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. Author manuscript; available in PMC: 2015 Jun 1.
Published in final edited form as: Psychol Addict Behav. 2013 Nov 25;28(2):553–558. doi: 10.1037/a0034743

Table 2.

Multiple regression models predicting post-sanction drinking behavior while controlling for pre-sanction behavior

Model Outcome Variables

DDD DPW Peak Drinks Peak BAC

Model Predictors B B B B
Time since sanction .009 .037** .044*** .001***
Pre-sanction drinking .707*** .679*** .659*** .618***
Descriptive norms .031** .073* .042* .001*
Injunctive norms .373** 1.086** .469* .010*
Past 30-day consequences .015 −.069 .042 .002*
Gender .066 .367 −.108 −.014*
Descriptive x Gender −.017 .004 −.035 −.001
Injunctive x Gender .369 −.059 .087 −.006
Consequences x Gender −.097 −.013 .056 .002

F 77.64*** 116.05*** 90.87*** 73.19***
Adj R2 .51 .61 .55 .50

Note: DDD = drinks per drinking day; DPW = drinks per week; Peak Drinks = peak drinks per drinking day; peak BAC = peak BAC per drinking day;

***

p<.001,

**

p<.01,

*

p<.05;

Models for all outcomes other than BAC (N=650) were run using the full sample (N=658)