Extending MRBQ: development and preliminary psychometric evaluation of a multidimensional safety instrument for Malaysian school motorcyclists
DOI:
https://doi.org/10.55329/pnlr4910Keywords:
Motorcycle Rider Behaviour Questionnaire (MRBQ), Rasch measurement model, road safety, school motorcyclists, South-eastern Asia, low- and middle-income countries (LMICs)Abstract
Motorcycle-related crashes remain a critical road safety concern in Malaysia, particularly among school motorcyclists who face behavioural and contextual risks during their daily travel. Although the Motorcycle Rider Behaviour Questionnaire (MRBQ) provides an established foundation for assessing riding behaviour, its behavioural focus may not adequately represent the broader safety conditions experienced by school motorcyclists. This study aimed to develop and preliminarily evaluate a context-specific, multidimensional instrument for measuring motorcycle safety performance among Malaysian school motorcyclists, using the MRBQ as the behavioural foundation. Instrument development integrated evidence from a systematic literature review and focus group discussions involving road safety professionals and school stakeholders. The resulting 43-item questionnaire comprised four domains: User Behaviour, Vehicle Condition, Road Safety Knowledge and Emergency Preparedness, and Physical Environment. Expert evaluation demonstrated excellent content validity (S-CVI = 0.97). Preliminary psychometric evaluation was conducted among 163 school motorcyclists using separate Rasch analyses for each domain. Person reliability ranged from 0.70-0.79 and item reliability from 0.70–0.95, while person and item separation ranged from 1.54–1.96 and 1.51–4.23, respectively. All items demonstrated positive Point-Measure Correlations, although several showed fit statistics requiring further evaluation. Wright maps also revealed differences in person-item targeting across domains. Overall, the findings provide preliminary evidence supporting the instrument’s content relevance and measurement performance while identifying areas for further refinement. The instrument extends the behavioural foundation of the MRBQ by incorporating broader motorcycle safety performance domains relevant to Malaysian school motorcyclists.
Downloads
References
Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6, 149.
Bond, T. G., & Fox, C. M. (2015). Applying the Rasch model: Fundamental measurement in the human sciences, 3rd ed., Routledge.
Bui, H. T., Saadi, I., & Cools, M. (2020). Investigating on-road crash risk and traffic offences in Vietnam using the motorcycle rider behaviour questionnaire (MRBQ). Safety Science, 130, 104868.
Cheng, A. S.-K., & Ng, T. C.-K. (2010). Development of a Chinese Motorcycle Rider Driving Violation Questionnaire. Accident Analysis and Prevention, 42(4), 1250-1256.
Elliott, M. A., Baughan, C. J., & Sexton, B. F. (2007). Errors and violations in relation to motorcyclists’ crash risk. Accident Analysis & Prevention, 39(3), 491-499.
Elvik, R., Høye, A., Vaa, T., & Sørensen, M. (2009). The handbook of road safety measures, 2nd ed., Emerald Group Publishing.
Ferko, M., Babic, D., Brijs, T., Babic, D., & Pirdavani, A. (2025). Understanding risky riding: Factors influencing crashes, near-crashes, and traffic fines among motorcyclists. Transportation Research Part F: Traffic Psychology and Behaviour, 114, 1053-1076.
Haddon, W. (1980). The basic strategies for reducing damage from hazards of all kinds. Hazard Prevention, 16(1), 8-12.
Hutchinson, T. P. (2018). Road safety theory, RoadSafetyTheory.com.
Kamaruddin, S. N., Marzuki, M., Ismail, K., Radzi, N. M. M., Noor, H. M., & Rosmiza, M. Z. (2025). Faktor risiko pengguna motosikal dalam kalangan pelajar sekolah Di Malaysia: Tinjauan literatur bersistematik mobiliti belia selamat. International Journal of Modern Education, 7(27), 352-371.
Linacre, J. M. (2024). A user’s guide to Winsteps Ministep Rasch-model computer programs: Program manual 5.8.1, Winsteps.com.
Malaysian Institute of Road Safety Research (MIROS) (2022). Road Traffic Accident Statistics in Malaysia, Putrajaya: MIROS.
Ministry of Transport Malaysia (2024). Malaysia transportation statistics 2023, Ministry of Transport Malaysia.
Motevalian, S. A., Asadi-Lari, M., & Rahimi, H. (2011). Validation of the Persian version of the Motorcycle Rider Behaviour Questionnaire (MRBQ). BMC Public Health, 11, 408.
O’Brien, F., & Gormley, M. (2016). Risk perception and dangerous driving among adolescents: Outcome- and behavior-focused questions yield opposite results. Journal of Adolescence, 52, 89-94.
Özkan, T., Lajunen, T., Doğruyol, B., Yıldırım, Z., & Çoymak, A. (2012). Motorcycle accidents, rider behaviour, and psychological models. Accident Analysis & Prevention, 49, 124-132.
Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30(4), 459-467.
Rusli, R., Oviedo-Trespalacios, O., & Abd Salam, S. A. (2020). Risky riding behaviours among motorcyclists in Malaysia: A roadside survey. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 446-457.
Sakashita, C., Senserrick, T., Lo, S., Boufous, S., de Rome, L., & Ivers, R. (2014). The Motorcycle Rider Behavior Questionnaire: Psychometric properties and application amongst novice riders in Australia. Transportation Research Part F: Traffic Psychology and Behaviour, 22, 126-139.
Setyowati, D., Kartono, D., & Sunmud, R. (2024). Adolescent motorcycle risk behavior in developing countries: A comparative review. International Journal of Injury Control and Safety Promotion, 31(2), 155-167.
Sinar Harian (2024, October 23). 779 kes kemalangan maut libatkan pelajar sekolah. Sinar Harian.
Siraj, R., Najam, B., & Ghazal, S. (2021). Sensation seeking, peer influence, and risk-taking behavior in adolescents. Education Research International, 8403024.
Stephens, A. N., Fitzharris, M., & Young, K. (2017). Predictors of risky motorcycle riding: Integrating behavior and personality factors. Accident Analysis & Prevention, 106, 228-236.
Sumit, K., Ruiter, R. A. C., Ross, V., Wets, G., & Brijs, K. (2021). Risky riding behaviour among young, motorized two-wheeler riders in India: A quantitative analysis of the psychosocial determinants. Transportation Research Part F: Traffic Psychology and Behaviour, 108, 136-151.
Topolšek, D., & Dragan, D. (2018). Relationships between motorcyclists’ behavioural perception and their actual behaviour. Transport, 33(1), 151-164.
Uttra, S., Jomnonkwao, S., Watthanaklang, D., & Ratanavaraha, V. (2020). Development of self-assessment indicators for motorcycle riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ). Sustainability, 12(7), 2785.
Wegman, F., Aarts, L., & Bax, C. (2008). Advancing sustainable safety: National road safety outlook for The Netherlands for 2005-2020. Safety Science, 46(2), 323-343.
World Health Organization (2018). Global status report on road safety 2018, Geneva: WHO.
World Health Organization (2023). Global status report on road safety 2023, Geneva: WHO.
Zamanzadeh, V., Ghahramanian, A., Rassouli, M., Abbaszadeh, A., Alavi-Majd, H., & Nikanfar, A.-R. (2015). Design and implementation content validity study: Development of an instrument for measuring patient-centered communication. Journal of Caring Sciences, 4(2), 165-178.
Published
Issue
Section
License
Copyright (c) 2026 Siti Nazirah Kamaruddin, Mazdi Marzuki, Nor Mashitah Mohd Radzi, Kamarul Ismail, Harifah Mohd Noor

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Funding data
-
Ministry of Higher Education, Malaysia
Grant numbers FRGS/1/2024/SS07/UPSI/02/3





