Table 1.

Model Fit Statistics from Unadjusted and Adjusted Latent Growth Models

		χ2(df)	CFI (TLI)	RMSEA (CI)
Unadjusted Model
	Alcohol (Alc)	192.14(45)***	.92(.90)	.044(.037-.050)
	Cigarette (Cig)	198.82(45)***	.95(.93)	.040(.034-.045)
	Marijuana (Mj)	54.92(26)**	.98(.97)	.023(.014-.032)
Adjusted Model
	Alcohol (Alc)	100.19(74)*	.97(.97)	.022(.001-.03)
	Cigarette (Cig)	161.72(74)*	.95(.94)	.032(.026-.039)
	Marijuana (Mj)	151.14(74)***	.92(.89)	.032(.025-.040)

Notes. Indices of model fit were examined in both the unadjusted and adjusted models in the prediction of substance use initiation within each substance use domain. Unadjusted models consisted of models that did not control for the effects of covariates (e.g., sex [0=female, 1=male], age, ethnicity [0=Non-Hispanic White, 1=Hispanic], living situation [number of parents residing most of the time with the participants – coded 0=Mother and Father; 1=Other], peer drinking [how many of participants’ five closest friends use a substance], and parents’ level of education [0=parents did not complete some college; 1=one parent completed some college; 2=both parents completed some college]). Adjusted models consisted of models that controlled for the effects of covariates.

^***p<.001

^**p<.01

^*p<.05.