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The Effects of Peer Victimization on Children’s Internet Addiction and Psychological Distress: The Moderating Roles of Emotional and Social Intelligence

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Abstract

This study examines the moderating effects of both emotional intelligence and social intelligence (social awareness and social information processing) on the relationship between peer victimization and internet addiction, and on the association between peer victimization and psychological distress. We collected data from a national proportionately-stratified random sample of 6233 fourth-grade primary school students in Taiwan and constructed hierarchical linear regression models to test the research hypotheses. The results show that youth who have experienced more peer victimization are at a higher risk of internet addiction and psychological distress than youth who have experienced less peer victimization. In this study, emotional intelligence was negatively associated with internet addiction, but it did not significantly buffer the impact of victimization on internet addiction. Social awareness was negatively associated with internet addiction, but it exacerbated the negative impact of peer victimization on internet addiction. On the other hand, emotional intelligence was negatively associated with psychological distress and buffered the negative impact of victimization on mental health. Social information processing was negatively associated with psychological distress, but it amplified the negative impact of peer victimization on mental health among Taiwanese adolescents. The research implications of these findings are discussed.

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References

  • Agnew, R. (1992). Foundation for a general strain theory of crime and delinquency. Criminology, 30, 47–88.

    Article  Google Scholar 

  • Bar-On, R. (2000). Emotional and social intelligence: insights from the emotional quotient inventory. In R. Bar-On & J. D. A. Parker (Eds.), Handbook of emotional intelligence (pp. 363–388). San Francisco: Jossey-Bass.

    Google Scholar 

  • Barnes, M. L., & Sternberg, R. J. (1989). Social intelligence and decoding of nonverbal cues. Intelligence, 13, 263–287.

    Article  Google Scholar 

  • Block, J. J. (2008). Issues for DSM-V: internet addiction. American Journal of Psychiatry, 165, 306–307.

    Article  PubMed  Google Scholar 

  • Brackett, M. A., Rivers, S. E., Reyes, M. R., & Salovey, P. (2012). Enhancing academic performance and social and emotional competence with the RULER feeling words curriculum. Learning and Individual Differences, 22, 218–224.

    Article  Google Scholar 

  • Caplan, S. E. (2003). Preference for online social interaction: a theory of problematic internet use and psycho-social well-being. Communication Research, 30, 625–648.

    Article  Google Scholar 

  • Caplan, S. E. (2005). A social skill account of problematic internet use. Journal of Communication, 55, 721–736.

    Article  Google Scholar 

  • Catalano, R. F., Berglund, M. L., Ryan, J. A., Lonczak, H. S., & Hawkins, J. D. (2002). Positive youth development in the United States: research findings on evaluations of positive youth development programs. Prevention & Treatment, 5, 15a.

    Google Scholar 

  • Chang, F. C., Lee, C. M., Chiu, C. H., Hsi, W. Y., Huang, T. F., & Pan, Y. C. (2013). Relationships among cyberbullying, school bullying, and mental health in Taiwanese adolescents. Journal of School Health, 83, 454–462.

    Article  PubMed  Google Scholar 

  • Chen, J. K., & Astor, R. A. (2012). School variables as mediators of personal and family factors on school violence in Taiwanese junior high schools. Youth & Society, 44, 175–200.

    Article  Google Scholar 

  • Chen, L. M., & Cheng, Y. Y. (2013). Prevalence of school bullying among secondary students in Taiwan: measurements with and without a specific definition of bullying. School Psychology International, 34, 707–720.

    Article  Google Scholar 

  • Chen, S. H., Weng, L., Su, Y., Wu, H., & Yang, P. (2003). Development of a Chinese internet addiction scale and its psychometric study. Chinese Journal of Psychology, 45, 279–294.

    Google Scholar 

  • Cheng, Y., Newman, I. M., Qu, M., Mbulo, L., Chai, Y., Chen, Y., & Shell, D. F. (2010). Being bullied and psychosocial adjustment among middle school students in China. Journal of School Health, 80, 193–199.

    Article  PubMed  Google Scholar 

  • Chou, C., Condron, L., & Belland, J. C. (2005). A review of the research on internet addiction. Educational Psychology Review, 17, 363–388.

    Article  Google Scholar 

  • Coelho, K. R. (2012). Emotional intelligence: an untapped resource for alcohol and other drug related prevention among adolescents and adults. Depression Research and Treatment, 1–6. https://doi.org/10.1155/2012/281019.

  • Cohen, J. (2006). Social, emotional, ethical, and academic education: creating a climate for learning, participation in democracy, and well-being. Harvard Educational Review, 76, 201–237.

    Article  Google Scholar 

  • Covington, M. V. (1992). Making the grade: a self-worth perspective on motivation and school reform. Cambridge, England: Cambridge University Press.

  • Davis, S. K., & Humphrey, N. (2012). The influence of emotional intelligence (EI) on coping and mental health in adolescence: divergent roles for trait and ability EI. Journal of Adolescence, 35, 1369–1379. https://doi.org/10.1016/j.adolescence.2012.05.007.

    Article  PubMed  Google Scholar 

  • Davies, K. A., Lane, A. M., Devonport, T. J., & Scott, J. A. (2010). Validity and reliability of a brief emotional intelligence scale (BEIS-10). Journal of Individual Differences, 31, 198–208.

    Article  Google Scholar 

  • Dominguez, J., & Ybanez, J. (2016). Addiction to social networks and social skills in students from a private educational institution. Propositosy Representaciones, 4, 181–230.

    Google Scholar 

  • Domino, M. (2013). Measuring the impact of an alternative approach to school bullying. Journal of School Health, 83, 430–437.

    Article  PubMed  Google Scholar 

  • Durlak, J. A., Weissberg, R. P., Dymnicki, A. B., Taylor, R. D., & Schellinger, K. B. (2011). The impact of enhancing students’ social and emotional learning: a meta‐analysis of school‐based universal interventions. Child Development, 82, 405–432.

    Article  PubMed  Google Scholar 

  • Education World (2017). Bullying intervention strategies that work. http://www.educationworld.com/a_issues/issues/issues103.shtml.

  • Ford, M. E., & Tisak, M. S. (1983). A further search for social intelligence. Journal of Educational Psychology, 75, 196–206.

    Article  Google Scholar 

  • Furlong, M. J., Greif, J. L., Bates, M. P., Whipple, A. D., Jimenez, T. C., & Morrison, R. (2005). Development of the California school climate and safety survey-short form. Psychology in the Schools, 42, 137–149.

    Article  Google Scholar 

  • Gini, G., & Pozzoli, T. (2013). Bullied children and psychosomatic problems: a meta-analysis. Pediatrics, 132, 720–729.

    Article  PubMed  Google Scholar 

  • Greenberg, M. T., Domitrovich, C., & Bumbarger, B. (2001). The prevention of mental disorders in school-aged children: current state of the field. Prevention & Treatment, 4, 1a.

    Google Scholar 

  • Griffiths, M. D. (1998). Internet addiction: does it really exist? In J. Gackenbach (Ed.), Psychology and the internet: intrapersonal, interpersonal, and transpersonal implications. New York: Academic Press.

    Google Scholar 

  • Grills, A. E., & Ollendick, T. H. (2002). Peer victimization, global self-worth, and anxiety in middle school children. Journal of Clinical Child and Adolescent Psychology, 31, 59–68.

    Article  PubMed  Google Scholar 

  • Hong, J. S., & Espelage, D. L. (2012). A review of research on bullying and peer victimization in school: an ecological system analysis. Aggression and Violent Behavior, 17, 311–322.

    Article  Google Scholar 

  • Horowitz, J. L., & Garber, J. (2006). The prevention of depressive symptoms in children and adolescents: a meta-analytic review. Journal of Consulting and Clinical Psychology, 74, 401–415.

    Article  PubMed  Google Scholar 

  • Hsieh, Y. P., Shen, A. C. T., Wei, H. S., Feng, J. Y., Huang, C. Y., & Hwa, H. L. (2016a). Associations between child maltreatment, PTSD, and internet addiction among Taiwanese students. Computers in Human Behavior, 56, 209–214.

    Article  Google Scholar 

  • Hsieh, Y. P., Shen, A. C. T., Wei, H. S., Feng, J. Y., Huang, C. Y., & Hwa, H. L. (2016b). Multidimensional victimizations and internet addiction among Taiwanese children. Chinese Journal of Psychology, 58, 217–231.

    Google Scholar 

  • Hwang, A., Ang, S., & Francesco, A. M. (2002). The silent Chinese: the influence of face and Kiasuism on student feedback-seeking behaviors. Journal of Management Education, 26, 70–98.

    Article  Google Scholar 

  • Jiang, Q., & Leung, L. (2012). Effects of individual differences, awareness-knowledge, and acceptance of Internet addiction as a health risk on willingness to change Internet habits. Social Science Computer Review, 30, 170–183.

    Article  Google Scholar 

  • Kandell, J. J. (1998). Internet addiction on campus: the vulnerability of college students. Cyberpsychology & Behavior, 1, 11–17.

    Article  Google Scholar 

  • Kaukiainen, A., Salmivalli, C., Lagerspetz, K., Tamminen, M., Vauras, M., Mäki, H., & Poskiparta, E. (2002). Learning difficulties, social intelligence, and self–concept: connections to bully–victim problems. Scandinavian Journal of Psychology, 43, 269–278.

    Article  PubMed  Google Scholar 

  • Ko, C. H., Yen, J. Y., Liu, S. C., Huang, C. F., & Yen, C. F. (2009). The associations between aggressive behaviors and Internet addiction and online activities in adolescents. Journal of Adolescent Health, 44, 598–605.

    Article  PubMed  Google Scholar 

  • Ko, C. H., Yen, C. F., Yen, C. N., Yen, J. Y., Chen, C. C., & Chen, S. H. (2005). Screening for Internet addiction: an empirical study on cut-off points for the Chen Internet Addiction Scale. The Kaohsiung Journal of Medical Sciences, 21, 545–551.

    Article  PubMed  Google Scholar 

  • Kokkinos, C. M., & Kipritsi, E. (2012). The relationship between bullying, victimization, trait emotional intelligence, self-efficacy and empathy among preadolescents. Social Psychology of Education, 15, 41–58.

    Article  Google Scholar 

  • Kosmitzki, C., & John, O. P. (1993). The implicit use of explicit conceptions of social intelligence. Personality & Individual Differences, 15, 11–23.

    Article  Google Scholar 

  • Kuss, D. J., Griffiths, M. D., Karila, L., & Billieux, J. (2014). Internet addiction: a systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20, 4026–4052.

    Article  PubMed  Google Scholar 

  • Lee, M. B., Liao, S. C., Lee, Y. J., Wu, C. H., Tseng, M. C., Gau, S. F., & Rau, C. L. (2003). Development and verification of validity and reliability of a short screening instrument to identify psychiatric morbidity. Journal of the Formosan Medical Association, 102, 687–694.

    PubMed  Google Scholar 

  • Li, S. M., & Chung, T. M. (2006). Internet function and internet addictive behavior. Computers in Human Behavior, 22, 1067–1071.

    Article  Google Scholar 

  • Lomas, J., Stough, C., Hansen, K., & Downey, L. A. (2012). Brief report: emotional intelligence, victimization and bullying in adolescents. Journal of Adolescence, 35, 207–211.

    Article  PubMed  Google Scholar 

  • Lopes, P. N., Salovey, P., & Straus, R. (2003). Emotional intelligence, personality, and the perceived quality of social relationships. Personality and Individual Differences, 35, 641–658.

    Article  Google Scholar 

  • Maltese, A., Alesi, M., & Alu, A. G. M. (2012). Self-esteem, defensive strategies and social intelligence in the adolescence. Procedia-Social and Behavioral Sciences, 69, 2054–2060.

    Article  Google Scholar 

  • Marlowe, H. A. (1986). Social intelligence: evidence for multidimensionality and construct independence. Journal of Educational Psychology, 78, 52–58.

    Article  Google Scholar 

  • Martins, A., Ramalho, N., & Morin, E. (2010). A comprehensive meta-analysis of the relationship between emotional intelligence and health. Personality and Individual Differences, 49, 554–564.

    Article  Google Scholar 

  • Matthews, G., & Zeidner, M. (2000). Emotional intelligence, adaptation to stressful encounters and health outcomes. In R. Bar-On & J. D. A. Parker (Eds.), Handbook of emotional intelligence (pp. 459–489). San Francisco: Jossey-Bass.

    Google Scholar 

  • Matthews, G., Zeidner, M., & Roberts, R. D. (2004). Emotional intelligence: science and myth. Cambridge, MA: MIT Press.

    Google Scholar 

  • Mayer, J. D., Caruso, D. R., & Salovey, P. (1999). Emotional intelligence meets traditional standards for an intelligence. Intelligence, 27, 267–298.

    Article  Google Scholar 

  • Ogura, M., Okada, K., Hamada, S., Asaga, R., & Honjo, S. (2012). Ijime in Japan. International Journal of Adolescent Medicine and Health, 24, 69–76.

    Article  Google Scholar 

  • Oktan, V. (2011). The predictive relationship between emotion management skills and internet addiction. Social Behavior and Personality, 39, 1425–1430.

    Article  Google Scholar 

  • Patterson, C. J., Kupersmidt, J. B., & Griesler, P. C. (1990). Children’s perceptions of self and of relationships with others as a function of sociometric status. Child Development, 61, 1335–1349.

    Article  PubMed  Google Scholar 

  • Peter, J., Valkenburg, P. M., & Schouten, A. P. (2005). Developing a model of adolescent friendship formation on the internet. Cyberpsychology & Behavior, 8, 423–430.

    Article  Google Scholar 

  • Reijntjes, A., Kamphuis, J. H., Prinzie, P., Boelen, P. A., van der Schoot, M., & Telch, M. J. (2011). Prospective linkages between peer victimization and externalizing problems in children: a meta-analysis. Aggressive Behavior, 37, 215–222.

    Article  PubMed  Google Scholar 

  • Reijntjes, A., Kamphuis, J. H., Prinzie, P., & Telch, M. J. (2010). Peer victimization and internalizing problems in children: a meta-analysis of longitudinal studies. Child Abuse and Neglect, 34, 244–252.

    Article  PubMed  Google Scholar 

  • Resurrección, D. M., Salguero, J. M., & Ruiz-Aranda, D. (2014). Emotional intelligence and psychological maladjustment in adolescence: a systematic review. Journal of Adolescence, 37, 461–472.

    Article  PubMed  Google Scholar 

  • Rhodewalt, F., & Vohs, K. D. (2005). Defensive strategies, motivation, and the self: a self-regulatory process view. In A. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation (pp. 548–565). New York: Guilford Publications.

  • Riley, A. W. (2004). Evidence that school-age children can self-report on their health. Ambulatory Pediatrics, 4, 371–376. https://doi.org/10.1367/A03-178R.1.

    Article  PubMed  Google Scholar 

  • Rivers, S. E., Brackett, M. A., Reyes, M. R., Elbertson, N. A., & Salovey, P. (2013). Improving the social and emotional climate of classrooms: a clustered randomized controlled trial testing the RULER approach. Prevention Science, 14, 77–87.

    Article  PubMed  Google Scholar 

  • Ruiz-Aranda, D., Salguero, J. M., Cabello, R., Palomera, R., & Berrocal, P. F. (2012). Can an emotional intelligence program improve adolescents’ psychosocial adjustment? Results from the INTEMO project. Social Behavior and Personality, 40, 1373–1379.

    Article  Google Scholar 

  • Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9, 185–211.

    Article  Google Scholar 

  • Schmitt, N. (1996). Uses and abuses of coefficient alpha. Psychological Assessment, 8, 350–353.

    Article  Google Scholar 

  • Sesma, A., Mannes, M., & Scales, P. C. (2013). Positive adaptation, resilience and the developmental assets framework. In S. Goldstein & R. B. Brooks (Eds.), Handbook of resilience in children (pp. 427–442). New York: Springer.

    Chapter  Google Scholar 

  • Silman, F., & Dogan, T. (2013). Social intelligence as a predictor of loneliness in the workplace. The Spanish Journal of Psychology, 16, 1–6.

    Article  Google Scholar 

  • Silvera, D., Martinussen, M., & Dahl, T. I. (2001). The Tromsø Social Intelligence Scale, a self‐report measure of social intelligence. Scandinavian Journal of Psychology, 42, 313–319.

    Article  PubMed  Google Scholar 

  • Sinkkonen, H. M., Puhakka, H., & Merilainen, M. (2014). Internet use and addiction among Finnish Adolescents (15–19years). Journal of Adolescence, 37, 123–131.

    Article  PubMed  Google Scholar 

  • Sittichai, R., & Smith, P. K. (2015). Bullying in south-east Asian countries: a review. Aggression and Violent Behavior, 23, 22–35.

    Article  Google Scholar 

  • Swearer, S. M., Song, S. Y., Cary, P. T., Eagle, J. W., & Mickelson, W. T. (2001). Psychosocial correlates in bullying and victimization: the relationship between depression, anxiety, and bully/victim status. Journal of Emotional Abuse, 2, 95–121.

    Article  Google Scholar 

  • Taiwan Ministry of Education (2015). 2015 report of internet use among elementary and high school students. http://www.edu.tw/News_Content.aspx?n=0217161130F0B192&s=F1AA06D56E8D6B20#.

  • Takizawa, R., Maughan, B., & Arseneault, L. (2014). Adult health outcomes of childhood bullying victimization: evidence from a five-decade longitudinal British birth cohort. American Journal of Psychiatry, 171, 777–784.

    Article  PubMed  Google Scholar 

  • Ttofi, M. M., Farrington, D. P., Lösel, F., & Loeber, R. (2011). Do the victims of school bullies tend to become depressed later in life? A systematic review and meta-analysis of longitudinal studies. Journal of Aggression, Conflict and Peace Research, 3, 63–73.

    Article  Google Scholar 

  • Van Geel, M., Vedder, P., & Tanilon, J. (2014). Relationship between peer victimization, cyberbullying, and suicide in children and adolescents: a meta-analysis. JAMA Pediatrics, 168, 435–442.

    Article  PubMed  Google Scholar 

  • Varni, J. W., Limbers, C. A., & Burwinkle, T. M. (2007). How young can children reliably and validly self-report their health-related quality of life? An analysis of 8,591 children across age subgroups with the PedsQL™ 4.0 Generic Core Scales. Health and Quality of Life Outcomes, 5, 1 https://doi.org/10.1186/1477-7525-5-1.

    Article  PubMed  PubMed Central  Google Scholar 

  • Wang, R. H., Lai, H. J., Hsu, H. Y., & Hsu, M. T. (2011). Risk and protective factors for suicidal ideation among Taiwanese adolescents. Nursing Research, 60, 413–421.

    Article  PubMed  Google Scholar 

  • Wang, J., Nansel, T. R., & Iannotti, R. J. (2011). Cyber and traditional bullying: differential association with depression. Journal of Adolescent Health, 48, 415–417.

    Article  PubMed  Google Scholar 

  • Wan, C. S., & Chiou, W. B. (2006). Psychological motives and online games addiction: a test of flow theory and humanistic needs theory for Taiwanese adolescents. Cyberpsychology & Behavior, 9, 317–324.

    Article  Google Scholar 

  • Wei, H. S., Williams, J. H., Chen, J. K., & Chang, H. Y. (2010). The effects of individual characteristics, teacher practice, and school organizational factors on students’ bullying: a multilevel analysis of public middle schools in Taiwan. Children and Youth Services Review, 32, 137–143.

    Article  Google Scholar 

  • Wilson, D. B., Gottfredson, D. C., & Najaka, S. S. (2001). School-based prevention of problem behaviors: a meta-analysis. Journal of Quantitative Criminology, 17, 247–272.

    Article  Google Scholar 

  • Wilson, S. J., & Lipsey, M. W. (2007). School-based interventions for aggressive and disruptive behavior: update of a meta-analysis. American Journal of Preventive Medicine, 33, S130–S143.

    Article  PubMed  PubMed Central  Google Scholar 

  • Yanagida, T., Gradinger, P., Strohmeier, D., Solomontos-Kountouri, O., Trip, S., & Bora, C. (2016). Cross-national prevalence of traditional bullying, traditional victimization, cyberbullying and cyber-victimization: comparing single-item and multiple-item approaches of measurement. International Journal of Developmental Science, 10, 21–32.

    Article  Google Scholar 

  • Yanesari, M. K., Homayouni, A., & Gharib, K. (2010). P02-99-Can emotional intelligence predicts addiction to internet in university students? European Psychiatry, 25, 748–748.

    Article  Google Scholar 

  • Yang, S. J., Stewart, R., Kim, J. M., Kim, S. W., Shin, I. S., Dewey, M. E., Maskey, S., & Yoon, J. S. (2013). Differences in predictors of traditional and cyber-bullying: a 2-year longitudinal study in Korean school children. European Child & Adolescent Psychiatry, 22, 309–318.

    Article  Google Scholar 

  • Yen, C. F., Yang, P., Wang, P. W., Lin, H. C., Liu, T. L., Wu, Y. Y., & Tang, T. C. (2014). Association between school bullying levels/types and mental health problems among Taiwanese adolescents. Comprehensive Psychiatry, 55, 405–413.

    Article  PubMed  Google Scholar 

  • Young, K. S. (1998). Internet addiction: the emergence of a new clinical disorder. Cyberpsychology & Behavior, 1, 237–244.

    Article  Google Scholar 

  • Young, K. S., & Rogers, R. C. (1998). The relationship between depression and internet addiction. Cyberpsychology & Behavior, 1, 25–28.

    Article  Google Scholar 

  • Zeidner, M., Matthews, G., & Roberts, R. D. (2006). Emotional intelligence, adaptation, and coping. In J. Ciarrochi, J. Forgas & J. D. Mayer (Eds.), Emotional intelligence in everyday life: a scientific inquiry. 2nd ed (pp. 82–97). Philadelphia: Psychology Press.

    Google Scholar 

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This study was funded by the National Taiwan University (NTU) Children and Family Research Center.

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Hsieh, YP., Wei, HS., Hwa, HL. et al. The Effects of Peer Victimization on Children’s Internet Addiction and Psychological Distress: The Moderating Roles of Emotional and Social Intelligence. J Child Fam Stud 28, 2487–2498 (2019). https://doi.org/10.1007/s10826-018-1120-6

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