Transcultural Translation and Reliability of Cyberbullying and Online Aggression Survey Instrument: Thai Version

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Tanatnuch Wongchinsri
Kusalaporn Chaiudomsom
Nawanant Piyavhatkul
Siriwan Piyawattanametha
Wallapa Bunpromma


This study aims to translate a screening instrument for cyberbullying, Cyberbullying and Online Aggression Survey (COAS), to Thai, then test for its internal consistency and report the prevalence of cyberbullying. The COAS is an original instrument self-report Likert-scale questionnaire consisting of 18 questions with two subscales (9 items each), including Cyberbullying Victimization (CV) and Cyberbullying Offending (CO) scales. The COAS was transculturally translated into a Thai version by forward-backward processes then the content validity was evaluated by six child and adolescent psychiatrists. The internal consistency was explored with secondary school students aged 12 to 18 years in Khon Kaen, a province in Northeastern Thailand. The results showed that the content validity index of the COAS-Thai was 1, and the index of item-objective congruence was 0.67–1.00. From 234 participants, Cronbach’s Alpha was 0.82, with 0.77 for CV and 0.69 for CO subscales. As high as 44.87% reported being involved in a cyberbullying incidence. In conclusion, the COAS-Thai had acceptable reliability, and almost half of the participants reported being involved in cyberbullying. However, future studies are required to improve the quality of the cyberbullying survey in the context of Thai society.


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Tanatnuch Wongchinsri, Department of Psychiatry, Faculty of Medicine, Khon Kaen University, Thailand

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• Anuroj, K., & Pityaratstian, N. (2019). การศึกษาความเที่ยงและความตรงของแบบสอบถาม Cyber-Aggression Perpetration and Victimization Scale ฉบับภาษาไทย [Validity and reliability of Cyber-Aggression Perpetration and Victimization Scale: Thai version]. Journal of the Psychiatric Association of Thailand, 64(1), 45–60.

• Arifin, W. N. (2022). Sample size calculator (web).

• Atsariyasing, W., Foongsathaporn, C., Na Ayudhaya, Q. D., Vasupanrajit, A., Chanpen, S., Apinuntavech, S., & Pornnoppadol, C., (2019). Prevalence of cyberbullying and its associations with unsafe online behaviors, social media addiction, and psychosocial problems among 7th–9th grade students. Journal of the American Academy of Child & Adolescent Psychiatry, 58(10), Article S255.

• Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191.

• Berne, S., Frisén, A., Schultze-Krumbholz, A., Scheithauer, H., Naruskov, K., Luik, P., Katzer, C., Erentaite, R., & Zukauskiene, R. (2013). Cyberbullying assessment instruments: A systematic review. Aggression and Violent Behavior, 18(2), 320–334.

• Bonett, D. G. (2002). Sample size requirements for testing and estimating coefficient alpha. Journal of Educational and Behavioral Statistics, 27(4), 335–340.

• Boonchooduang, N., Louthrenoo, O., Charnsil, C., & Narkpongphun, A. (2019). Cyberbullying and emotional-behavioral functioning among northern Thai adolescents. Biomedical Journal of Scientific & Technical Research, 17(3), 12,877–12,881.

• Bottino, S. M. B., Bottino, C. M. C., Regina, C. G., Correia, A. V. L., & Ribeiro, W. S. (2015). Cyberbullying and adolescent mental health: Systematic review. Cadernos de Saude Publica, 31(3), 463–475.

• Brochado, S., Soares, S., & Fraga, S. (2017). A scoping review on studies of cyberbullying prevalence among adolescents. Trauma, Violence, & Abuse, 18(5), 523–531.

• Dooley, J. J., Pyżalski, J., & Cross, D. (2009). Cyberbullying versus face-to-face bullying: A theoretical and conceptual review. Zeitschrift für Psychologie/Journal of Psychology, 217(4), 182–188.

• Electronic Transactions Development Agency. (2020). รายงานผลการสำรวจพฤติกรรมผู้ใช้อินเทอร์เน็ตในประเทศไทย ปี 2563 [Thailand Internet User Behavior 2020].

• Englander, E., Donnerstein, E., Kowalski, R., Lin, C. A., & Parti, K. (2017). Defining cyberbullying. Pediatrics, 140(S2), S148–S151.

• Hamburger, M. E., Basile, K. C., & Vivolo, A. M. (2011) Measuring bullying victimization, perpetration, and bystander experiences: A compendium of assessment tools. Centers for Disease Control and Prevention, National Center for Injury Prevention and Control.

• Hinduja, S., & Patchin, J. W. (2010). Bullying, cyberbullying, and suicide. Archives of Suicide Research, 14(3), 206–221.

• Hinduja, S. & Patchin, J. W. (2015) Bullying beyond the schoolyard: Preventing and responding to cyberbullying (2nd ed.). Sage Publications.

• Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140(4), 1073–1137.

• Mitchell, K. J., Ybarra, M., & Finkelhor, D. (2007). The relative importance of online victimization in understanding depression, delinquency, and substance use. Child Maltreatment, 12(4), 314–324.

• Ojanen, T. T., Boonmongkon, P., Samakkeekarom, R., Samoh, N., Cholratana, M., & Guadamuz, T. E. (2015) Connections between online harassment and offline violence among youth in Central Thailand. Child Abuse & Neglect, 44, 159–169.

• Olweus, D. (2013). School bullying: Development and some important challenges. Annual Review of Clinical Psychology, 9, 751–780.

• Patchin, J. W., & Hinduja, S. (2006). Bullies move beyond the schoolyard: A preliminary look at cyberbullying. Youth Violence and Juvenile Justice, 4(2), 148–169.

• Patchin, J. W., & Hinduja, S. (2010). Cyberbullying and self-esteem. The Journal of School Health, 80(12), 614–624.

• Pornari, C. D., & Wood, J. (2010). Peer and cyber aggression in secondary school students: The role of moral disengagement, hostile attribution bias, and outcome expectancies. Aggressive Behavior, 36(2), 81–94.

• Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Measures of personality and social psychological attitudes. Academic Press.

• Sittichai, R. (2014) Information technology behavior cyberbullying in Thailand: Incidence and predictors of victimization and cyber-victimization. Asian Social Science, 10(11), 132–140.

• Sittichai, R., & Smith, P. (2013). Bullying and cyberbullying in Thailand: A review. International Journal of Cyber Society and Education, 6(1), 31–44.

• Skilbred-Fjeld, S., Reme, S. E., & Mossige, S. (2020). Cyberbullying involvement and mental health problems among late adolescents. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 14(1), Article 5.

• Sousa, V. D., & Rojjanasrirat, W. (2011). Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: A clear and user-friendly guideline. Journal of Evaluation in Clinical Practice, 17(2), 268–274.

• Tudkuea, T., Laeheem, K., & Sittichai, R. (2019). A study of problems and causes for cyber bullying behaviors among secondary school students in the three southern border provinces. Parichart Journal, 32(2), 158–167.

• Vivolo-Kantor, A. M., Martell, B. N., Holland, K. M., & Westby, R. (2014). A systematic review and content analysis of bullying and cyber-bullying measurement strategies. Aggression and Violent Behavior, 19(4), 423–434.

• Ybarra, M. L., Diener-West, M., & Leaf, P. J. (2007). Examining the overlap in internet harassment and school bullying: Implications for school intervention. The Journal of adolescent health: official publication of the Society for Adolescent Medicine, 41(6), S42–S50.