Table 9.

Regression of Validation Measures From Initial Data Collection Onto EAP Scores (Sample 1).

IF-CR EAP Scores
Outcome	Predictor	N	Adj. R2 or AIC	b	SE	t-value
Frequency of Alcohol Use	Single-Factor EAP	522	<.01	−0.10	0.05	−1.86
# of Alcoholic Drinks Per Day	Single-Factor EAP	522	1417.20	−0.13	0.04	−3.56*
Cognitive Impulsivity	Single-Factor EAP	522	.51	−6.29	0.27	−23.12*
Behavioral Impulsivity	Single-Factor EAP	522	.42	−4.43	0.23	−19.41*
# of Lifetime Arrests	Single-Factor EAP	521	970.93	−0.29	0.07	−3.85*
# of Lifetime Traffic Accidents	Single-Factor EAP	521	1570.70	−0.12	0.04	−2.74*
2FIC-CR EAP Scores
Outcome	Predictor	N	Adj. R2 or AIC	b	SE	t-value
Frequency of Alcohol Use	Factor 1 EAP	522	.02	−0.40	0.13	−3.19*
	Factor 2 EAP			0.32	0.13	2.49*
# of Alcoholic Drinks Per Day	Factor 1 EAP	522	1415.60	−0.24	0.09	−2.85*
	Factor 2 EAP			0.12	0.09	1.35
Cognitive Impulsivity	Factor 1 EAP	522	.55	0.39	0.62	0.62
	Factor 2 EAP			−6.93	0.63	−10.96*
Behavioral Impulsivity	Factor 1 EAP	522	.44	−0.43	0.54	−0.81
	Factor 2 EAP			−4.13	0.55	−7.52*
# of Lifetime Arrests	Factor 1 EAP	521	972.86	−0.21	0.17	−1.25
	Factor 2 EAP			−0.08	0.17	−0.44
# of Lifetime Traffic Accidents	Factor 1 EAP	521	1568.60	−0.26	0.10	−2.63*
	Factor 2 EAP			0.14	0.10	1.44

Note: EAP = expected a posteriori; SE = standard error; 1F-CR = one-factor model with three residual covariances; 2FIC-CR = two-factor model with independent clustering and three residual covariances. Poisson regression used for all count outcomes (AIC reported for Poisson regression instead of adjusted R²).

^*p < .05.