Table 2.

Regression results examining alcohol variables as a function of drinking identity IAT, trait self-control, and alcohol self-control

Predictor	B	SE B	Wald χ2 or t
Alcohol consumption
Logistic portion of model
Gender	-0.33	0.42	0.62
Drinking identity IAT	-7.87	7.58	1.08
Trait self-control	0.11	0.31	0.12
Alcohol self-control	9.91	4.47	4.91*
Trait Self-Control × IAT	1.08	0.82	1.74
Alcohol Self-Control × IAT	6.34	6.89	0.85
Counts portion of model
Gender	-0.36	0.11	10.32**
Drinking identity IAT	0.64	0.15	18.33***
Trait self-control	-0.23	0.09	6.53*
Alcohol self-control	-0.14	0.04	11.37***
Trait Self-Control × IAT	0.37	0.21	3.00
Alcohol Self-Control × IAT	-0.08	0.10	0.62
Alcohol problems
Logistic portion of model
Gender	-0.86	0.59	2.08
Drinking identity IAT	-7.88	5.45	2.09
Trait self-control	1.74	0.57	9.35**
Alcohol self-control	6.39	2.90	4.84*
Trait Self-Control × IAT	3.02	1.30	5.39*
Alcohol Self-Control × IAT	5.52	4.95	1.25
Counts portion of model
Gender	-0.07	0.13	0.32
Drinking identity IAT	0.24	0.19	1.63
Trait self-control	-0.39	0.11	12.23***
Alcohol self-control	-0.28	0.05	37.01***
Trait Self-Control × IAT	-0.22	0.27	0.65
Alcohol Self-Control × IAT	0.12	0.11	1.26
Alcohol cravings
Gender	-0.62	1.05	-0.59
Drinking identity IAT	4.63	1.37	3.39**
Trait self-control	-3.36	0.82	-4.08***
Alcohol self-control	-2.03	0.37	-5.53***
Trait Self-Control × IAT	-4.82	2.05	-2.39*
Alcohol Self-Control × IAT	1.07	0.94	1.13

Notes: All predictors other than gender were grand-mean centered. Gender was included as a covariate and was dummy coded, 0 = male, 1 = female. Alcohol consumption and problems models used zero-inflated regression models with a negative binomial log link. Alcohol cravings used ordinary least squares regression. IAT = Implicit Association Test.

^*p < .05;

^**p < .01;

^***p < .001.