Table 2.

Negative Binomial Regression Models Predicting Alcohol Variables from Typical Student Stimulant Usage

	B	SE B	t	Cohen’s d
		Drinks per week
Gender	−0.48	0.08	−5.79***	0.36
Current residence	0.93	0.12	8.04***	0.50
Drinking normative perceptions	0.04	0.00	7.35***	0.46
MUPS normative perceptions	0.03	0.03	1.07	0.07
NMUPS normative perceptions	0.07	0.04	1.92†	0.12
		Alcohol-related Problems (RAPI)
Gender	−0.10	0.09	−1.09	0.07
Current residence	0.86	0.13	6.52***	0.41
Drinking normative perceptions	0.02	0.01	4.34***	0.27
MUPS normative perceptions	0.01	0.04	0.22	0.01
NMUPS normative perceptions	0.14	0.04	3.11**	0.19
		Risk for Alcohol Use Disorders (AUDIT)
Gender	−0.27	0.06	−4.74***	0.29
Living situation	0.68	0.08	8.52***	0.53
Drinking normative perceptions	0.01	0.00	4.38***	0.27
MUPS normative perceptions	0.02	0.02	1.00	0.06
NMUPS normative perceptions	0.07	0.03	2.65**	0.16

Note. Gender was coded 0 = men, 1 = women; living situation was coded 0 = not living in sorority/fraternity house, 1 = living in sorority/fraternity house MUPS/NMUPS = lifetime medical/non-medical use of a prescription stimulant. Cohen’s d = 2t/ √df. The regression models used generalized linear models with a negative binomial log link. Alcohol Problems = score on the Rutgers Alcohol Problem Index; AUDIT = scores on the Alcohol Use Disorders Identification Test.

^†p < .055.

^*p < .05.

^**p < .01.

^***p < .001.