Table 3.
Path analysis predicting driving outcomes from impulsivity-like traits controlling for gender and age
| Driving Errors |
Driving Lapses |
Driving Violations |
Cell Phone Driving |
Traffic Citation |
Traffic Collision |
|||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| β | p | Β | p | β | p | β | p | β | p | β | p | |
| Perseverance | .04 | .589 | −.00 | .978 | .09 | .227 | .07 | .357 | −.09 | .300 | −.02 | .823 |
| Premeditation | −.06 | .366 | .06 | .378 | −.07 | .344 | −.05 | .516 | .00 | .963 | .13 | .114 |
| Sensation Seeking | −.07 | .286 | −.03 | .605 | .06 | .332 | .10 | .147 | .14 | .074 | .08 | .271 |
| Positive Urgency | .44 | <.001 | .21 | .023 | .19 | .041 | −.04 | .701 | −.26 | .014 | .00 | .972 |
| Negative Urgency | −.04 | .618 | .15 | .096 | .18 | .045 | .23 | .012 | .14 | .167 | .16 | .137 |
| Gender | .04 | .484 | .01 | .904 | .10 | .110 | −.06 | .329 | .07 | .354 | −.02 | .779 |
| Driving Exposure | −.07 | .246 | −.11 | .065 | .04 | .530 | .03 | .668 | .13 | .071 | .08 | .238 |
| Driving Experience | −.12 | .213 | .11 | .300 | −.05 | .606 | .25 | .014 | .41 | .001 | .41 | .001 |
| Age | .01 | .950 | .12 | .256 | −.04 | .674 | −.33 | .001 | −.07 | .607 | −.12 | .349 |
Note. Significant effects (p < .05) are in boldtype face for emphasis. Gender was dummy-coded (0 = women, 1 = men).