Table 2.
Hierarchical Multiple Linear Regression Examining the Predicting Factors of an Increased Engagement in Drink Driving during COVID Restrictions: Survey 1 (n = 276).
Variables | M(SD) | β | p | B | sr2 |
---|---|---|---|---|---|
Step 1 | |||||
Age | 35.32(16.24) | −0.162 | 0.007** | −0.007 | 0.026 |
Step 2 | |||||
Drink driving (P)a | 1.32(0.71) | 0.271 | 0.000*** | 0.267 | 0.040 |
Drive after 1–2 drinks (P)a | 1.79(1.02) | 0.114 | 0.051 | 0.078 | 0.010 |
Certainty - general (P)a | 3.51(1.29) | 0.088 | 0.134 | 0.048 | 0.006 |
Certainty - personal (P)a | 3.64(1.31) | −0.035 | 0.553 | −0.019 | 0.001 |
Drink driving frequency (P)a: | |||||
Pubs/clubs | 1.14(0.50) | 0.108 | 0.137 | 0.150 | 0.006 |
Restaurants | 1.13(0.45) | 0.033 | 0.639 | 0.051 | 0.001 |
Friend’s/Family’s place | 1.26(0.65) | 0.020 | 0.795 | 0.021 | 0.000 |
Home | 1.15(0.49) | 0.150 | 0.030* | 0.214 | 0.012 |
Knowledge of RBT suspensionb | 1.36(0.48) | −0.014 | 0.781 | −0.021 | 0.000 |
Others likely to increase drink driving (D)a | 4.27(1.27) | 0.081 | 0.139 | 0.045 | 0.006 |
Note. B = unstandardised B. BCa = bias corrected and accelerated bootstrap. CI = confidence interval. sr2 = semi partial correlation squared.
D = during COVID lockdown. P = prior to COVID lockdown (in the past 12 months).
*p < .05. **p < .01. ***p < .001.
Measured on a 6-point scale.
Yes = 1. No = 2.