Table 3.

MIMIC model results

Effects of Predictors on Latent Factors
	Negative Emotionality			Executive Function			Incentive Salience
Predictor	Estimate	S.E.	p-value	Estimate	S.E.	p-value	Estimate	S.E.	p-value
AUD Diagnosisa	0.641	0.105	<0.0001	0.923	0.083	<0.0001	1.507	0.073	<0.0001
Genderb	0.329	0.104	0.001	0.093	0.089	0.295	−0.069	0.079	0.381
Racec	−0.056	0.097	0.564	−0.377	0.085	<0.0001	−0.332	0.074	<0.0001
Age	−0.027	0.048	0.574	−0.055	0.045	0.22	0.002	0.042	0.966
Emotional Abuse	0.202	0.068	0.003	0.133	0.06	0.025	0.187	0.054	0.001
Physical Abuse	0.07	0.065	0.281	0.006	0.058	0.925	−0.067	0.054	0.219
Sexual Abuse	0.107	0.047	0.023	0.116	0.045	0.01	0.007	0.044	0.881
Emotional Neglect	0.19	0.072	0.008	0.014	0.063	0.821	−0.031	0.053	0.56
Physical Neglect	−0.072	0.068	0.293	0.066	0.062	0.28	0.067	0.048	0.159
Family History	0.043	0.049	0.382	0.088	0.044	0.044	0.07	0.035	0.049
Age at First Drink	−0.075	0.053	0.161	−0.109	0.044	0.014	−0.055	0.035	0.114
Significant Direct Effects of Predictors on Indicators
	Extraversion			Neuroticism			Agreeableness
Predictor	Estimate	S.E.	p-value	Estimate	S.E.	p-value	Estimate	S.E.	p-value
AUD a	0.447	0.134	0.001	--	--	--	--	--	--
Genderb	--	--	--	−0.401	0.092	<0.0001	−0.337	0.105	0.001
Age	--	--	--	--	--	--	0.212	0.054	<0.0001

Note: Estimates are standardized coefficients. Estimates, S.E., and p-values are bolded for significant predictors of each latent factor.

^aCurrent AUD: 0 = no, 1 = yes

^bGender: 0 = male, 1 = female

^cRace: 0 = white/Caucasian, 1 = black/other