Driving Tests: Reliability and the Relationship Between Test Errors and Accidents

Baughan, C J; Sexton, B

doi:10.17077/drivingassessment.1053

Cited by 3 publications

(3 citation statements)

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“…Moreover, Baughan and Sexton (2001) found a strong predictive relationship between faults on the driving test and crash risk once the effects of age, mileage and driving in the dark (all being risk factors) were statistically adjusted for. In conclusion, the relation between test success and crash risk appears to be rather complex and dependent on several personal factors as well.…”

Section: Validity Of the On-road Driving Testmentioning

confidence: 93%

Relationships between driving simulator performance and driving test results

et al. 2009

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This article is considered relevant because: 1) car driving is an everyday and safety-critical task; 2) simulators are used to an increasing extent for driver training (related topics: training, virtual reality, human-machine interaction); 3) the article addresses relationships between performance in the simulator and driving test results--a relevant topic for those involved in driver training and the virtual reality industries; 4) this article provides new insights about individual differences in young drivers' behaviour. Simulators are being used to an increasing extent for driver training, allowing for the possibility of collecting objective data on driver proficiency under standardised conditions. However, relatively little is known about how learner drivers' simulator measures relate to on-road driving. This study proposes a theoretical framework that quantifies driver proficiency in terms of speed of task execution, violations and errors. This study investigated the relationships between these three measures of learner drivers' (n=804) proficiency during initial simulation-based training and the result of the driving test on the road, occurring an average of 6 months later. A higher chance of passing the driving test the first time was associated with making fewer steering errors on the simulator and could be predicted in regression analysis with a correlation of 0.18. Additionally, in accordance with the theoretical framework, a shorter duration of on-road training corresponded with faster task execution, fewer violations and fewer steering errors (predictive correlation 0.45). It is recommended that researchers conduct more large-scale studies into the reliability and validity of simulator measures and on-road driving tests.

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Section: Validity Of the On-road Driving Testmentioning

confidence: 93%

Relationships between driving simulator performance and driving test results

et al. 2009

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“…However, driving instructor ratings are known to have low testretest reliability (e.g. Baughan and Sexton 2001), and strong positive correlations with the DBQ are therefore not to be expected.…”

Section: Correlations Between the Dbq And Recorded Violations/errorsmentioning

confidence: 99%

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

2015

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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. Practitioner Summary: The DBQ is probably the most widely used self-report questionnaire in driver behaviour research. This study shows that DBQ violations and errors correlate moderately with self-reported traffic accidents.

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“…Moreover, Baughan and Sexton (2001) found a strong predictive relationship between faults on the driving test and crash risk once the effects of age, mileage, and driving in the dark (all being risk factors) were statistically adjusted for. In conclusion, the relation between test success and crash risk appears to be rather complex and dependent on several personal factors.…”

Section: Validity Of the On-road Driving Testmentioning

confidence: 93%