On the bivariate normal distribution and association models for ordinal categorical data

Abstract

The uniform association model and a linear-by-linear association model with "normal scores" are compared to probability distributions generated by partitioning the bivariate normal distribution. The association models are shown to be indistinguishable from their respective bivariate normal models when the dimensions of the contingency table are large. Exact calculations are used for making comparisons in small tables.