Data underlying the paper: Does morality predict aggressive driving? A conceptual analysis and exploratory empirical investigation

This dataset contains the data that were used for the analyses reported in the following published paper: van den Berg, T. G., Kroesen, M., &amp; Chorus, C. G. (2020). Does morality predict aggressive driving? A conceptual analysis and exploratory empirical investigation. <i>Transportation research part F: traffic psychology and behaviour</i>, <i>74</i>, 259-271.<br>In this study we investigated the relation between people's general moral values and level of aggressive driving behavior. We measured people's general moral values using the Moral Foundation Questionnaire (MFQ) (moralfoundations.org) and people's level of aggressive driving behavior by the Aggressive Driving Behavior Scale (ADBS) (Houston, Harris &amp; Norman, 2003). For entering the MFQ-items in the analysis we used the original 5 component structure that is given by the theoretical framework and computed sumscores for each of the 5 moral dimensions. These variables were included as the independent variables together with the control variables of age, gender, and education in a hierarchical linear regression model, where the control variables were entered first. For the ADBS-items, using principal component analysis, we found that our data produced a three component solution indicating three dimensions of aggressive driving: Speeding/ rushing; aggressive communication; thwarting. Somscores were computed for each variable and these were entered as the dependent variables in the linear regression model.

本数据集包含了下述已发表论文中报告分析所使用的数据：van den Berg, T. G., Kroesen, M. 与 Chorus, C. G.（2020）。《道德能否预测攻击性驾驶？一项概念分析与探索性实证研究》，《交通研究F辑：交通心理学与行为》，第74卷，第259-271页。
本研究探讨了个体一般性道德价值观与攻击性驾驶行为水平之间的关联。研究采用道德基础问卷（Moral Foundation Questionnaire, MFQ，来源：moralfoundations.org）测量个体的一般性道德价值观，通过攻击性驾驶行为量表（Aggressive Driving Behavior Scale, ADBS，Houston, Harris & Norman, 2003）评估个体的攻击性驾驶行为水平。
在对MFQ条目进行分析时，我们采用了理论框架所提出的原始五成分结构，并针对5个道德维度分别计算总分。上述5个道德维度的变量作为自变量，与年龄、性别、受教育程度这三个控制变量一同被纳入分层线性回归模型（hierarchical linear regression model），且模型中首先引入控制变量。
针对ADBS条目，我们通过主成分分析（principal component analysis）发现，本数据集得到了三成分解，对应攻击性驾驶的三个维度：超速/仓促驾驶、攻击性沟通、阻碍驾驶。随后针对各维度变量计算总分，并将其作为因变量纳入线性回归模型。