Objective: To determine whether WCST, Category Test (CaT), Stroop, Trail Making Test, and CPT-II predict attentional mistakes on STISIM driving simulator. Method: Data from 213 participants (44.9% male; 59.7% Caucasian) was collected from a de-identified neuropsychology database in a South Florida community clinic representing normal adults. Participants age averaged 28.88 years (SD = 11.923), with an average education of 15.43 years (SD = 2.086). Hierarchical linear regression was used to model the influence of demographic factors, FSIQ, CaT, WCST, Stroop, Trails, and CPT-II on total number of attentional mistakes on STISIM driving simulator. Results: Statistically significant (α = .01) results were obtained for the full model of demographics, FSIQ, WCST, CaT, Trails, Stroop, and CPT-II, F(39,173) = 2.729, p < .001, adjusted R2 = .241. Significant predictors of driving attentional mistakes within the model included WCST Total Errors (B = 1.1676; SE = .603; p = .006) and CPT Hit...

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