Rank-ordering anti-speeding messages
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Prendergast, S
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Abstract
Purpos: Further explore the utility of protection motivation theory (PMT) in developing effective roadside anti-speeding messages.
Method: Via an electronic link, 81 participants holding a current Australian driver’s license rated all possible pairs of 18 PMT-derived anti-speeding messages in terms of their perceived effectiveness in reducing speed for themselves, and for drivers in general.
Results: While some messages revealed third-person effects (perceived as being more relevant to drivers-in-general than to self-as-driver), others showed reverse third-person effects (perceived as being more relevant to self-as-driver than to drivers-in-general). Compared with messages based on coping appraisal components, those derived from threat appraisal PMT components (perceived severity, counter-rewards, vulnerability) were rated as being more effective, both for participants themselves as driver, and for drivers-in-general. Compared with females, males reported threat appraisal messages as being more effective for reducing speed in themselves (reverse third-person effect). Aggregate scores for the 18 messages derived from this ipsative methodology correlated modestly with those from a normative study using similarly-worded items.
Discussion: As jurisdictions globally recognize speeding as a major road safety issue, effective anti-speeding campaigns are essential. Findings added to current knowledge of PMT’s efficacy as a basis for generating effective anti-speeding messages and indicated areas for future research and application.
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Accident Analysis and Prevention
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132
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© 2019 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
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Health services and systems
Public health
Psychology
Coping appraisal
Ipsative methodology
Message effectiveness
Protection motivation theory
Speeding behavior
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Glendon, AI; Prendergast, S, Rank-ordering anti-speeding messages, Accident Analysis and Prevention, 2019, 132, pp. 105254: 1-105254: 13