کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
571879 877326 2016 11 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
The incremental validity of the dark triad in predicting driving aggression
ترجمه فارسی عنوان
اعتبار افزایشی سه گانه تاریک در پیش بینی پرخاشگری رانندگی
کلمات کلیدی
شخصیت های سه گانه تاریک؛ دامنه شخصیت؛ پرخاشگری رانندگی؛ اعتبار افزایشی. تجزیه و تحلیل میانجیگری؛ طبقه بندی پنج عامل بزرگ
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بهداشت و امنیت شیمی
چکیده انگلیسی


• All the Dark Triad traits were related to aggressive driving behavior in both Study 1 and Study 2.
• The Dark Triad predicted driving aggression after the effects of the Big five personality factors were controlled.
• Psychopathy was the strongest predictor of driving aggression in both Study 1 and Study 2.
• Machiavellianism and Psychopathy mediated the relationship between Emotional Stability, Agreeableness, Conscientiousness on one hand and aggressive driving on the other hand.

This research tested the association between the Dark Triad and driving aggression as well as the incremental validity of the Dark Triad in predicting aggressive driving and the mediation role of the Dark Triad in the relationship between Big Five personality factors and aggressive driving. 274 undergraduate students in Study 1 and 95 amateur drivers in Study 2 completed measures of the Dark Triad (Machiavellianism, Narcissism and Psychopathy), the Big Five personality factors and the aggressive driving expression. Results showed that all the Dark Triad traits were related to aggressive driving behavior in both Study 1 and Study 2 and that the Dark Triad predicted driving aggression after the effect of the Big five personality factors was controlled, with Psychopathy being the strongest predictor of driving aggression in both Study 1 and Study 2. Machiavellianism and Psychopathy mediated the relationship between Emotional Stability, Agreeableness, Conscientiousness on one hand and aggressive driving on the other hand.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Accident Analysis & Prevention - Volume 96, November 2016, Pages 1–11
نویسندگان
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