Confirmatory factor analyses were performed in MPlus (version 8; (Muthen & Muthén, 1998–2017) to estimate factor scores for each group (EA adolescents, EA young adults, AA adolescents, AA young adults) using the weighted least square mean and variance adjusted (WLSMV) estimator for adolescents and robust maximum likelihood (MLR) estimator for young adults. WLSMV is a robust estimator that does not assume normally distributed variables and provides the best option for modeling a mix of categorical and continuous variables (Li, 2016). MLR is a robust estimator that also does not assume normally distributed variables and is the best option for continuous variables (Li, 2016). Factor models were specified by fixing latent factor means to 0 and variances to 1. Among the phenotypic indicators, 2.04% of data was missing for adolescents (1.69% for EA, 2.71% for AA) and 0.45% of data was missing for young adults (0.34% EA, 0.68% AA). For both adolescents (CFI: 0.865; RMSEA: 0.126, 95% CI 0.109–0.143; SRMSR: 0.106) and young adults (CFI: 0.884; RMSEA: 0.105, 95% CI 0.092–0.118; SRMSR: 0.081) the model fit statistics fell close to, but
