In the present paper, we used Mplus Version 5.1 for the latent variable SEM analyses. The STRATIFICATION, CLUSTER and WEIGHT options of the VARIABLE commands were used to model the weighted NESARC data. In addition, the TYPE=COMPLEX option of the ANALYSIS command was used to conjunction with the aforementioned VARIABLE commands to correct the standard errors and chi square test of model fit since the NESARC data features an unequal probability of selection (e.g., an oversampling of both Black and Hispanic households as well as young adults). For all other analyses, we used SAS (v. 9.2). Specifically, PROC SURVEYFREQ was used to calculate Chi-square tests on categorical variables and PROC SURVEYLOGISTIC was used to calculate odds ratios and 95% CIs. All estimates incorporated adjustments (Taylor series linearization) for the complex survey design employed in the NESARC survey.
