Table 9.

Results of multilevel analysis: multiple moderation.

Model			9		10		11
Treatment effects			Est	SE	Est	SE	Est	SE
Fixed effects
	Intercept		6.80g	0.49	6.59g	0.58	6.65g	0.70
	Lineara		–0.81	0.85	–0.81	0.85	–0.83	0.85
	Quadraticb		0.29	0.55	0.29	0.55	0.29	0.55
	Cubicc		–0.03	0.07	–0.03	0.07	–0.03	0.07
Predictors
	Treatmentd		–0.45	0.51	–0.09	0.83	–0.58	0.95
	Treatment×linear		–3.45g	1.28	–3.45g	1.28	–3.27g	1.28
	Treatment×quadratic		2.23g	0.84	2.23g	0.84	2.23g	0.83
	Treatment×cubic		–0.28g	0.11	–0.28g	0.11	–0.28g	0.11
	Gendere		1.07g	0.42	1.37g	0.57	1.81g	0.71
	Age		–0.04g	0.02	–0.08g	0.03	–0.08g	0.03
	Educationf		–0.47	0.35	–0.47	0.49	–1.39g	0.60
	Treatment×gender				–0.48	0.81	–0.23	1.01
	Treatment×age				0.07	0.04	0.05	0.04
	Treatment×education				0.02	0.72	0.68	0.87
	Linear×gender						–0.16	0.15
	Linear×age						0.00	0.01
	Linear×education						0.34	0.14
	Linear×treatment×gender						–0.09	0.22
	Linear×treatment×age						0.01	0.01
	Linear×treatment×education						–0.24	0.21
Random effects
	σ2 within participants		10.29g	0.57	10.28g	0.57	10.10g	0.59
	σ2 between participants
		Intercept	6.02g	1.00	5.93g	0.98	5.81g	1.00
		Intercept, slope	–0.25	0.14	–0.27	0.14	–0.19	0.16
		Slope	0.01	0.00	0.01	0.00	0.01	0.01
Model fit indexes
	AIC		5665.48		5665.09		5676.43
	–2LL (χ2)		5635.48		5629.09		5604.43
	R 2 (level 1)		0.06		0.06		0.07

^aLinear: 0 = baseline, 1 = 1 month, 2 = 2 months, 6 = 6 months.

^bQuadratic: 0 = baseline, 1 = 1 month, 4 = 2 months, 36 = 6 months.

^cCubic: 0 = baseline, 1 = 1 month, 8 = 2 months, 216 = 6 months.

^dTreatment: 0 = control group, 1 = LS group.

^eGender: 0 = male, 1 = female.

^fEducation: 0 = ≤1-3 years of college/university, 1 = ≥4-5 years of college/university.

^g P<.05.