Table 4.
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.
Gender was coded Female=0, Male=1.
Campus was coded Rural=0, Urban=1.
Ethnicity was coded Non-Caucasian=0, Caucasian=1.