Implicit evaluations about driving skills predicting driving performance. (April 2018)

• Record Type: Journal Article
• Authors: Bıçaksız, Pınar; Harma, Mehmet; Doğruyol, Burak; Lajunen, Timo; Özkan, Türker
• Is Part Of: Transportation research. Volume 54(2018)
• Page Start: 357
• Page End: 366
• Publication Date: 2018-04
• Subjects: Measurement of driving skills -- Implicit evaluations -- Computer-based tests -- Driver behaviors; Automobile drivers -- Psychology -- Periodicals; Automobile driving -- Psychological aspects -- Periodicals; Transportation -- Psychological aspects -- Periodicals; 629.283019
• DOI: 10.1016/j.trf.2018.02.022
• Languages: English
• ISSNs: 1369-8478

Abstract

Highlights: First attempt to compare implicit and explicit measures of driving skills on computer-based tests. Implicit and explicit measures revealed different patterns of associations with the outcome variables. The interaction between implicit and explicit measures was significant on some of the outcome variables. Results indicated that measurement of implicit evaluations about driving skills are necessary and important. Abstract: Self-reported measures of driving skills have the potential shortcomings of the general self-report methodology such as social responding and self-enhancement biases. In the present study, the Implicit Association Test (IAT) procedure was adapted to measure the implicit evaluations of driving skills. The performance of IAT and an explicit, self-report measure of driving skills were compared in predicting driver behaviors and performance. Ninety-one Turkish male drivers participated in the study. The results showed that the implicit test and the self-reported driving skills scale showed different patterns of relationships with the outcome measures in the regression analyses. In addition, the implicit measure of driving skills moderated the relationship between self-reported driving skills and some of the outcome measures used in the current study. These results support the need to use the implicit measures in addition to self-report measures to better understand drivers evaluations of their driving skills, which has the potential to influence their risky driving.