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攻击性驾驶中的宽容、愤怒和敌意。

Forgivingness, anger, and hostility in aggressive driving.

机构信息

Department of Psychology, Comenius University in Bratislava, Bratislava, Slovakia.

出版信息

Accid Anal Prev. 2014 Jan;62:303-8. doi: 10.1016/j.aap.2013.10.017. Epub 2013 Oct 21.

Abstract

This study was aimed at investigating the relationship between trait forgivingness, general anger, hostility, driving anger, and self-reported aggressive driving committed by the driver him/herself ("self" scale) and perceiving him/herself as an object of other drivers' aggressive acts ("other" scale). The Slovak version of questionnaires was administrated to a sample of 612 Slovak and Czech drivers. First, the factor structure of the Driver Anger Indicators Scale (DAIS) was investigated. Factor analyses of the self and other parts of the DAIS resulted in two factors, which were named as aggressive warnings and hostile aggression and revenge. Next, the results showed that from all dependent variables (scales of the DAIS), self-reported aggressive warnings (self) on the road were predicted best by chosen person-related factors. The path model for aggressive warnings (self) suggested that trait forgivingness and general anger were fully mediated by driving anger whereas hostility proved to be a unique predictor of aggressive behavior in traffic. Driving anger was found to be the best predictor of perceptions that other drivers behave aggressively.

摘要

本研究旨在探讨特质宽恕、一般愤怒、敌意、驾驶愤怒与驾驶员自身(“自我”量表)和将自己视为其他驾驶员攻击行为对象(“他人”量表)的自我报告攻击性驾驶之间的关系。调查问卷的斯洛伐克版本被分发给 612 名斯洛伐克和捷克驾驶员样本。首先,研究考察了驾驶员愤怒指标量表(DAIS)的因子结构。对 DAIS 的自我和他人部分的因子分析产生了两个因子,分别命名为攻击性警告和敌意攻击与报复。其次,结果表明,在所有因变量(DAIS 量表)中,道路上的自我报告攻击性警告(自我)最好地由所选的人与因素预测。攻击性警告(自我)的路径模型表明,特质宽恕和一般愤怒完全由驾驶愤怒中介,而敌意被证明是交通中攻击性行为的独特预测因素。驾驶愤怒被发现是预测其他驾驶员行为具有攻击性的最佳指标。

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