Peter Barraclough

TL;DR: Methodological factors and dissemination bias have inflated the published effect sizes of the Manchester Driver Behaviour Questionnaire, and strong evidence of various artefactual effects is apparent.

TL;DR: A meta-analysis of studies which had used measures of personality which could be converted into Big Five dimensions, and traffic accidents as the dependent variable, was undertaken by as mentioned in this paper, who found that tests of personality are weak predictors of traffic accident involvement, compared to other variables such as previous accidents.

TL;DR: Evidence emerged suggesting the strength of this correlation between crashes and traffic offences is decreasing over time, and a within country analysis found stronger effect sizes in self-reported data even controlling for crash mean.

TL;DR: This paper investigated the efficacy of such proxy definitions for attributing fatigue/sleepiness as a causal factor in road traffic incidents (RTIs) and found that the proxy measures appear best suited to identifying specific subsets of such RTIs, in particular those RTIs that occur in urban areas and at slow speeds.

TL;DR: In this article, the authors re-analysed studies on prediction of accident involvement from DBQ factors, including lapses, and many unpublished effects, and concluded that the true effect is probably very close to zero (r<.07) for violations versus traffic accident involvement, depending upon which systematic tendencies in the data are controlled for.