Skip to main content
. Author manuscript; available in PMC: 2010 Jun 17.
Published in final edited form as: Addict Behav. 2008 Nov 24;34(4):352–359. doi: 10.1016/j.addbeh.2008.11.011

Table 4.

Regression results for alcohol related consequences as a function of demographics, athletic identity, and descriptive norms for typical students and athletes

Predictor B Std. error β t d
Step 1: R2=.398***
Gendera –0.853 0.240 –0.084 –3.549*** 0.215
Campusb 0.405 0.268 0.037 1.512 0.091
Ethnicityc –0.109 0.319 –0.008 –0.343 0.021
Weekly drinking 0.489 0.018 0.638 26.820*** 1.621
Step 2: R2=.399, R2 Δ=.001
Athletic identity –0.154 0.150 –0.025 –1.030 0.062
Step 3: R2= .399, R2 Δ=.000
Norm: college student 0.002 0.012 0.005 0.173 0.010
Norm: college athlete 0.011 0.016 0.018 0.669 0.040
Step 4: R2=.425***, R2 Δ=.030
Gender×athletic identity –0.394 0.305 –0.040 –1.293 0.078
Weekly drinking×gender –0.108 0.037 –0.119 –2.943** 0.178
Weekly drinking×athletic identity –0.110 0.022 –0.146 –5.021*** 0.304
Step 5: R2=.434***, R2 Δ=.010
Gender×weekly drinking×athletic ID –0.193 0.045 –0.204 –4.282*** 0.260

Note. B=Unstandardized coefficient. β=Standardized coefficient (beta). d=effect size estimate.

***

p<.001.

**

p<.01.

* p<.05.

a

Gender was coded Female=0, Male=1.

b

Campus was coded Rural=0, Urban=1.

c

Ethnicity was coded Non-Caucasian=0, Caucasian=1.