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Personality domains and traits that predict self-reported aberrant driving behaviours in a southeastern US university sample

Beanland, Vanessa; Sellbom, Martin; Johnson, Alexandria

Description

Personality traits are meaningful predictors of many significant life outcomes, including mortality. Several studies have investigated the relationship between specific personality traits and driving behaviours, e.g., aggression and speeding, in an attempt to identify traits associated with elevated crash risk. These studies, while valuable, are limited in that they examine only a narrow range of personality constructs and thus do not necessarily reveal which traits in constellation best...[Show more]

dc.contributor.authorBeanland, Vanessa
dc.contributor.authorSellbom, Martin
dc.contributor.authorJohnson, Alexandria
dc.date.accessioned2015-12-13T22:28:36Z
dc.identifier.issn0001-4575
dc.identifier.urihttp://hdl.handle.net/1885/74271
dc.description.abstractPersonality traits are meaningful predictors of many significant life outcomes, including mortality. Several studies have investigated the relationship between specific personality traits and driving behaviours, e.g., aggression and speeding, in an attempt to identify traits associated with elevated crash risk. These studies, while valuable, are limited in that they examine only a narrow range of personality constructs and thus do not necessarily reveal which traits in constellation best predict aberrant driving behaviours. The primary aim of this study was to use a comprehensive measure of personality to investigate which personality traits are most predictive of four types of aberrant driving behaviour (Aggressive Violations, Ordinary Violations, Errors, Lapses) as indicated by the Manchester Driver Behaviour Questionnaire (DBQ). We recruited 285 young adults (67% female) from a university in the southeastern US. They completed self-report questionnaires including the DBQ and the Personality Inventory for DSM-5, which indexes 5 broad personality domains (Antagonism, Detachment, Disinhibition, Negative Affectivity, Psychoticism) and 25 specific trait facets. Confirmatory factor analysis showed adequate evidence for the DBQ internal structure. Structural regression analyses revealed that the personality domains of Antagonism and Negative Affectivity best predicted both Aggressive Violations and Ordinary Violations, whereas the best predictors of both Errors and Lapses were Negative Affectivity, Disinhibition and to a lesser extent Antagonism. A more nuanced analysis of trait facets revealed that Hostility was the best predictor of Aggressive Violations; Risk-taking and Hostility of Ordinary Violations; Irresponsibility, Separation Insecurity and Attention Seeking of Errors; and Perseveration and Irresponsibility of Lapses.
dc.publisherElsevier
dc.sourceAccident Analysis and Prevention
dc.titlePersonality domains and traits that predict self-reported aberrant driving behaviours in a southeastern US university sample
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume72
dc.date.issued2014
local.identifier.absfor111700 - PUBLIC HEALTH AND HEALTH SERVICES
local.identifier.ariespublicationU3488905xPUB4040
local.type.statusPublished Version
local.contributor.affiliationBeanland, Vanessa, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationSellbom, Martin, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationJohnson, Alexandria, The University of Alabama
local.description.embargo2037-12-31
local.bibliographicCitation.startpage184
local.bibliographicCitation.lastpage192
local.identifier.doi10.1016/j.aap.2014.06.023
dc.date.updated2015-12-11T08:39:58Z
local.identifier.scopusID2-s2.0-84904963550
local.identifier.thomsonID000343843700019
CollectionsANU Research Publications

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