Ordinal Log-Linear Models

by Masako Ishii-Kuntz

Overview

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

Product Details

ISBN-13:	9780803943766
Publisher:	SAGE Publications
Publication date:	01/11/1994
Series:	Quantitative Applications in the Social Sciences , #97
Edition description:	New Edition
Pages:	72
Product dimensions:	5.50(w) x 8.50(h) x 0.18(d)

Table of Contents

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