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Psychometric Examination and Validation of the Aggressive Driving Scale (ADS)

机译:积极驾驶量表(ADS)的心理测验和验证

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摘要

Aggressive driving behavior is an important cause of traffic accidents. Based on the recent view that aggressive driving is one way that trait aggression manifests itself, a growing research area has focused on the development of scales to assess aggressive driving. The aggressive driving scale (ADS) analyzed in the present study consists of 24 items. A sample of 276 participants was analyzed to obtain the factor structure and reliability of the ADS and 67 of them participated in the behavioral experiment in order to examine the construct and predictive validity of the scale. Results indicated a 3-factor structure (interference with other drivers, violations/risk taking, and anger/aggression expression behavior) with high item loadings. The ADS had high internal consistency and test-retest reliability. Construct validity of the ADS was established as the ADS subscale scores correlated significantly with trait measures of anger and aggression. Predictive validity of the ADS was verified as most items were significantly correlated with behavioral measures derived from a driving simulator. The ADS was a significant predictor of behavioral measures both in the simulated environment (i.e., frequency of driving off the road, red light running behavior, frequency of colliding with a vehicle, frequency and distance of over speeding, frequency and distance of central crossing) and reported real world situations (i.e., annual moving violations and accidents). These results suggest that the ADS is a reliable and valid tool in evaluating aggressive driving behavior as the current study provides behavioral support for the effectiveness of the ADS in measuring aggressive driving behavior. (C) 2016 Wiley Periodicals, Inc.
机译:激进的驾驶行为是交通事故的重要原因。基于最近的观点,积极驾驶是特质攻击表现出来的一种方式,一个不断发展的研究领域集中在评估积极驾驶的量表的开发上。本研究中分析的激进驾驶量表(ADS)包括24个项目。分析了276名参与者的样本,以获得ADS的因素结构和可靠性,其中67名参与者参加了行为实验,以检验量表的构造和预测有效性。结果表明,三要素结构(与其他驱动程序的干扰,违规/冒险行为和愤怒/攻击性表达行为)与高项目负载。 ADS具有很高的内部一致性和重测可靠性。建立ADS的结构效度是因为ADS子量表得分与愤怒和侵略的特质度量显着相关。验证了ADS的预测有效性,因为大多数项目与来自驾驶模拟器的行为指标显着相关。 ADS是模拟环境中行为测量的重要预测指标(例如,越野驾驶的频率,红灯行驶行为,与车辆相撞的频率,超速的频率和距离,中央交叉口的频率和距离)并报告现实世界的情况(例如,年度移动违规和事故)。这些结果表明,ADS是评估攻击性驾驶行为的可靠且有效的工具,因为当前的研究为ADS在测量攻击性驾驶行为的有效性方面提供了行为支持。 (C)2016威利期刊公司

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