Dimensions of driving-related emotions and behaviors: An exploratory factor analysis of common self-report measures

Accid Anal Prev. 2019 Mar:124:85-91. doi: 10.1016/j.aap.2019.01.004. Epub 2019 Jan 9.

Abstract

Objective: A wide variety of driving self-report measures are purported to assess drivers' behaviors and emotions. However, little is known about the underlying factor structure of these measures. This study examined the factor structure of several self-report measures frequently utilized in the assessment of driving-related behaviors and emotions.

Design: Cohort survey in a large sample (n = 287) of young adults (mean age = 19.91 years, SD = 1.65).

Results: Exploratory factor analysis revealed a four-factor structure that included reckless driving behaviors, negative driving-related emotions, aggressive driving behaviors in response to perceived transgressions from other drivers, and perceived aggressive driving behaviors from other drivers. Aggressive driving behaviors not performed in response to other drivers loaded onto both aggressive driving-related factors.

Conclusions: The factor structure derived in the present study suggests considerable overlap in the content across commonly administered driving self-reports, while also suggesting four distinct dimensions of self-reported driving emotions and behaviors. Whereas some of these dimensions have been explored considerably in the literature (e.g., negative emotions), others deserve further exploration (e.g., perceived aggressive driving behaviors from other drivers). Implications for clinical practice and future investigations are discussed.

Keywords: Accident risk; Driving; Factor analysis.

MeSH terms

  • Aggressive Driving / psychology*
  • Aggressive Driving / statistics & numerical data
  • Cohort Studies
  • Emotions*
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Male
  • Risk-Taking*
  • Self Report
  • Surveys and Questionnaires
  • Young Adult