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

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

The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/13516841

Datacite citation style:

van den Berg, Tom; Chorus, Caspar; Kroesen, M. (Maarten) (2021): Data underlying the paper: Does morality predict aggressive driving? A conceptual analysis and exploratory empirical investigation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13516841.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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843

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277

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categories

keywords

Aggressive driving, Model of ethical decision making, moral decision making, Moral values, Risky driving

geolocation

Netherlands

time coverage

Begin: 1-12-2018 End: 31-1-2019

licence

CC0

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by Tom van den Berg

, Caspar Chorus

, M. (Maarten) Kroesen

This dataset contains the data that were used for the analyses reported in the following published paper: van den Berg, T. G., Kroesen, M., & Chorus, C. G. (2020). Does morality predict aggressive driving? A conceptual analysis and exploratory empirical investigation. Transportation research part F: traffic psychology and behaviour, 74, 259-271.

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 & 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.

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