Age, gender, mileage and the DBQ: The validity of the Driver Behavior Questionnaire in different driver groups


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Martinussen L. M., Hakamies-Blomqvist L., Moller M., ÖZKAN T., Lajunen T.

ACCIDENT ANALYSIS AND PREVENTION, vol.52, pp.228-236, 2013 (SSCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 52
  • Publication Date: 2013
  • Doi Number: 10.1016/j.aap.2012.12.036
  • Journal Name: ACCIDENT ANALYSIS AND PREVENTION
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.228-236
  • Keywords: Driver Behavior Questionnaire (DBQ), Factor structure, Gender, Age, Mileage, ABERRANT DRIVING BEHAVIOR, VIOLATIONS, ERRORS, PERSONALITY, DIMENSIONS, ACCIDENTS, ROADS
  • Middle East Technical University Affiliated: Yes

Abstract

The Driver Behavior Questionnaire (DBQ) is one of the most widely used instruments for measuring self-reported driving behaviors. Despite the popularity of the DBQ, the applicability of the DBQ in different driver groups has remained mostly unexamined. The present study measured aberrant driving behavior using the original DBQ (Reason, J.T., Manstead, A., Stradling, S.G., Baxter, J., Campbell, K., 1990. Errors and violations on the road - a real distinction. Ergonomics, 33 (10/11), 1315-1332) to test the factorial validity and reliability of the instrument across different subgroups of Danish drivers. The survey was conducted among 11,004 Danish driving license holders of whom 2250 male and 2190 female drivers completed the questionnaire containing background variables and the DBQ. Exploratory and confirmatory factor analysis showed that the original three-factor solution, a four-factor solution and a two-factor solution had acceptable fit when using the whole sample. However, fit indices of these solutions varied across subgroups. The presents study illustrates that both the original DBQ and a Danish four-factor DBQ structure is relatively stable across subgroups, indicating factorial validity and reliability of the DBQ. However, as the Danish DBQ structure has an overall better fit, the present study highlights the importance of performing an explorative analysis when applying the DBQ in order to assess the problem areas within a driving population. (C) 2013 Elsevier Ltd. All rights reserved.