The primary objective of the article is an introduction to the logit model and its use in methods for modeling the relationships between a dichotomous dependent variable and a set of independent categorical variables. the logit model is viewed here as a special case of the log-linear approach. The deviation and polynomial contrasts are explained as to their interpretational meaning. Examples from migration studies are used to illustrate model-selecting strategies and quantitative outputs.