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The Motorcycle Rider Behavior Questionnaire: Psychometric properties and application amongst novice riders in Australia
Institution:1. The George Institute for Global Health, School of Public Health, University of Sydney, Level 13, 321 Kent St, Sydney, NSW 2000, Australia;2. Transport and Road Safety Research, University of New South Wales, UNSW Sydney, NSW 2052, Australia;3. Neuroscience Research Australia, Barker Street, Randwick, NSW 2031, Australia;1. School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei 230009, Anhui, PR China;2. School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009, Anhui, PR China;3. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China;4. College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, PR China;5. School of Transportation Engineering, Tongji University, Shanghai 201804, PR China;6. Traffic Management Research Institute of the Ministry of Public Security, Wuxi 214000, Jiangsu, PR China;1. School of Engineering, Cochin University of Science and Technology, Kochi, 682022 Kerala, India;2. Division of Civil Engineering, School of Engineering, Cusat, Kochi 682022, India;1. Civil Engineering Programme, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor 43600, Malaysia;2. Smart and Sustainable Township Research Centre, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor 43600, Malaysia;1. Politeknik Sultan Mizan Zainal Abidin, 23000 Dungun, Terengganu, Malaysia;2. Queensland University of Technology (QUT), Centre for Accident Research and Road Safety – Queensland (CARRS-Q), 130 Victoria Park Road, Kelvin Grove, QLD 4059, Australia;3. Department of Industrial Engineering, Universidad del Norte, Km 5 via Puerto Colombia, Barranquilla, Colombia;1. Université de Lyon, IFSTTAR (TS2/LESCOT), 25, avenue François Mitterrand, 69675 Bron, France;2. Factum OG, Danhausergasse 6/4, 1040 Vienna, Austria;1. Monash University Accident Research Centre, Monash University, Australia;2. Harvard Injury Control Research Center, Harvard School of Public Health, United States
Abstract:The Motorcycle Rider Behavior Questionnaire (MRBQ) was developed to measure behavioral factors influencing motorcyclists’ crash risk including errors and violations as well as the use of motorcycle safety equipment via self-report. The aims of the present study were to (1) examine the previously examined psychometric properties of the MRBQ including the factor structure, internal consistency, and predictive validity in terms of self-reported crashes amongst experienced riders in the UK and Turkey; (2) examine the psychometric properties of the MRBQ not yet examined, including its stability, content validity, and predictive validity in terms of police-recorded crashes and offences as well as self-reported near crashes and crashes; and (3) assess the applicability of the MRBQ to a population of novice riders in Australia, to whom the MRBQ has not been applied to date. Novice riders (N = 1305) in the state of Victoria, Australia participated in the present study. Confirmatory factor analyses showed that the present data did not fit with the previously found factor models in experienced riders in the UK and Turkey. Principal axis factoring was performed to respecify the MRBQ factor model amongst novice riders and revealed four scales: errors; speed violations; stunts; and protective gear. The insufficient internal consistency, stability, content and predictive validity demonstrated by the MRBQ in the present study and some inconsistencies amongst the three MRBQ studies suggest that the development and refinement of the MRBQ items are required before wider use of the MRBQ instrument, especially amongst novice riders. Possible causes of the limited reliability and validity of the current MRBQ are discussed to inform further development and refinement of the items, thereby making the MRBQ more useful in future research to understand and evaluate riders’ behaviors.
Keywords:Motorcycle Rider Behavior Questionnaire  Validity  Reliability  Motorcycle crash  Traffic offence
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