavioral sciences with an accessible and comprehensive coverage of analyses for ordinal outcomes. The content builds on a review of logistic regression, and extends to details of
Ordinal Log-Linear Models (Quantitative Applications in the Social Sciences)
โ Scribed by Masako Ishii-Kuntz
- Publisher
- Sage Publications, Inc
- Year
- 1994
- Tongue
- English
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
What log-linear models can social scientists use to examine categorical variables whose attributes may be logically rank-ordered? In this book, the author presents a technique that is often overlooked but highly advantageous when dealing with such ordered variables as social class, political ideology and life satisfaction attitudes. Beginning with an introduction to the concept and measurement of ordinal models and a brief review of nominal log-linear analysis, the book provides a detailed description of the various ordinal models, including row effects, column effects, uniform association and uniform interaction models. Each model is illustrated with data from the National Survey of Families and Households, with which Ishii-Kuntz discusses
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