Implicit Evaluations About Driving Skills Predicting Driving Performance

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Date

2018

Authors

Bıçaksız, Pinar
Harma, Mehmet
Doğruyol, Burak
Lajunen, Timo
Özkan, Türker

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science

Open Access Color

Green Open Access

Yes

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0

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2

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No
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Average
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Top 10%

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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. Ninetyone 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. (C) 2018 Elsevier Ltd. All rights reserved.

Description

Keywords

Measurement of driving skills, Implicit evaluations, Computer-based tests, Driver behaviors, Measurement of driving skills, Driver behaviors, Computer-based tests, Implicit evaluations

Fields of Science

0502 economics and business, 05 social sciences, 0501 psychology and cognitive sciences

Citation

WoS Q

Q1

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OpenCitations Citation Count
8

Source

Transportation Research Part F: Traffic Psychology and Behaviour

Volume

54

Issue

Start Page

357

End Page

366
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Scopus : 12

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Mendeley Readers : 30

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12

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Web of Science™ Citations

9

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6

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1.89186774

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3

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