International Association of Educators   |  ISSN: 2834-7919   |  e-ISSN: 1554-5210

Original article | International Journal of Progressive Education 2016, Vol. 12(1) 128-135

Investigating the Relationship among Internet Addiction, Positive and Negative Affects, and Life Satisfaction in Turkish Adolescents

Bülent Baki Telef

pp. 128 - 135   |  Manu. Number: ijpe.2016.024

Published online: February 01, 2016  |   Number of Views: 778  |  Number of Download: 875


Abstract

This study investigates the relationships between Internet addiction and the areas of life satisfaction and positive or negative affects in Turkish adolescents. The research sample comprised 358 students studying in the sixth, seventh and eighth grades at four different middle schools in Canakkale city centre during the 2012–2013 academic year, of which 189 (52.8%) were females and 169 (48.2%) were males. Of the participants, 131 (37%) were sixth graders, 90 (25%) were seventh graders and 137 (38%) were eighth graders. The Internet Addiction Scale, the Multidimensional Student’s Life Satisfaction Scale and the Scale of Positive and Negative Experience were used as data collection instruments in the study. Research data was analysed using Pearson's product-moment correlation technique and multiple linear regression. The results indicated that there was a significant negative correlation between Internet addiction and school and family satisfaction, and a significant positive relationship between Internet addiction and negative affects. The regression analysis results indicated that school satisfaction and negative affects are important predictors of Internet addiction. The results suggested that increasing adolescents’ school satisfaction and developing their ability to regulate their emotions might be useful in decreasing Internet addiction.

Keywords: adolescent, internet addiction, life satisfaction, positive affects, negative affects


How to Cite this Article?

APA 6th edition
Telef, B.B. (2016). Investigating the Relationship among Internet Addiction, Positive and Negative Affects, and Life Satisfaction in Turkish Adolescents. International Journal of Progressive Education, 12(1), 128-135.

Harvard
Telef, B. (2016). Investigating the Relationship among Internet Addiction, Positive and Negative Affects, and Life Satisfaction in Turkish Adolescents. International Journal of Progressive Education, 12(1), pp. 128-135.

Chicago 16th edition
Telef, Bulent Baki (2016). "Investigating the Relationship among Internet Addiction, Positive and Negative Affects, and Life Satisfaction in Turkish Adolescents". International Journal of Progressive Education 12 (1):128-135.

References
  1. Ak, Ş., Koruklu, N., & Yılmaz, Y. (2012). Study on Turkish adolescent's Internet use: Possible predictors of Internet addiction. CyberPsychology, Behavior & Social Networking, 16, 205-209. [Google Scholar]
  2. Andreou, E., & Svoli, H. (2013). The association between Internet user characteristics and dimensions of Internet addiction among Greek adolescents. International Journal of Mental Health Addiction, 11, 139-148. [Google Scholar]
  3. Ayas, T., & Horzum, M. B. (2013). Internet addiction and Internet parental style of primary school students. Türk Psikolojik Danışma ve Rehberlik Dergisi, 4, 46-57. [Google Scholar]
  4. Beard, K. W., & Wolf, E. M. (2001). Modification in the proposed diagnostic criteria for Internet addiction. Cyberpsychology & Behavior, 4, 377-383. [Google Scholar]
  5. Bayraktar, F. (2001). Role in the development of adolescent use of the Internet. Unpublished Master Thesis, Ege University, Turkey. [Google Scholar]
  6. Canan, F., Ataoglu, A., Nichols, L. A., Yildirim, T., & Ozturk, O. (2010) Evaluation of psychometric properties of the Internet addiction scale in a sample of Turkish high school students. Cyberpsychology & Behavior, 13, 1-4. [Google Scholar]
  7. Cao, H., Sun, Y., Wan, Y., Hao, J., & Tao, F. (2011). Problematic Internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction. BMC Public Health, 11, 802. [Google Scholar]
  8. Ceyhan, A. A. (2011). Predictors of adolescents’ problematic Internet use levels. Çocuk ve Gençlik Ruh Sağlığı Dergisi, 18, 85-94. [Google Scholar]
  9. Çivitci, A. (2007). The adaptation of multidimensional students’ life satisfaction scale into Turkish: Validity and reliability studies. Eurasian Journal of Educational Research, 26, 51-60. [Google Scholar]
  10. Chen, S. K. (2012). Internet use and psychological well-being among college students: A latent profile approach. Computers in Human Behavior, 28, 2219–2226. [Google Scholar]
  11. Diener, E. (1984). Subjective well-being. Psychological Bulletin, 95, 542-575. [Google Scholar]
  12. Diener, E., & Diener, C. (1996). Most people are happy. Psychological Science, 7, 181-185. [Google Scholar]
  13. Diener, E., Wirtz, D., Tov, W., Kim-Prieto, C., Choi, D., & Oishi, S., et al. (2010). New well-being measures: Short scales to assess flourishing and positive and negative feelings. Social Indicators Research, 97, 143-156. [Google Scholar]
  14. Durkee, T., Kaess, M., Carli, V., Parzer, P., Wasserman, C., & Floderus, B., et al. (2012). Prevalence of pathological Internet use among adolescents in Europe: demographic and social factors. Addiction, 107, 2210-2222. [Google Scholar]
  15. Douglas, A. C., Mills, J. E., Niang, M., Stepchenkova, S., Byun, S., & Ruffini, C., et al. (2008). Internet addiction: Meta-synthesis of qualitative research for the decade 1996–2006. Computers in Human Behavior, 24, 3027–3044. [Google Scholar]
  16. Eryaman, M. Y. (2007). Examining the characteristics of literacy practices in a technology-rich sixth grade classroom. The Turkish Online Journal of Educational Technology (TOJET) 6(2), 26-41. [Google Scholar]
  17. Gunuc, S., & Dogan, A. (2013). The relationships between Turkish adolescents’ Internet addiction, their perceived social support and family activities. Computers in Human Behavior, 29, 2197–2207. [Google Scholar]
  18. Huang, H., & Leung, L. (2009). Instant messaging addiction among teenagers in China: shyness, alienation, and academic performance decrement. CyberPsychology & Behavior, 12, 675-679. [Google Scholar]
  19. Huebner, E. S. (1994). Preliminary development and validation of a multidimensional life satisfaction scale for children. Psychological Assessment, 6, 149-158. [Google Scholar]
  20. Kaltiala-Heino, R., Lintonen, T., & Rimpela, A. (2004). Internet addiction? Potentially problematic use of the Internet in a population of 12–18-year-old adolescents. Addict Res Theory, 12, 89-96. [Google Scholar]
  21. Kelleci, M., Güler, N., Sezer, H., & Gölbaşı, Z. (2009). Relationships gender and psychiatric symptoms with duration of ınternet use among high school students. TAF Preventive Medicine Bulletin, 8, 223-230. [Google Scholar]
  22. Ko, C. H., Yen, J. Y., Chen, C. C., Chen, S. H., & Yen, C. F. (2005). Proposed diagnostic criteria of Internet addiction for adolescents. The Journal of Nervous and Mental Disease, 193, 728–33. [Google Scholar]
  23. Ko, C. H., Yen, J. Y., Yen, C. F., Lin, H. C., & Yang, M. J. (2007). Factors predictive for incidence and remission of Internet addiction in young adolescents: a prospective study. CyberPsychology & Behavior, 10, 545–51. [Google Scholar]
  24. Ko, C. H., Yen, J. Y., Liua, S. C., Huanga, 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. Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. S., & Chen, C. C. (2012). The association between Internet addiction and psychiatric disorder: a review of the literature. European Psychiatry, 27(1), 1-8. [Google Scholar]
  25. Kormas, G., Critselis, E., Janikian, M., Kafetzis, D., Tsitsika, A. (2011). Risk factors and psychosocial characteristics of potential problematic and problematic Internet use among adolescents: a cross-sectional study. BMC Public Health, 11, 595. [Google Scholar]
  26. Lam, L. T., Peng, Z. W., Mai, J. C., & Jing, J. (2009). Factors associated with Internet addiction among adolescents. CyberPsychology & Behavior, 12, 551-5. [Google Scholar]
  27. Li, W., Garland, E. L., & Howard, M. O. (2014). Family factors in Internet addiction among Chinese youth: a review of English- and Chinese-language studies. Computers in Human Behavior, 31, 393–411. [Google Scholar]
  28. LaRose, R., Lin, C. A., & Eastin, M. S. (2003). Unregulated Internet usage: addiction, habit, or deficient self-regulation? Media Psychology, 5, 225–253. [Google Scholar]
  29. Mythily, S., Qiu, S., & Winslow, M. (2008). Prevalence and correlates of excessive Internet use among youth in Singapore. Academy of Medicine Singapore, 37, 9-14. [Google Scholar]
  30. Nalwa, K., & Anand, A. P. (2003). Internet addiction in students: a cause of concern. Cyberpsychology and Behavior, 6, 653-656. [Google Scholar]
  31. Seo, M., Kang, H. S., & Chae, S. M. (2012). Emotional competence and online game use in adolescents. Computers, Informatics, Nursing, 30, 640–646. [Google Scholar]
  32. Spada, M. M., Langston, B., Nikcevic, A. V., & Moneta, G. B. (2008). The role of metacognitions in problematic Internet use. Computers in Human Behavior, 24, 2325–2335. [Google Scholar]
  33. Subrahmanyam, K., & Lin, G. (2007). Adolescents on the net: Internet use an well-being. Adolescence, 42, 659-677. [Google Scholar]
  34. Stavropoulos, V., Alexandraki, K., & Motti-Stefanidi, F. (2013). Recognizing Internet addiction: Prevalence and relationship to academic achievement in adolescents enrolled in urban and rural Greek high schools. Journal of Adolescence, 36, 565–576. [Google Scholar]
  35. Senol-Durak, E., & Durak, M. (2011). The Mediator roles of life satisfaction and self-esteem between the affective components of psychological well-being and the cognitive symptoms of problematic Internet use. Social Indicators Research, 103, 23–32. [Google Scholar]
  36. Telef, B. B. (2013). The Scale of positive and negative experience: a validity and reliability study for adolescents. Anatolian Journal of Psychiatry, 14, 62-68. [Google Scholar]
  37. Tsitsika, A,, Critselis, E., Louizou, A., Janikian, M., Freskou, A., & Marangou, E., et al. (2011). Determinants of Internet addiction among adolescents: a case-control study. Scientific World Journal, 11, 866-874. [Google Scholar]
  38. Wang, J., & Wang, H. (2011). The predictive effects of online communication on well-being among Chinese adolescents. Psychology, 2, 359-362. [Google Scholar]
  39. Wang, H., Zhou, X., Lu, C., Wu, J., & Hong, L. D. (2011). Problematic Internet use in high school students in Guangdong Province, China. PLoS ONE, 6, 1-8. [Google Scholar]
  40. Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006). Friend networking sites and their relationship to adolescents’ well-being and social self-esteem. CyberPsychology & Behavior, 9, 584–590. [Google Scholar]
  41. Valkenburg, P. M., & Peter, J. (2007). Online communication and adolescent well-being: Testing the stimulation versus the displacement hypothesis. Journal of Computer-Mediated Communication, 12, 1169–1182. [Google Scholar]
  42. Van Der Aa, N., Overbeek, G., Engels, R. C. M. E., Scholte, R. H. J., Meerkerk, G. J., & Van den Eijnden, R. J. J. M. (2009). Daily and compulsive Internet use and well-being in adolescence: A diathesis-stress model based on big five personality traits. Journal of Youth and Adolescence, 38, 765-776. [Google Scholar]
  43. Yang, C. (2001). Sociopsychiatric characteristics of adolescents who use computers to excess. Acta Psychiatrica Scandinavica, 104, 217-222. [Google Scholar]
  44. Yen J. Y., Yen C. F., Chen C. C., Chen S. H., & Ko, C. H. (2007). Family factors of Internet addiction and substance use experience in Taiwanese adolescents. Cyberpsychology and Behavior, 10, 323–9. [Google Scholar]
  45. Yen, C. F., Ko, C. H., Yen, J. Y., Chang, Y. P., & Cheng, C. P. (2009). Multi-dimensional discriminative factors for Internet addiction among adolescents regarding gender and age. Psychiatry and Clinical Neurosciences, 63, 357–364. [Google Scholar]
  46. Young, K. S. (1998). Caught in the net: How to recognize the signs of Internet addiction and a winning strategy for recover. John Wiley, New York. [Google Scholar]
  47. Yu, L., & Shek, D. T. L. (2013). Internet addiction in Hong Kong adolescents: a three-year longitudinal study. Journal of Pediatric and Adolescent Gynecology, 26, 10-17. [Google Scholar]