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驾驶愤怒表达量表简版的编制

Development of a short form of the driving anger expression inventory.

作者信息

Stephens Amanda N, Sullman Mark J M

机构信息

Monash University Accident Research Centre, Melbourne, Australia.

Driving Research Group, Cranfield University, UK.

出版信息

Accid Anal Prev. 2014 Nov;72:169-76. doi: 10.1016/j.aap.2014.06.021. Epub 2014 Jul 22.

Abstract

The present study developed a revised version of the driving anger expression inventory (25-items) and a short (15-item) version using data from 551 drivers. Split half factor analyses on both versions confirmed the original four factors; personal physical aggressive expression, use of a vehicle to express anger, verbal aggressive expression and adaptive/constructive expression. The two DAX versions were strongly correlated, demonstrating the suitability of both forms of the scale and the aggressive forms of expression were higher for drivers who reported initiating road rage interactions. Total aggressive expression was also higher for drivers who reported recent crash-related conditions, such as: loss of concentration, losing control of their vehicle, moving violations, near-misses and major crashes. The revised DAX and DAX-short provide shorter versions of the 49-item DAX that can more easily be combined with other questionnaires and require smaller sample sizes to analyse. Further research is required to validate these tools among different samples and populations.

摘要

本研究利用551名驾驶员的数据,开发了驾驶愤怒表达量表的修订版(25项)和简短版(15项)。对两个版本进行的分半因素分析证实了原来的四个因素:个人身体攻击表达、利用车辆表达愤怒、言语攻击表达以及适应性/建设性表达。两个驾驶愤怒表达量表版本高度相关,表明两种形式的量表都适用,且对于报告引发路怒互动的驾驶员来说,攻击性表达形式更高。对于报告近期与撞车相关情况(如注意力不集中、车辆失控、交通违规、险些相撞和严重撞车)的驾驶员,总的攻击性表达也更高。修订后的驾驶愤怒表达量表和简短版驾驶愤怒表达量表提供了49项驾驶愤怒表达量表的更短版本,它们可以更轻松地与其他问卷结合使用,并且分析所需的样本量更小。需要进一步研究以在不同样本和人群中验证这些工具。

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