We also used logistic regression analyses to examine the association of alcohol dependence to each internalizing diagnosis relative to the total count of internalizing disorders for which a given individual met diagnostic criteria. First, the count and diagnosis variables were entered separately to determine their zero-order association (i.e., odds ratio) with alcohol dependence. Next, models were tested in which the count variable was entered simultaneously with each specific diagnostic variable. This approach allowed us to distinguish predictive variance that is unique versus redundant for the count index and each specific internalizing diagnosis. As with latent models, sex and age were entered as covariates when testing all logistic models.
