Because race, ethnicity, and age were consistently related to misclassification of subjects, we conducted three hierarchical logistic regressions predicting the observed group. For each analysis, race (White vs. Non-White), ethnicity (Hispanic vs. Non-Hispanic), and age were entered on step 1 and the derived profile variable was entered on step 2. For the first analysis including the FAS and CON groups, race (OR = .39, CI = .22 – .69) and ethnicity (OR = .11, CI = .01 – .81) were both significantly associated with observed group. When the profile variable was entered, it was also significantly associated with observed group (OR = .08, CI = .04 – .18) and including the profile variable rendered race and ethnicity non-significant. In the second analysis including AE/Non-FAS and CON subjects, race (OR = .39, CI = .24 – .65) was significantly associated with observed group. When the profile variable was entered, it was also significantly associated with observed group (OR = .14, CI = .08–.27) and the entry of the profile variable rendered the covariate of race non-significant. For the third analysis, including
