Predicting driver safety: a methodology for small samples

Bowen, Louise ORCID: https://orcid.org/0000-0002-5856-0225 and Smith, Andrew P. ORCID: https://orcid.org/0000-0001-8805-8028 2021. Predicting driver safety: a methodology for small samples. Presented at: Chartered Institute of Ergonomics & Human Factors Annual Conference (CIEHF 2021), Virtual, 26-29 April 2021. Published in: Charles, Rebecca and Golightly, David eds. Contemporary Ergonomics and Human Factors 2021. Leicester: Chartered Institute of Ergonomics and Human Factors, pp. 163-169.

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Abstract

Research suggests that driver safety is reduced by driver fatigue, risk-taking and inappropriate driver behaviour. These effects can be combined to produce a single strong predictor. The present study examined whether this approach was sensitive enough to detect effects in a small sample (N = 103) who had a low annual mileage (about 5000 miles). The study identified correlated attributes of the main predictors and examined whether these added to the model. The results confirmed the predictive power of driver fatigue, risk-taking and inappropriate driver behaviour. They also showed that the effects of other correlated variables did not add to the predictive power of the model. Other important features of the approach included the development and use of short measuring instruments, adjustment for the social desirability bias and use of an outcome measure combining road traffic collisions and near misses.

Item Type:	Conference or Workshop Item - published (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Psychology
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Publisher:	Chartered Institute of Ergonomics and Human Factors
ISBN:	9781999652739
Date of First Compliant Deposit:	23 February 2026
Last Modified:	23 Feb 2026 11:27
URI:	https://orca.cardiff.ac.uk/id/eprint/140812

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