INFORMATION PROCESSING, PERSONALITY, AND DEMOGRAPHIC VARIABLES AS PREDICTORS OF CRASHES AND MOVING VIOLATIONS Chapter uri icon

abstract

  • The objective of the present research was to undertake a comparative and combined assessment of the three commonly used predictor categories of driving outcomes, namely demographic, information processing, and personality variables. Research participants (Study 1: n = 153; Study 2: n = 335) completed a predictor battery and a self-report measure of motor vehicle crashes and moving violations. Using a series of hierarchical regression analyses, the obtained results generally suggest that, consistent with the conceptual need to recognize the role of the "total" individual in driving-related behaviors, the use of multiple predictors from multiple predictor categories in the prediction of driving outcomes is empirically meaningful. As would be expected, this approach accounted for substantially more variance in the criteria than either any single predictor or individual predictor category would by itself. In addition, the findings particularly highlighted the importance of including multiple personality variables in models of driving outcomes. The implications of these findings and suggestions for future research are discussed. Information Processing, Personality, and Demographic Variables as Predictors of Crashes and Moving Violations. 2009 Nova Science Publishers, Inc. All rights reserved.

author list (cited authors)

  • Arthur, W., & Day, E. A.

complete list of authors

  • Arthur, Winfred||Day, Eric Anthony

Book Title

  • ACCIDENTS: CAUSES, ANALYSIS AND PREVENTION

publication date

  • January 2009