Table 4.

Logistic Regression to Determine Driving Errors as Predictors of On-Road Pass–Fail Outcomes

Driving Errors	OR	CI: Lower	CI: Upper	Significance
Visual scanning	6.486	1.657	25.391	.007
Signaling	5.758	1.445	22.952	.013
Vehicle positioning	5.005	1.291	19.408	.020
Speed regulation	3.404	1.166	9.934	.025
Adjustment to stimuli	3.456	0.795	15.036	.098
Gap acceptance	2.621	0.325	21.159	.366
Lane maintenance	2.472	0.966	6.324	.059
Yielding	1.826	0.612	5.450	.280
Total errors	0.208	0.063	0.689	.010
Model summary	−2 log likelihood = 41.554, Nagelkerke R2 =.771, p = .064 Hosmer & Lemeshow χ2 = 5.997, N = 99, p = .648

Note. CI = 95% confidence interval; OR = odds ratio.