The association models, appropriate for the analysis of ordinal contingency tables, are
presented for two-way and multi-way contingency tables. Their features, properties, and the …

A generalized ordinal association model for two-way contingency tables is obtained by
using the Box-Cox family of power transformations to scale the interaction between row and …

The row effects and column effects models for two-way contingency tables have parameters
for the row and column categories pertaining to the association between the variables. For …

Consider the two-dimensional contingency table having one or both variables are ordinal. In
such cases various models exist such that the row effects model, the column effects model …

Goodman (1985) discusses a class of models for the R× R contingency table with a one-to-
one correspondence between the row and column variables. The most restrictive model in …

The aim of this article was to compare Pearson's Chi-square to Uniform (U), Column (C),
Row (R), and R+ C ordinal contingency tables models. Data on gender, university attended …

A class of models is introduced for the analysis of group differences in the association
between two discrete variables. The RC (M) association model for two-way tables is …

The focus of this book is on models for contingency table analysis. It deals mainly with log-
linear models and special models for ordinal data (log-linear or nonlinear). Special models …

Issues discussed in Chap. 2 for two-way tables are extended to multi-way contingency
tables. Emphasis is given to clarifying the concepts of partial and marginal association …

The RC (1) association model (Goodman, 1979) has contributed toward the analysis of
association in two-way contingency tables. Let X «be ordinal categori cal variates having …