Table 4.

Fit indices and estimates for covariate-adjusted parallel process models of cannabis use and motivation indices.

	AIC	SABIC	i1 ←→ i2 r	i2 → s1 ß	i1 → s2 ß	s2 → s1 ß	i1←→s1 r	i2←→s2 r
CU & Apathy	17986.08	18011.76	.14	−.17	−.22	.23	.12	.03
CU & Disengagement	19430.83	19455.81	.16	−.21	−.003	.11	−.02	.02
CU & Persistence	19614.03	19639.00	−.06	−.05	−.02	.06	−.37*	.01
CU & Planning	19693.84	19718.82	−.16	.34	.13	−.40	−.13	.03
CU & Self-Efficacy	19362.962	19387.94	−.08	−.04	.25	−.12	−.15	.02
CU & Valuing School	19610.89	19637.38	−.16*	.22	.08	−.14	−.33	.03

^**p < .001,

^*p <.05.

All estimates are presented in standardized metric.

Note: CU = cannabis use; df = degrees of freedom; CFI = Comparative Fit Index; RMSEA = Root Mean Square Error of Approximation; AIC = Akaike Information Criterion; SABIC = Sample-size Adjusted Bayesian Information Criterion; i1 = motivation index intercept; s1 = motivation index slope; i2 = cannabis use intercept; s2 = cannabis use slope