. Author manuscript; available in PMC: 2020 Aug 1.

Published in final edited form as: Prev Sci. 2019 Aug;20(6):852–862. doi: 10.1007/s11121-019-00994-7

Table 2.

Logistic Regression Analysis Employing Inverse Probability Weights

Family Domain
Component Content	1^st Drunkenness		1^st Cigarette Use		1^st Marijuana Use
	B (SE)	OR	B (SE)	OR	B (SE)	OR
Model 1
Parental Monitoring and Behavior Management	−0.17^* (.07)	0.85	−0.13 (.07)	0.87	−0.22^*** (.06)	0.80
Model 2
Positive Family Relationships	−0.09^* (.04)	0.92	−0.05 (.05)	0.96	−0.11^* (.05)	0.90
Model 3
Problem Solving	−0.05 (.07)	0.96	−0.07 (.07)	0.93	−0.14^* (.07)	0.87
Individual Domain
Component Content	1^st Drunkenness		1^st Cigarette Use		1^st Marijuana Use
	B (SE)	OR	B (SE)	OR	B (SE)	OR
Model 1
Future Orientation	−0.12 (.11)	0.89	−0.04 (.10)	0.96	−0.16 (.08)	0.86
Model 2
Peer Resistance Skills	−0.08 (.08)	0.93	−0.09 (.08)	0.91	−0.17^* (.07)	0.85
Model 3
Self-Regulation and Stress Management	−0.24 (.15)	0.79	−0.34^* (.15)	0.71	−0.42^** (.13)	0.66

Note.

p < .05

^**

p < .01

^***

p < .001.

Each regression model was run individually. Unbalanced covariates were included in Parental Monitoring and Behavior Management, Positive Family Relationships, Problem Solving, Future Orientation and Peer Resistance Skills models for double robustness.