Driver Behaviour Questionnaire: a follow-up study

Accid Anal Prev. 2006 Mar;38(2):386-95. doi: 10.1016/j.aap.2005.10.012. Epub 2005 Nov 28.

Abstract

The aim of the present study was to investigate time-across stability of different factor solutions (two to six factors) of the Driver Behaviour Questionnaire (DBQ) and to examine the changes on self-reported driving pattern in a follow-up sample (n=622) after three years of the first responses. Repeated measures ANOVA indicated that there was a significant change between Time 1 and Time 2 scores in six items of the DBQ. Drivers reported less competitiveness while driving at Time 2 but more speeding, drinking and driving, driving to wrong destinations and having no recollection of the road just travelled. Significant Time x Sex x Age interactions were found in change scores of four items. Young males and middle-aged female drivers emerged as a group of drivers who changed their self-reported driving pattern over three years. Additionally, sex, age or both had main effects on scores of 21 items. Males and young drivers reported more violations than females and older drivers, whereas female drivers reported more errors and lapses. After running possible factor solutions with Tucker's Phi agreement coefficients, the results indicated that the four- and two-factor solutions were the most stable and interpretable ones. The two-factor solution showed better time-across stability than the four-factor structure did, although the factor solutions found at Time 1 and Time 2 were not as identical as expected. Separate analysis revealed that drivers who had high annual mileage at Time 1 and Time 2 showed the strongest two-factor time-across stability. The test-retest reliability was 0.50 for errors, 0.76 for violations and 0.61 for the whole scale.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Analysis of Variance
  • Automobile Driving / psychology*
  • Automobile Driving / statistics & numerical data
  • Behavior*
  • Factor Analysis, Statistical
  • Female
  • Finland
  • Follow-Up Studies
  • Humans
  • Male
  • Middle Aged
  • Reproducibility of Results
  • Self-Assessment*
  • Sex Factors
  • Surveys and Questionnaires