A Survey of Strategies for Modeling Cross-Classifications Having Ordinal Variables

Abstract

A survey is given of the main strategies for modeling cross-classifications that contain ordinal variables. Models are described for two-way tables in which one or both classifications are ordered and for multidimensional tables in which at least one classification is ordered. Primary emphasis is given to construction, interpretation, and implications of loglinear and logit models.