Sheila T D Cordazzo1, Charles T Scialfa2, Rachel Jones Ross3. 1. University of Calgary, Department of Psychology, 2500 University Drive, N.W., Calgary, Alberta, Canada T2N 1N4. Electronic address: scheilacordazzo@hotmail.com. 2. University of Calgary, Department of Psychology, 2500 University Drive, N.W., Calgary, Alberta, Canada T2N 1N4. Electronic address: scialfa@ucalgary.ca. 3. University of Calgary, Department of Psychology, 2500 University Drive, N.W., Calgary, Alberta, Canada T2N 1N4. Electronic address: rachel.jones.ross@icloud.com.
Abstract
INTRODUCTION: The current study builds on previous versions of the Driver Behaviour Questionnaire (DBQ) by incorporating a larger sample of driving behaviors targeting inattention, distraction, aggressive driving, and health related to aging. The goals of this study were to determine if the resulting factor structure was consistent with a more contemporary view of unsafe driving behaviors, and to determine whether scores on the factors could predict self-reported collisions and police citations. METHODS: The instrument was given to a sample of 3295 drivers ranging in age from 19 to 80+ years old. It was divided in two sections, the first to provide demographic information and driving history data and the second containing 105 driver behavior questions. RESULTS: An exploratory factor analysis resulted in a 65-item scale organized in four factors. The factors were labeled tentatively as Inattention Errors, Age-Related Problems, Distraction and Hurry, and Aggressive Violations. Regression analyses showed that the factors were predictors of self-reported, at-fault collisions and police citations. PRACTICAL IMPLICATIONS: The factor scores found in this research are consistent with a useful theoretical framework for understanding unsafe driver actions, and demonstrate some potential to identify several individual difference variables that predict self-reported collisions and citations.
INTRODUCTION: The current study builds on previous versions of the Driver Behaviour Questionnaire (DBQ) by incorporating a larger sample of driving behaviors targeting inattention, distraction, aggressive driving, and health related to aging. The goals of this study were to determine if the resulting factor structure was consistent with a more contemporary view of unsafe driving behaviors, and to determine whether scores on the factors could predict self-reported collisions and police citations. METHODS: The instrument was given to a sample of 3295 drivers ranging in age from 19 to 80+ years old. It was divided in two sections, the first to provide demographic information and driving history data and the second containing 105 driver behavior questions. RESULTS: An exploratory factor analysis resulted in a 65-item scale organized in four factors. The factors were labeled tentatively as Inattention Errors, Age-Related Problems, Distraction and Hurry, and Aggressive Violations. Regression analyses showed that the factors were predictors of self-reported, at-fault collisions and police citations. PRACTICAL IMPLICATIONS: The factor scores found in this research are consistent with a useful theoretical framework for understanding unsafe driver actions, and demonstrate some potential to identify several individual difference variables that predict self-reported collisions and citations.
Authors: Giuseppina Spano; Alessandro O Caffò; Antonella Lopez; Luca Mallia; Michael Gormley; Marco Innamorati; Fabio Lucidi; Andrea Bosco Journal: Front Psychol Date: 2019-02-21