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9780803943766 Academic Inspection Copy

Ordinal Log-Linear Models

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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 the fit of the models, how alternative models compare and odds ratios. Additionally, statistical computer software packages that can be used to estimate these models are presented.
INTRODUCTION Ordinal Measures Log-Linear Models for Nominal Variables A Review ORDINAL LOG-LINEAR MODELS Row Effects Models Column Effects Models Uniform Association Models Assignment of Scores Row and Column Effects Models Odds Ratios for Two-Way Tables Summary Ordinal Log-Linear Models for Higher-Ordered Tables Multidimensional Log-Multiplicative Models Odds Ratios for Three-Way Log-Linear Models Summary Selection for Ordinal Log-Linear Models Advantages of Using Ordinal Log-Linear Models Summary CONCLUSION
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