. Author manuscript; available in PMC: 2010 May 12.

Published in final edited form as: J Consult Clin Psychol. 2009 Feb;77(1):1–11. doi: 10.1037/a0012996

Table 2.

Intercepts, Slopes, and Model Fit Indexes for the Unconditional and Conditional Models

Model	Intercept (SE)	Slope (SE)	Model Fit Index
Unconditional Model			χ² = 5.13, df = 5, p = .40; CFI = .92; RMSEA = .01
Substance use
M	.32^* (.06)	.20^* (.05)
Variance	.34^* (.13)	.16^* (.07)
Conditional Models (including control variables)
Model 1			χ² = 19.83, df = 15, p = .18; CFI = .96; RMSEA = .05
5-HTTLPR status	−.05 (.10)	.21^* (.09)
Model 2			χ² = 21.55, df = 17, p = .20; CFI = .97; RMSEA = .04
5-HTTLPR status	−.07 (.11)	.19^* (.09)
Involved-supportive parenting	−.02 (.33)	−.02 (.02)
Model 3			χ² = 23.55, df = 19, p = .21; CFI = .97; RMSEA = .04
5-HTTLPR status	−.07 (.11)	.19^* (.09)
Involved-supportive parenting	−.02 (.05)	−.02 (.03)
5-HTTLPR status × involved-supportive parenting	.01 (.05)	−.07^* (.03)

Note. Coefficients are standardized. SE: standard error.

p < .05.