Chunk #15 — Methods — Statistical analyses

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Childhood interpersonal violence and adult alcohol, cannabis, and tobacco use disorders: variation by race/ethnicity?

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All analyses were conducted in Mplus version 7.4 (©Muthén & Muthén, 1998–2015), with all estimates, weights, and standard errors adjusted for the complex sample design of the NESARC survey. Missing data were addressed via full-information maximum likelihood. A model (Fig. 1) that assessed the main effects of three types of childhood IPV (physical abuse, sexual abuse, witnessing parental violence, and their covariance) on three substance use disorders (AUD, CUD, TUD, and their covariance) was evaluated. All models included the following covariates: age, gender, race/ethnicity, household income, employment status, level of education, and marital status (N: 36 073, Number of Free Parameters (NP): 30, Loglikelihood (LL): −47 820.55,Akaike’s Information Criterion [AIC; (Akaike, 1976)]: 95 701.011, Bayesian Information Criterion (BIC): 9596.006). Secondary models also included parental alcohol and drug use problems and participants’ comorbid MDD, GAD, ASPD, adult trauma exposure, and PTSD (N: 36 073, NP: 45, LL: −46 164.835, AIC: 92 421.670, BIC: 92 804.163). Tertiary models included multiplicative interactions among race/ethnicity, gender, and each type of childhood IPV (i.e. race/ethnicity × IPV; gender × IPV; race/ethnicity × gender × IPV)