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Abstract：
The Traffic Locus of Control scale (T-LOC) serves as a measure of drivers\' personality attributes, providing insights into their perceptions of potential causes of road traffic crashes (RTCs). This study meticulously evaluated the psychometric properties of the Arabic version of T-LOC (T-LOC-A) among Lebanese drivers. Additionally, the study aimed to explore associations between the T-LOC scale and various driving variables, including driver behavior, accident involvement, and traffic offenses. A cross-sectional study was conducted among Lebanese drivers using a face-to-face approach. The validation of the Arabic version of T-LOC (T-LOC-A) occurred through a two-stage process: translating and culturally adapting T-LOC in the first stage, and testing its psychometric properties in the second stage. Data were collected using a comprehensive self-reported questionnaire in Arabic, covering demographic and travel-related variables, risk involvement, and measures such as the Driver Behavior Questionnaire (DBQ) and T-LOC. Exploratory factor analysis and confirmatory factor analysis were performed to scrutinize the factorial structure of T-LOC. Pearson correlation and chi-square tests were used for continuous and categorical variables, respectively. Two logistic regression analyses were executed to probe associations between T-LOC and involvement in road traffic crashes (RTCs) and T-LOC subscales with the occurrence of traffic offenses. The study included 568 drivers, predominantly male (69%) and aged between 30 and 49 years (42.1%). The findings revealed that T-LOC-A exhibited robust psychometric properties, with excellent reliabilities (α = 0.85) and adherence to the original four-factor structure, encompassing self (α = 0.88), other drivers (α = 0.91), vehicle/environment (α = 0.86), and fate (α = 0.66). The multidimensional structure was statistically supported by favorable fit indices. Gender differences revealed men attributing responsibility to other drivers, while women leaned towards fate and luck beliefs. Regarding driver behavior, the \"other drivers\" and self-dimensions of T-LOC-A correlated positively with aggressive violations. The fate dimension showed positive associations with aggressive violations and lapses. The \"other drivers\" subscale correlated positively with errors, and the vehicle/environment subscale with lapses. External T-LOC factors were positively associated with accident involvement, while the \"LOC self\" factor emerged as a protective element. In terms of traffic offenses, \"LOC fate\" displayed a positive association, while the \"LOC self\" factor showed a protective effect. In conclusion, the Arabic T-LOC is a reliable and valuable instrument, suggesting potential improvements in driving safety by addressing drivers\' locus of control perceptions.
摘要：
交通控制轨迹量表(T-LOC)作为驾驶员人格属性的量度，深入了解他们对道路交通事故(RTC)潜在原因的看法。这项研究仔细评估了黎巴嫩驾驶员中阿拉伯语版本T-LOC（T-LOC-A）的心理测量特性。此外,本研究旨在探讨T-LOC量表与各种驱动变量之间的关联，包括司机的行为，事故参与,交通违法。使用面对面的方法对黎巴嫩驾驶员进行了横断面研究。T-LOC（T-LOC-A）的阿拉伯语版本的验证是通过两个阶段的过程进行的：在第一阶段翻译和文化上适应T-LOC，并在第二阶段测试其心理测量特性。数据是使用阿拉伯语的全面自我报告问卷收集的，涵盖人口统计和旅行相关变量，风险参与，以及驾驶员行为问卷(DBQ)和T-LOC等措施。进行探索性因素分析和验证性因素分析，以仔细检查T-LOC的因子结构。皮尔逊相关性和卡方检验用于连续变量和分类变量，分别。执行了两个逻辑回归分析，以探讨T-LOC与道路交通事故（RTC）和T-LOC分量表与交通违法行为发生之间的关联。这项研究包括568名司机，主要为男性（69％），年龄在30至49岁之间（42.1％）。研究结果表明，T-LOC-A表现出强大的心理测量特性，具有出色的可靠性（α=0.85）和对原始四因素结构的坚持，包含自我(α=0.88)，其他驱动因素(α=0.91)，车辆/环境（α=0.86），和命运（α=0.66）。多维结构在统计上得到了有利的拟合指数的支持。性别差异表明男性将责任归咎于其他司机，而女性倾向于命运和运气的信念。关于司机的行为，T-LOC-A的“其他驱动因素”和自我维度与侵犯行为呈正相关。命运维度显示出与侵略性侵犯和失误的正相关。“其他驱动因素”子量表与错误呈正相关，以及带有失效的车辆/环境分量表。外部T-LOC因素与事故参与呈正相关，而“LOC自我”因素则是一种保护元素。在交通违法方面，“LOC命运”显示出积极的关联，而“LOC自我”因子表现出保护作用。总之,阿拉伯语T-LOC是一种可靠且有价值的乐器，通过解决驾驶员对控制源的感知，提出驾驶安全的潜在改进。
