Logistic regression was then used to evaluate the association between the 2 latent profiles and a binary indicator variable representing the AE/FAS (coded 1) vs. the CON group (coded 0). The latent profile variable was significantly associated with group membership (OR = 0.10, CI = .05 to .18, p < .001), with significantly more individuals from the AE/FAS group in profile 1 and significantly more individuals from the CON group in profile 2. The profiles accounted for 76.1% accuracy of prediction in the two groups combined, with 77.2% accuracy in the AE/FAS group and 75.7% accuracy in the CON group.
