Statistical Models for Ordinal Variables

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.