Statistical models for ordinal variables
著者
書誌事項
Statistical models for ordinal variables
（Advanced quantitative techniques in the social sciences, 4）
Sage Publications, c1994
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注記
Bibliography: p. 177-182
Includes indexes
内容説明・目次
内容説明
This volume demonstrates how data involving response variables of the many ordered categories can be analyzed, and what techniques would be most useful in analyzing partially ordered variables regarded as dependent variables.
The applications of new models and methods for the analysis of ordinal variables are emphasized and techniques outlined include: general procedures for assessing the goodness-of-fit; review of the independence model and saturated model; defining measures of association; demonstrating the logit versions of the model; and development of association models and logit-type models.
目次
Preliminaries
The Linear-by-Linear Interaction Model
Association Models for Two-Way Tables
The ANOAS Approach
Other Models for Two-Way Tables
Symmetry-Type Models
Multiple Dimensions of Association
Bivariate Association in Multiple Groups
Logit-Type Regression Models for Ordinal Dependent Variables
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