The data most pertinent to testing study hypotheses are shown in columns 2 and 4 of Table 3. These ORs are from models in which individual diagnoses and the count variable are entered simultaneously into the logistic models. As can be seen for the 12-month diagnoses shown in the top half of column 2, the ORs for all diagnoses are substantially reduced once the count variable is in the model, with dysthymia and generalized anxiety disorder no longer statistically significant and the OR for social phobia becoming significantly less than 1; i.e., the presence of social phobia in a model where the count is known significantly predicts the absence of alcohol dependence. As with the SEM models, the few ORs that are less than 1 are small when compared to both standard effect size benchmarks and the magnitude of the ORs for the counts in the same equations. In this regard, the substantial positive (i.e., > 1) zero-order ORs for the 12-month count variables (bottom half of column 2) are nearly unchanged by the addition of any specific diagnosis to the model. A similar pattern is evident for the lifetime diagnoses shown in the top half of column 4.
