Table 2.

Summary of the Parameter Estimates in the Latent Growth Model (N = 110)

	Estimate	SE	P
Regression weights
Intercept	−.174	.083	.036
Slope	−.004	.003	.159
Condition × Intercept	.124	.117	.291
Condition × Slope	.001	.004	.884
Variances
D1	.104	.012	***
D2	.104	.012	***
D3	.104	.012	***
U0	.309	.048	***
U1	.000
Covariance
U0 ↔ U1	.000

Note. Condition = control or experimental group; Intercept = baseline log alcohol use index; Slope = change log alcohol use index. Both the variance U1 and the covariance between U0 and U1 were fixed at 0 to make the model admissible, hence that they do not have a standard error or p value.

^***p < .001.