Table 2.

Multilevel Modeling to Test Wave 1 Actor and Partner Behavior on Health-Harming Behaviors at Wave 2

Model	Measures	Delinquency	Alcohol	Smoking	Marijuana
Main effects	Intercept	−3 .01 (−12.37,6.34)	−2.22 (−10.07,5.63)	19.75 (−9.00,48.51)	0.78 (−8.21,9.78)
	Actor behavior	3 .99 (1.79,6.19)^***	0.55 (0.31,0.79)^***	0.68 (0.55,0.80)^***	−13.27 (−17.22, −9.31)^***
	Partner behavior	0.01 (−0.09,0.10)	0.10 (−0.05,0.25)	0.22 (0.10,0.35)^***	0.69 (−2.68,4.06)
	Gender	0.11 (−0.96,1.17)	−0.48 (−2.11,1.15)	−0.15 (−4.23,3.94)	0.22 (−0.92,1.36)
	Actor age	−0.16 (−0.78,0.46)	0.08 (−0.36,0.53)	−0.72 (−2.76,1.33)	0.08 (−0.52,0.68)
	Partner age	0.37 (−0.26,0.99)	0.14 (−0.31,0.58)	−0.35 (−2.40,1.69)	−0.12 (−0.73,0.48)
Age Interactions	Actor behavior X A age¹	−0.06 (−0.18,0.05)	-	-	0.65 (0.44,0.86)^***
	Partner behavior X A age²	−0.15 (−0.26, −0.04)^**	-	-	−0.26 (−0.44, −0.07)^***
	Actor behavior X P age¹	-	-	-	0.28 (0.08,0.48)^***
	Partner behavior X P age²	-	-	-	0.22 (0.02,0.42)^*
Gender interactions	Actor behavior X gender	-	− 0.03 (−0.33,0.27)	-	− 0.93 (−1.45, −0.40)^***
	Partner behavior X gender	-	0.32 (0.02,0.63)^*	-	1.01 (0.48,1.53)^***
Dyad interactions	Dyad similarity	-	-	-	-
	Dyad interaction	-	-	-	-

Note. Beta coefficients and 95% confidence interval reported; underline = p < .10,

= p < .05,

^**

= p < .01,

^***

p < .001;

A age = Actor age,

P age = Partner age