Table 3.

Individual (Between-subjects) and Event-level (Within-subjects) Correlations

Measure	1.	2.	3.	4.	5.	6.
1. Alcohol Use	--	.78***	.94***	.10***	−.01	.01
2. DDD	.06	--	.88***	.09***	.02**	−.02**
3. 3-Level Drinking	.74***	.31***	--	.07***	.01	−.01*
4. Marijuana use	.24**	−.01	−.10	--	.05***	.18***
5. Drug use	−.09	.06	−.04	.09	--	.13***
6. Cigarettes per day	−.03	.03	−.07	.23**	.19*	--

Note. Upper diagonal represents correlations at the daily level (within-subjects) and bottom diagonal represents correlations collapsed across individuals (between-subjects). For correlations across individuals, alcohol, marijuana, drug, and cigarette use were summed for each individuals across 180 TLFB days, DDD = Drinks per Drinking Day. 3-Level Drinking = categorical drinking variable for no drinking, moderate drinking (1–4/3 drinks for men/women), or heavy drinking (≥5/4 drinks for men/women). Marijuana Use = Dichotomous (0/1) any marijuana use, Alcohol Use = Dichotomous (0/1) any alcohol use; Drug Use = Dichotomous (0/1) for any other illicit drug use. For correlations between two binary variables (Alcohol use, any Marijuana use, Drug Use, Cigarette use), spearman rank coefficients were used; for all other correlations, Pearson correlations were calculated.

^*p < .05;

^**p < .01,

^***p < .001.