Presents log-linear methods for ordinal data, known as association models, which take ordinality of variables into account and provide flexible and parsimonious modeling tool to study family behavior and interaction. Explains uniform association model and applies it to nationally representative data to examine how ordinal scale of marital happiness is related to other ordinal variables. (Author/NB)