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Please use this identifier to cite or link to this item: http://dspace.lib.cranfield.ac.uk/handle/1826/6465

Document Type: Article
Title: The Manchester Driver Behaviour Questionnaire as predictor of road traffic accidents
Authors: af Wahlberg, Anders E.
Dorn, Lisa
Kline, T.
Issue Date: 2011
Citation: A. af W√•hlberga, L. Dorn & T. Kline, The Manchester Driver Behaviour Questionnaire as predictor of road traffic accidents, Theoretical Issues in Ergonomics Science, Volume 12, Issue 1, 2011, Pages 66-86.
Abstract: The Driver Behaviour Questionnaire (DBQ) has mainly been used as predictor of self-reported road traffic accidents. The associations between crashes and the violation and error factors of the DBQ however, may be spuriously high due to reporting bias. In the present study, the DBQ was tested as predictor of self- reported and recorded accidents in four samples of private and professional drivers. The findings show that the DBQ scale only predicts self-reported accidents, not recorded crashes, despite the higher validity of company data, and the higher means of the recorded data across these samples. The results can be explained by a common method variance bias. In our review of the DBQ research, the use of the instrument was found to be heterogeneous concerning the number of items, scales used, and factor analytic methods applied. Thus, the DBQ may not be as homogenous and as successful in predicting accidents as is often claimed.
URI: http://dx.doi.org/10.1080/14639220903023376
Appears in Collections:Staff publications - School of Engineering

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