International Journal of Research and Scientific Innovation (IJRSI)

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Forms of Bullying Prevalent in Public Secondary Schools: A Case of Selected Schools in Machakos County, Kenya.

Forms of Bullying Prevalent in Public Secondary Schools: A Case of Selected Schools in Machakos County, Kenya.

Elizabeth K., PhD

Institute of Child Psychology, School of Applied Human Sciences, Daystar University, Nairobi, Kenya.

DOI: https://doi.org/10.51244/IJRSI.2024.1106047

Received: 08 May 2024; Revised: 22 May 2024; Accepted: 27 May 2024; Published: 22 July 2024

ABSTRACT

 Bullying in schools is a global problem that has short- and long-term negative health consequences on both the bullies and victims.  A report by the National Center for Educational Statistics (2019) shows that one out of every five (20.2%) students report being bullied. This has long term physical, psychological and academic negative impact among students.  The researcher sought to assess the prevalence of forms of bullying in public secondary schools in Machakos sub county, Machakos County. The researcher employed descriptive research design. Purposive sampling and simple random sampling were used to select 280 respondents. The study used both open and closed ended questionnaires to collect data. Data was analyzed using SPSS version 23.0. The study used both descriptive and inferential statistics to describe quantitative data which were then analyzed, interpreted, and presented in form of tables and figures. The study established that about 71.5% of students participated in bullying and among the different forms of bullying verbal (38.9%) was leading followed by psychological (21.7%), sexual physical (15.3%) and cyber bullying (11.2%). The study revealed that boys suffered more physical and cyber bullying while girls suffered more of sexual and verbal bullying activities. The study concluded that four forms of bullying are prevalent in Machakos County and that there is need to seek solutions in order to curb it down.

Key words: Bullying, Prevalence, Bully Victim, Bully, Bully bystander, cyber bullying, forms.

INTRODUCTION AND BACKGROUND

School bullying occurs in all countries and includes physical, verbal, emotional, sexual violence and psychological and this has existed in communities for many years in most parts of the world (Alison, 2016). Globally there are over 246 million children and adolescents who experience bullying in some form yearly (United Nations Educational Scientific & Cultural Organizations [UNESCO] Institute for Statistics, 2023). School bullying can be defined as an intentional activity with repeated aggressive acts on the student or students mostly on other weaker students (Smith, 2018). The power imbalance means that the dominant group, or individual tends to cause disturbance or harm to the less dominant one for a long time (Smith, 2019). As noted by Kibriya, Xu and Zhang (2015) bullying constitutes a complex problem that affects more the academic performance of learners especially in schools. There is a higher percentage of male than of female students who are physically bullied and more females than males being bullied verbally or through rumours. A report by UNESCO (2023 indicated that both victims and perpetrators of bullying do suffer negatively in personal social development, health, and education in childhood as well as in adulthood. Bullying is more common in boys and young children than in girls. Bullying has been noted to be more on the West and Central Africa as well as in South Africa. In addition, there are low rates of bullying in Europe and the commonwealth of Independent States (CEE/CIS) (UNESCO, 2016).

Kenya is one of the countries most affected by frequent fatal bullying in many public schools and the rate of bullying in Kenyan schools is higher than the world rate according to Okwemba, (2018). Some of the counties that have witnessed bullying are such as Bungoma County, Baringo, Mombasa, and Nairobi, among others.

Shafqat (as cited in Al-Raqqad, Al-Bourini, Al Talahin, & Aranki, 2017) noted that bullying in schools do occur anywhere in the school compound and this is also supported by Kahneman, D., `Sibony, O., & Sunstein, C. (2021). This could be in classes as students do their group work or school activities, around the school buildings, within or under their school buses. School bullying is widespread issue that affects school students in many parts of the world and is a distress to their lives either professionally, academically, or psychologically (Shafqat as cited in Al-Raqqad et al., 2017). A study conducted by Sekol and Farrington (2016) established that many bullies than non-bullies had been bullied before. As noted by Burton and Leoschut (2013), other studies in German and Belgium showed a ratio of 1.1% and 6.2% respectively of girls had experienced sexual harassment in 2005. Another study done by Livingstone, Haddon, Görzig, and Ólafsson (2011) on traditional bullying and cyberbullying from 25 European countries revealed that 19% of 9-16-year-olds had something nasty happening to them in the past 12 months. However, only 5% indicated that bullying happened more than once a week and another 4% once or twice a month and 10% indicated that it was less.

According to a United Nations Children’s Fund (UNICEF, 2014) report, the most common perpetrators of physical violence among adolescent boys were their peers and teachers. Among the adolescent girls, parents and other caregivers were the most common perpetrators of physical violence. The report also noted that teachers were being mentioned by a good proportion of girls in some countries such as Zambia (10%), Democratic Republic of Congo (11%), Timor-Leste, Moldova, and Zimbabwe (12%), Cameroon (16%), Tanzania (28%), Nigeria (32%), Kenya (42%), and Uganda (48%).

METHODOLOGY

The study adopted a descriptive study design specifically on selected public day and boarding schools in Machakos sub-county, Machakos County. This study adopted quantitative research method through the use of a questionnaire for collecting the numerical data. The numerical data was then analyzed using SPSS Version 22.

The questionnaire was used in this study to allow data collection through different respondents. The respondents selected for this study represented the entire population from which the findings were drawn. According to Glazer and Rubinstein (2014), questionnaires aid the researcher in having a forthright comparison with other previous work. The study was conducted in four selected public mixed day and boarding schools in Machakos Sub-County which is within Machakos Town Sub County.  The Sub-County has three educational zones namely, Muvuti zone, Mutituni zone and Mumbuni zone. With a total of thirty-nine (39) schools. In Muvuti zone the researcher selected one mixed day and boarding school called Katoloni. In Mumbuni zone, Centre for Excellence was selected which is boys boarding school while in Mutituni, Kwanthanze mixed day and boarding school and Mumbuni girls boarding school were selected.

The target population consisted of form one and form two students from the selected secondary schools from all the three zones in Machakos sub-county and the total was 935 students. The selection of the schools was purposively done to ensure good representation from different zones and depended on the specific schools which are few with mixed day and boarding. The study selected them purposively to avoid choosing schools with other unwanted characteristics and in addition the study focused on the schools within the Machakos municipality which had the needed.

The study purposively used 30% of the sampled target population as a representative of the population. This is in line with Mugenda and Mugenda (2003) who stated that a sample size of between 10% and 30% is representative of target population and hence the 30% is adequate for this study. The study used random method to get the number of boys, girls’ boarding schools as well as public mixed day and boarding per zone. Stratification started from the zones whereby Machakos sub county which has three zones with thirty-nine (39) schools and each zone formed a strata and the schools within the zones were stratified into public mixed and boarding schools as well as girls and boys boarding schools. The schools were proportionally selected using convenient sampling method whereby there was one boarding school for boys and for girls, two public mixed day and boarding schools. The target population included all the form one and two students from the four sampled schools. In this case, every item or element in the entire population had equal chances of being selected in the study sample (Ranjit, 2011). Among the four selected schools, a total of 280 (students) formed the sample size and, according to sampling procedures by Kothari (2012), this was a convenient sample. Table 3.1 shows the population analysis of each school. The total sample size was 280 students.

Table 1.1: Population Analysis of Each School

Type of school School Form 1 Form 2 Total Sampled 30%
Boys Girls Boys Girls
Public mixed day and boarding Katoloni 76 51 44 57 228 67
 Kwanthanze 48 50 40 37 175 53
Boys public boarding school Centre for Excellence 120 112 232 70
Girls public boarding school Mumbuni Girls 167 133 300 90
Total 244 268 196 227 935 280

Source: Author (2021)

This study employed purposive sampling method to select the Machakos sub county, educational zones and stratification to select the required public mixed day and boarding schools, boarding girls and boys. Convenient purposive sampling was employed to get the required four schools out of the 39 schools because there are few public mixed day and boarding schools within the Machakos sub-county. The study used 30% of the total target population to get a sample size of the required number of students per each form. Simple random sampling employed to get the number of sampled students. The researcher got consent from parents of the sampled students without any problem since majority are below eighteen years. Every student was accorded a number for the purposes of sampling. The respective head teachers were approached before through the office of Machakos sub-county.

Data collection involved the use of questionnaire which contained closed-ended questions to gather data from the students. The researcher obtained an ethical clearance letter from Daystar University Ethics Review Board (DU-ERB) and then a research permit from the National Commission for Science Technology and Innovation (NACOSTI) to collect data from the respondents in the premises. The principals of the schools were approached a week before and informed of the intentions of collecting data from the students and assisted in contacting the respective parents through the school administration. Upon approval, the researcher was able to gather the information from the participants who also gave their consent.

RESULTS

The participants were provided with various statements to determine the frequency of bullying forms in schools and the results are as shown in Table 4.7.

Table 1.2: Respondents’ Views on the Types of Bullying in Schools

Form/Type of bullying Never Rare Often Total
F % F % F % F %
Physical 148 53.01 89 32.93 39 14.06 280 100.00
Verbal 84 30.54 84 30.92 106 38.54 280 100.00
Psychological 140 50.20 78 28.11 58 21.69 280 100.00
Sexual 184 66.27 50 18.47 42 15.26 280 100.00
Cyber 182 65.86 61 22.89 30 11.24 280 100.00

The study revealed that 53% of the respondents indicated that physical bullying never occurred, 32.9% said it was rare and 14.06% said it was often. On verbal bullying, 30.5% indicated never, 30.9% rare and 38.5% often. On Psychological bullying, 50.2% indicated never, 28.1% rare and 21.7% often. Analysis on sexual bullying 66.27% said never, 18.47% rare and 15.26% often. On cyber bullying 65.86% indicated never, 22.89% rare and 11.24% often. From the above forms of bullying, verbal bullying was leading, followed by psychological 21.69%, sexual 15.26%, physical bullying 14.06% and cyber bullying 11.24%. This analysis again depended on the type of gender as revealed in another analysis that some types are more common on girls like verbal and sexual bullying while physical bullying and cyber bullying is more common on boys. The above results concur with a study done in Australia (Spiel & Strohmeier, 2011) and another one done in Nairobi County (Ndetei et al., 2007). However, a study by Salmivalli, Kärnä, and Poskiparta (2011) in Finland disagreed with these sentiments. The study found that physical bullying was the highest form of bullying in schools.

DISCUSSIONS

The study revealed that there were various forms of bullying including physical, psychological, verbal, and sexual and cyber bullying. Among the different forms of bullying, verbal bullying was leading followed by psychological, sexual, physical, and the least common was cyber bullying.  The above analysis is supported by findings in a study by Jan, A., & Husain, S. (2015) showed that bullying caused both psychological and physical effects on the victims. Physical bullying includes beating, slapping, or forcing somebody to do something; sexual bullying involves touching and use of sexual dirty language and signs; verbal bullying involves insulting, spread false rumors, incitements, and threats. Thomas and McGee (2012) also noted that sexual forms of bullying included also texting or sending sex messages which have psychological effects on an individual. Some of these messages could lead to suicidal thoughts (Sherry, 2013). The above argument is also supported by other studies conducted in Australia by Spiel and Strohmeier (2011), which showed that verbal bulling is common. This is also echoed by Ndetei et al. (2007) on studies done in public secondary schools in Nairobi County showing that verbal bullying was common among students. Alongside traditional forms, cyber bullying is also common type of bullying and involves use of upsetting messages or name calling leading to emotional disturbance (Bureau of Market Research, 2012).

CONCLUSION

The study findings revealed that different forms of bullying existed in Machakos County and the most form of bullying was verbal which was more practiced by girls than boys.  There is therefore needed to develop proper strategies to curb verbal bullying occurrences in the County.

REFERENCES

  1. Alison, M. (2016). School level predictors of bullying among high school students. (Unpublished PhD Dissertation). University of Kentucky, Lexington, Kentucky.
  2. Al-Raqqad, H. K., Al-Bourini, E. S., Al Talahin, F. M., & Aranki, R. M. E. (2017). The impact of school bullying on students’ academic achievement from teachers point of view. International Education Studies, 10(6), 44-50.
  3. Bauman, S., & Pero, H. (2011). Bullying and cyberbullying among deaf students and their hearing peers: An exploratory study. Journal of Deaf Studies and Deaf Education, 16(2), 236-253.
  4. Bernacchi, E., Fabris, A., & Zelano, M. (2016). Multi-country study on the drivers of violence affecting children. Florence: Italy: Istituto degli Innocenti Firenze.
  5. Blake, J. J., Zhou, Q., Kwok, O. M., & Benz, M. R. (2016). Predictors of bullying behavior, victimization, and bully-victim risk among high school students with disabilities. Remedial and Special Education, 37(5), 285-295.
  6. Bureau of Market Research. (2012). Nature, extent and impact of bullying among secondary school learners in Gauteng. Pretoria, South Africa: UNISA.
  7. Burger et al. (2015). How teachers respond to school bullying: An examination of self-reported intervention strategy use, moderator effects, and concurrent use of multiple strategies. Teaching and Teacher Education, 5, 191–202. doi:10.1016/j.tate.2015.07.004.
  8. Burton, P., & Leoschut, L. (2013). School Violence in South Africa. Results of the 2012 National School Violence Study, Centre for Justice and Crime Prevention, Monograph series, 12.
  9. Copeland, W. E., Wolke, D., Angold, A., & Costello, E. J. (2013). Adult psychiatric outcomes of bullying and being bullied by peers in childhood and adolescence. JAMA Psychiatry, 70(4), 419-426.
  10. Cornell, D. G., & Bandyopadhyay, S. (2010). The assessment of bullying. In S. R. Jimerson, S.M. Swearer, & D. L. Espelage (Eds.), Handbook of bullying schools: An international perspective (pp. 265-276). New York, NY: Routledge
  11. Devries, K. M., Kyegombe, N., Zuurmond, M., Parkes, J., Child, J. C., Walakira, E. J., & Naker, D. (2014). Violence against primary school children with disabilities in Uganda: A cross-sectional study. BMC Public Health, 14(1), 1-9.
  12. Dozier, M. (2014). Romania’s abandoned children: Deprivation, brain development, and the struggle for recovery. American Journal of Psychiatry, 171(6), 693–694. https://doi.org/10.1176/appi.ajp.2014.14030320
  13. Espelage, D. L., Rao, M. A., & De La Rue, L. (2013). Current research on school-based bullying: A social-ecological perspective. Journal of Social Distress and the Homeless, 22(1), 21-27.
  14. Fluid Survey University. (2017). Research design. Retrieved from http://gc.kis.v2.scr.kaspersky- labs.com Johnson, R. B., & Christensen, L. B. (2008). Educational research: quantitative, qualitative and mixed approaches (3rd ed.). Thousand Oaks, CA: Sage.
  15. Farrington, D. P., & Baldry, A. (2010). Individual risk factors for school bullying. Journal of Aggression, Conflict and Peace Research, 2(1), 4-16.
  16. Fry, D., Cameron, A., Vanderminden, J., & Lannen, P. (2017). Child protection and disability: Ethical, methodological and practical challenges for research. Edinburgh, Scotland: Dunedin Academic.
  17. Gendron, B. P., Williams, K. R., & Guerra, N. G. (2011). An analysis of bullying among students within schools: Estimating the effects of individual normative beliefs, self-esteem, and school climate. Journal of School Violence, 10(2), 150-164. doi: 10.1080/15388220.2010.539166.
  18. Glazer, J., & Rubinstein, A. (2014). Complex questionnaires. Econometrica, 82(4), 1529-1541.
  19. Gofin, R., & Avitzour, M. (2012). Traditional versus internet bullying in junior high school students. Maternal and Child Health Journal, 16(8), 1625-1635.
  20. Gravetter, F. J., & Forzano, L.-A. B. (2012). Research methods for the behavioral sciences (4th ed.). Belmont, CA: Wadsworth.
  21. Jan, A., & Husain, S. (2015). Bullying in elementary schools: Its causes and effects on students. Journal of Education and Practice, 6(19), 43-56.
  22. Jolliffe, D., & Farrington, D. P. (2011). Is low empathy related to bullying after controlling for individual and social background variables? Journal of Adolescence, 34(1), 59-71.
  23. Johnson, R. B., & Christensen, L. (2019). Educational research: Quantitative, qualitative, and mixed approaches. Sage publications.
  24. Justin, W. (2010). Self-Esteem and cyber bullying. Retrieved from https://cyberbullying.org/self-esteem-and-cyberbullying on September 2018.
  25. Kadam, P. & Bhalerao, S. (2010) Sample size calculation. International Journal of Ayurveda Research, 1(1): 55-57. doi: 10.4103/0974-7788.59946.
  26. Kahneman, D., Sibony, O., & Sunstein, C. (2021). Noise([edition unavailable]). HarperCollins Publishers. Retrieved from https://www.perlego.com/book/2035336/noise-pdf (Original work published 2021).
  27. Kibriya, S., Xu, Z. P., & Zhang, Y. (2015). The impact of bullying on educational performance in Ghana: A bias-reducing matching approach (No. 330-2016-13478).
  28. Kiplagat, R. (2013, June 20). Bullies force form one student to drink ethanol. East African Standard, p. 26.
  29. Konishi, C., Hymel, S., Zumbo, B. D., & Li, Z. (2010). Do school bullying and student-teacher relationships matter for academic achievement? A multilevel analysis. Canadian Journal of School Psychology, 25(1), 19-39.
  30. Kothari, C. R. (2012). Research methodology: Methods and techniques (2nd Rev. ed.). New Delhi, India: New Age International.
  31. Kowalski, R. M., Limber, S., & Agatston, P. W. (2007). Cyberbullying: bullying in the digital age. (2nd ed.). Malden, MA: Wiley-Blackwell.
  32. Kumar, R. (2012). Research methodology: A step-by-step guide for beginners (3rd ed.). Thousand Oaks, CA: Sage.
  33. Kyriacou, C., & Zuin, A. (2015). Cyberbullying of teachers by students on YouTube: Challenging the image of teacher authority in the digital age. Research Papers in Education, 1522, 1-19. doi: 10.1080/02671522.2015.1037337
  34. Limo, S. (2015). Bullying among teenagers and its effects (Unpublished master’s thesis). Turku University of Applied Sciences, Turku, Finland.
  35. Livingstone, S., Haddon, L., Görzig, A., & Ólafsson, K. (2011). Risks and safety on the internet: The perspective of European children: Full findings and policy implications from the EU Kids Online survey of 9-16 year olds and their parents in 25 countries. London, UK: London School of Economics and Political Science.
  36. Low, S., Frey, K. S., & Brockman, C. J. (2010). Gossip on the playground: Changes associated with universal intervention, retaliation beliefs, and supportive friends. School Psychology Review, 39(4), 536-551.
  37. Mugenda, O. M., & Mugenda, A. G. (2003). Research methods: Qualitative and quantitative approaches. Nairobi, Kenya: Acts.
  38. Mundbjerg, T., Eriksen, L., Nielsen, H. S., & Simonsen, M. (2014). Bullying in elementary school. Journal of Human Resources, 49(4), 839-871.
  39. Navarro, R. (2016). Gender issues and cyberbullying in children and adolescents: From gender differences to gender identity measures. In R. Navarro, S. Yubero, & E. Larrañaga (Eds.), Cyberbullying across the globe (pp. 35-61). Cham, Switzerland: Springer.
  40. Ndetei, D. M., Ongecha, F. A., Khasakhala, L., Syanda, J., Mutiso, V., Othieno, C. J., … Kokonya, D. A. (2007). Bullying in public secondary schools in Nairobi, Kenya. Journal of Child and Adolescent Mental Health, 19(1), 45-55.
  41. Ndibalema, P. (2013). Perceptions about bullying behaviour in secondary schools in Tanzania: The case of Dodoma municipality. International Journal of Education and Research, 1(5), 1-16
  42. Okwemba, A. (2018). Bullying in the Kenya schools higher than the world rate: Africa women and
  43. child feature service. Retrieved from http://www.awcfs.org/index.php/component/k2/item/1474-bullying-in-kenyan-schools-higher-than-world-rate
  44. Olweus, D. (1992). Mobing in schools. Stockholm, Sweden: Almquist and Wiksell.
  45. Olweus, D. (1994). Bullying at school: Basic facts and effects of a school based intervention program. Journal of Child Psychology and Psychiatry, 35(7), 1171-1190.
  46. Olweus, D. (2001). Peer harassment: A critical analysis of some important issues. In Juvonen, J. and Graham, S. (Eds.). Peer harassment in school: The plight of the vulnerable and victimized. (pp.1-20). New York, NY: Guilford Press.
  47. 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: Official Journal of the International Society for Research on Aggression, 36(2), 81-94.
  48. Ranjit, K. (2011). Research methodology: A step by step guide for beginners (3rd ed.). Thousand Oaks, CA: Sage.
  49. Raskauskas, J., & Modell, S. (2011). Modifying anti-bullying programs to include students with disabilities. Teaching Exceptional Children, 44(1), 60-67.
  50. Rigby, K. (2010), Bullying interventions in schools: Six basic approaches. Camberwell, Australia: ACER.
  51. Rigby, K., & Smith, P. K. (2011). Is school bullying really on the rise? Social Psychology of Education, 14(4), 441-455.
  52. Saito, M. (2011). Violence in primary schools in Southern and Easter Africa: Evidence from SACMEG. Nairobi, Kenya: International Institute for Educational Planning.
  53. Salmivalli, C., Kärnä, A., & Poskiparta, E. (2011). Counteracting bullying in Finland: The KiVa program and its effects on different forms of being bullied. International Journal of Behavioral Development, 35(5), 405-411.
  54. Sekol, I., & Farrington, D. P. (2016). Personal characteristics of bullying victims in residential care for youth. Journal of Aggression, Conflict and Peace Research, 8(2), 99-113.
  55. Shariff, S. (2008). Cyber-bullying: Issues and solutions for the school, the classroom and the home. Abingdon, UK: Routledge.
  56. Sherri, G. (2018). Bullying and anxiety: What is the connection? Retrieved from https://www.verywellfamily.com/bullying-and-anxiety-connection-460631
  57. Sherry, B. (2013). Cyberbullying triples suicide risks in teens. Retrieved from https://www.mdedge.com/psychiatry/article/58855/pediatrics/cyberbullying-triples-suicide-risk-teens
  58. Smith, P. (2019). Making an Impact on School Bullying(1st ed.). Taylor and Francis. Retrieved from https://www.perlego.com/book/1557941/making-an-impact-on-school-bullying-interventions-and-recommendations-pdf (Original work published 2019)
  59. Smith, P. (2018). The Psychology of School Bullying(1st ed.). Taylor and Francis. Retrieved from https://www.perlego.com/book/1568890/the-psychology-of-school-bullying-pdf (Original work published 2018).
  60. Spiel, C., & Strohmeier, D. (2011). National strategy for violence prevention in the Austrian public school system: Development and implementation. International Journal of Behavioral Development, 35(5), 412-418.
  61. Thomas, K. M., & McGee, C. D. (2012). The only thing we have to fear is… 120 characters. TechTrends, 56(1), 19-33.
  62. United Nations Children’s Fund. (2014). Hidden in plain sight: A statistical analysis of violence against children. New York, NY: Author.
  63. United Nations Educational Scientific & Cultural Organization. (2016). Out in the Open: Education sector responses to violence based on sexual orientation or gender identity/expression. Paris, France: Author.
  64. United Nations Educational Scientific & Cultural Organizations Institute for Statistics. (2011). Global education digest 2011: Comparing education statistics across the world. Montreal, Canada: Author.
  65. United Nations Educational, Scientific and Cultural Organization. (2019). Behind the numbers: Ending school violence and bullying. Paris, France: Author.
  66. Van der Werf, C. (2014). The effects of bullying on academic achievement. Revista Desarrollo y Sociedad, (74), 275-308.
  67. Vieno, A., Gini, G., & Santinello, M. (2011). Different forms of bullying and their association to smoking and drinking behavior in Italian adolescents. Journal of School Health, 81(7), 393-399.
  68. Vinnakota, A., & Kaur, R. (2018). A study of depression, externalizing, and internalizing behaviors among adolescents living in institutional homes. International Journal of Applied & Basic Medical Research, 8(2), 89-95.
  69. Vogl-Bauer, S. (2014). When disgruntled students go to extremes: The cyberbullying of instructors. Communication Education, 63(4), 429-448.
  70. Wilson, J. (2010). Essentials of business research: A guide to doing your research project. Thousand Oaks, CA: Sage.
  71. World Health Organization. (2004). GSHS country report on the Philippines. Geneva, Switzerland: Author.
  72. Xiao, S. B., & Wong, Y. M. (2013). Cyber-bullying among university students: An empirical investigation from the social cognitive perspective. International Journal of Business and Information, 8(1), 34-69.
  73. Yen, C. F. (2010). School bullying and mental health in children and adolescents. 24(1), 3-13.

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