Objective: To determine if WAIS-IV Index scores are predictive of driving errors on a driving simulator. Method: Data selected from a de-identified database belonging to the Neuropsychological Assessment Center, containing assessments from people with various psychological, neuropsychological disorders, and normative samples. Sample was 192 participants, primarily female (53.9%) with an average of 15 years of education. Patient's demographic, driving information, VCI, PRI, WMI, and PSI were utilized in four regression models with collisions, tickets, and lane excursions, and total errors as the dependent variable. Results: VCI was found to be significant predictor of tickets [F(10, 182) = 2.70, p = .016, R2 = .111, t = -2.965,p = .003]. VCI, PRI, PSI, and WMI all predicted lane excursions [F(10, 182) = 3.677,p < .001,R2 = .168], however no individual predictor was significant at the .05 level. Finally, VCI and PSI predicted total errors [F(10, 182) = 2.73, p = .004,...

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