A quarter of a century of the DBQ: some supplementary notes on its validity with regard to accidents

Journal Article (2015)
Author(s)

J.C.F. De Winter (TU Delft - Medical Instruments & Bio-Inspired Technology)

D Dodou (TU Delft - Medical Instruments & Bio-Inspired Technology)

NA Stanton (External organisation)

Research Group
Medical Instruments & Bio-Inspired Technology
Copyright
© 2015 J.C.F. de Winter, D. Dodou, NA Stanton
DOI related publication
https://doi.org/10.1080/00140139.2015.1030460
More Info
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Publication Year
2015
Language
English
Copyright
© 2015 J.C.F. de Winter, D. Dodou, NA Stanton
Research Group
Medical Instruments & Bio-Inspired Technology
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Issue number
10
Volume number
58
Pages (from-to)
1745-1769
Reuse Rights

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Abstract

This article synthesises the latest information on the relationship between the Driver Behaviour Questionnaire (DBQ) and accidents. We show by means of computer simulation that correlations with accidents are necessarily small because accidents are rare events. An updated meta-analysis on the zero-order correlations between the DBQ and self-reported accidents yielded an overall r of .13 (fixed-effect and random-effects models) for violations (57,480 participants; 67 samples) and .09 (fixed-effect and random-effects models) for errors (66,028 participants; 56 samples). An analysis of a previously published DBQ dataset (975 participants) showed that by aggregating across four measurement occasions, the correlation coefficient with self-reported accidents increased from .14 to .24 for violations and from .11 to .19 for errors. Our meta-analysis also showed that DBQ violations (r = .24; 6353 participants; 20 samples) but not DBQ errors (r = − .08; 1086 participants; 16 samples) correlated with recorded vehicle speed.

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