Table 1. 2-part Latent Growth Curve Model Results: Univariate and Multivariate Prediction.

Predictors	Binge Frequency		Binge Intensity
Univariate Models	Intercept (S.E.)	Slope (S.E.)	Intercept (S.E.)
Gender	-0.088 (0.178)	-0.007 (0.005)	-0.005 (0.005)
Family History	0.072 (0.200)	-0.003 (0.005)	0.012 (0.006)
Student Status	-0.091 (0.202)	-0.003 (0.006)	0.009 (0.006)
AEQ Total	3.196** (0.426)	0.018 (0.013)	0.030 (0.014)
ZKPQ Impulsivity-Sensation Seeking	0.909** (0.194)	0.002 (0.006)	0.030** (0.006)
ZKPQ Neuroticism-Anxiety	0.068 (0.367)	0.001 (0.009)	-0.001 (0.012)
ZKPQ Aggression-Hostility	1.394* (0.412)	0.001 (0.011)	0.030 (0.012)
ZKPQ Sociability	1.964** (0.419)	0.018 (0.012)	0.042* (0.013)
ZKPQ Activity	-0.042 (0.419)	-0.008 (0.011)	0.024 (0.013)
Multivariate Model
AEQ Total	2.596** (0.449)	0.016 (0.013)	0.011 (0.015)
ZKPQ Impulsivity-Sensation Seeking	0.338 (0.208)	-0.001 (0.006)	0.024* (0.007)
ZKPQ Aggression-Hostility	0.541 (0.406)	0.000 (0.012)	0.013 (0.013)
ZKPQ Sociability	1.505** (0.423)	0.018 (0.012)	0.026 (0.014)

Notes. Intercept and slope estimates are unstandardized with standard errors in parentheses. Univariate analyses refer to each predictor separately. The multivariate analysis included all predictors simultaneously (p<.01). S.E.=standard error; AEQ=Alcohol Expectancy Questionnaire; ZKPQ=Zuckerman Kuhlman Personality Questionnaire.

^*p<.01;

^**p<.001.