ปัจจัยด้านจิตสังคมที่มีอิทธิพลต่อการถูกรังแกผ่านโลกไซเบอร์ ของนักเรียนชั้นมัธยมศึกษาตอนปลาย

Supisa  Jitsom; Pornpat  Hengudomsub; Pichamon  Intaput

Authors

Supisa Jitsom Faculty of nursing, Burapha University
Pornpat Hengudomsub Faculty of nursing, Burapha University
Pichamon Intaput Faculty of nursing, Burapha University

Keywords:

psychosocial factors, cyberbullying victimization, upper secondary school students

Abstract

Introduction: A group of upper secondary school students is one of adolescent groups who have reported being a victim of cyberbullying. Factors related to cyberbullying include student factors, and social-environmental factors.

Research objectives: This study aimed to examine cyberbullying victimization and the predictive power of psychosocial factors on cyberbullying among upper secondary school students in Muang District, Buriram Province.

Research methodology: This is a predictive correlational study. A simple random sampling technique was used to recruit 134 participants. Questionnaires were divided into 8 parts and used for data collection, including: 1) personal information; 2) self-esteem; 3) internet addiction; 4) social support; 5) interpersonal relationships between students and their guardians; 6) interpersonal relationships between students and friends; 7) interpersonal relationships between students and their teachers, and 8) cyberbullying victimization. The Cronbach’s alpha coefficients of questionnaires no. 2-8 were 0.83, 0.94, 0.95, 0.84, 0.93, 0.88, and 0.89, respectively. Descriptive statistics and stepwise multiple regression analysis were employed for data analyses.

Result: Results revealed that mean score of cyberbullying victimization was 24.88 (SD = 4.76), which can be classified as a low level. Internet addiction (β = .297, p <.001), and interpersonal relationships between students and their parents (β = -.167, p < .05) were statistically significant predictors of cyberbullying victimization. These two factors together explained 13.30% (R² = .133, p < .05) of the variance in cyberbullying victimization.

Conclusion: Psychosocial factors predicting cyberbullying victimization included internet addiction and interpersonal relationships between students and their parents.

Implications: Nurses, healthcare providers, and educators could apply the results of this study to prevent and lessen cyberbullying victimization problems among upper secondary school students. Promoting constructive use of the internet and good relationships between students and their parents are recommended.

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References

National Crime Prevention Council. Information and resources to curb the growing problem of cyberbullying [Internet]. 2014 [cited 2021 February 15]. Available from: https://www.ncpc.org/resources/cyberbullying/

Jones SE. Examining cyberbullying bystander behavior using a multiple goals perspective [Master’s thesis]. University of Kentucky; 2014.

Songsiri N. Relationship between personal characteristics family context and cyberbullying among secondary and vocational students in Bangkok [Master’s thesis]. Bangkok: Mahidol University; 2010. (in Thai).

Hinduja S, Patchin JW. Bullying, cyberbullying, and suicide. J Archives of Suicide Research 2010;14(3):206-21.

Brewer G, Kerslake J. Cyberbullying, self-esteem, empathy and loneliness. J Computer in Human Behavior 2015;48:255-60.

Ojedokun O, Idemudia ES. The moderating role of emotional intelligence between PEN personality factors and cyberbullying in a student population. Life Science J 2013;10(3):1924-30.

Tudkuea T, Laeheem K, Sittichai R. Guidelines for preventive cyber bullying behaviors among secondary school students in the three southern border provinces. J Behavioral Science for Development 2019;11(3):91-106. (in Thai).

Ortega RR, Nunez JC. Bullying and cyberbullying: research and intervention at school and social contexts. Psicothema 2012;24(4):603-7.

Alvarez GD, Nunez JC, Dobarro A, Rodriguez C. Risk factors associated with cybervictimization in adolescence. International J of Clinical and Health Psychology 2015;43(3):1-10.

Sittichai R, Tudkuea T. Cyberbullying behavior among youth in the three southern border provinces, Thailand. Academic Services J Prince of Songkla University 2017;28(1):86-99. (in Thai).

Suntornvijitr S, Hengudomsub P, Vatanasin D, Dethchaiyot P. Predicting factors of depression among secondary school students in extended educational opportunity schools. Nursing J of the Ministry of Public 2017;28(2):53-66. (in Thai).

Olenik SD, Heiman T. Cyberbullying victimization in adolescents as related to body esteem, social support, and social self-efficacy. The J of Genetic Psychology 2017:178(1):28-43.

Bandura A. Social foundations of thought and action: a social cognitive theory. New jersey: Prentice-Hall; 1989.

Polit DF. Beck CT. Nursing research: generating and assessing evidence for nursing practice 10th ed. Philadelphia: Lippincott Williams & Wilkins; 2017.

Rosenberg M. Society and the adolescent self-Image. Princeton: Princeton University Press; 1965.

Srisaeng P. Self-esteem, stressful life events, social support and postpartum depression in adolescent mothers in Thailand [doctoral’s thesis]. Case Western Reserve University; 2003.

Nuphannoi R, Thaweekoon T, Nintachan P. Self-esteem, social support, and bullying behavior among junior high school students. The J of Psychiatric and Mental Health 2018;32(3):13-32. (in Thai).

Young KS. Internet addiction: The emergence of a new clinical disorder. J Cyber Psychology & Behavior 1998;1(3):237-44.

Thongkambunjong W. Causal factors of internet dependency behavior of high school students in Bangkok Metropolis [doctoral’s thesis]. Srinakharinwirot University; 2010. (in Thai).

Seangsanaoh S, Vatanasin D, Hengudomsub P. Influence of interpersonal factors on depression among late adolescents [Master’s thesis]. Chonburi: Burapha University; 2017. (in Thai).

Weinert C. PRQ2002 [Internet]. 2002 [cited 2021 January 8]. Available from: http://www.montana.edu/cweinert/prq2k.html

Tungmephon P. Social support, caregiving preparedness and stress among mothers of autistic children [Master’s thesis]. Chiang Mai: Chiang Mai University; 2008. (in Thai).

Changpradub A. Factors affecting on interpersonal relationship between students and their peer group of the third level, secondary grades 1-3 student of Inburi school in Inburi District, Singburi Province [Master’s thesis]. Srinakharinwirot University; 2007. (in Thai).

Thitipanichayangkoon T. Some factors affecting emotional stability and adversity guotient of Matthayomsuksa III students in Bangkok Educational service area III [Master’s thesis]. Srinakharinwirot University; 2007. (in Thai).

Pongpetra S. Factors affecting on interpersonal relationship with friends of the fourth level, secondary grades 4-6 students at Sarasas Ektra School in Yannawa District, Bongkok [Master’s thesis]. Srinakharinwirot University; 2010. (in Thai).

Doane AN, Kelley ML, Chiang ES, Padilla MA. Development of the cyberbullying experiences survey. Emerging Adulthood 2013;1(3):207-18.

Phaowiriya H, Boonnate N, Dallas CJ, Suppaseemanont W. Cyberbullying behavior and cybervictimization among nursing students. Nursing J 2021;48(1):159-73. (in Thai).

Sanga S, Yapang P, Chanthon T. Cyber bullying behavior of senior secondary school students in Muang District, Lumphun Province. The 13th National and International Sripatum University Conference; 2018 Dec 20; 2018. p.1953-64. (in Thai).

Amaraphibal A. Cyber-bullying victimization among youths: risk factor, mental health impacts and reporting to the third person. Research Methodology & Cognitive Science 2016;14(1):59-73. (in Thai).

Kerim K, Mustafa O, Subhan E, Duygu GE, Songul Y, Dilvin E, et al. Determination of the level of being cyber bully/victim of eighth grade students of elementary schools. Procedia-Social and Behavioral Sciences 2015;176(2015):846-53.

Pornnoppadol C. Behavior use internet not safe in Thai children: Cyberbullying [Internet]. 2019 [cited 2020 Feb 8]. Available from: https://today.line.me/th/v2/article/aEOgPO

Nantasen P, Prasertsin U. Internet addiction behavior and depression: causes, factors, and prevention guidelines. J of Health and Nursing Research 2020;36(3):293-303. (in Thai).

Pokpong S, Musikaphan W. Factors affecting attitudes and behavior violence and cyberbullying among youth in Thai [Master’s thesis]. Bangkok: Mahidol University; 2009. (in Thai).

Jandee P, Vatanasin D, Hengudomsub P. Factors influencing depression among secondary school students in extended educational opportunity schools. J of Health and Nursing Research 2021;37(1):252-65. (in Thai).