Real or Imagined? A Study Exploring the Existence of Common Method Variance Effects in Road Safety Research

Open Access
Conference Proceedings
Authors: Peter BarracloughAnders af Wåhlberg*James FreemanJeremy DaveyBarry Watson

Abstract: Common method variance (CMV) has received little attention within the field of road safety research despite a heavy reliance on self-report data. Two surveys were completed by 214 motorists over a two-month period, allowing associations between social desirability and key road safety variables and relationships between scales across the two survey waves to be examined. Social desirability was found to have a strong negative correlation with the Driver Behaviour Questionnaire (DBQ) sub-scales as well as age, but not with crashes and offences. Drivers who scored higher on the social desirability scale were also less likely to report aberrant driving behaviours as measured by the DBQ. Controlling for social desirability did not substantially alter the predictive relationship between the DBQ and the crash and offences variables. The strength of the correlations within and between the two waves were also compared with the results strongly suggesting that effects associated with CMV were present. Identification of CMV would be enhanced by the replication of this study with a larger sample size and comparing self-report data with official sources.

Keywords: Social Desirability, Common Method Variance, Self-Report, Road Safety

DOI: 10.54941/ahfe100633

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