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The Manchester Driver Behaviour Questionnaire as predictor of road traffic accidents

By Anders E. af Wahlberg, Lisa Dorn and T. Kline

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

Topics: DBQ, questionnaire, traffic accident, crash, driver, common method variance
Publisher: Taylor & Francis
Year: 2011
DOI identifier: 10.1080/14639220903023376
OAI identifier: oai:dspace.lib.cranfield.ac.uk:1826/6465
Provided by: Cranfield CERES
Journal:

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