Development of an Internet Gaming Addiction Scale Based on the DSM-5’s Nine Diagnostic Criteria with South Korean Gamer Samples

  • Hongsik Yu
Part of the East Asian Popular Culture book series (EAPC)


This chapter provides an overview of Internet gaming culture and regulations of South Korea and a measurement scale for Internet gaming disorder. The primary concern of the chapter is how to diagnose Internet gaming disorder with what kinds of criteria. Three surveys are conducted among South Korean middle- and high-school students and young adults. A 27-item scale and a shortened 9-item version are developed with the nine criteria for Internet gaming disorder in DSM-5. Both versions are reliable across the samples. Internet gaming addiction shows significant moderate correlations with time spent on games and physical aggression. Furthermore, 3.2% of South Korean game players in the samples are classified as students and young adults with Internet gaming addiction. Finally, drawing from the findings of the study in this chapter, additional attention on mobile games and social network games is suggested.


Pathological Gambling Latent Class Analysis Internet Addiction Internet Gaming Disorder Internet Gaming 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



I would like to thank the Ministry of Gender Equality & Family, South Korea, for allowing me to participate in the project as a researcher and for granting me permission to study the data for my own research purposes.


  1. ———. 2013a. Internet gaming disorder.. Accessed 06 Jan 2013.
  2. ———. 2013b. Diagnostic and statistical manual of mental disorders, (DSM-5®). American Psychiatric Pub.Google Scholar
  3. BBC (British Broadcasting Corporation). 2005. “S Korean dies after games session.” BBC News, August 10. Accessed 18 May 2015.
  4. Beard, Keith W., and Eve M. Wolf. 2001. Modification in the proposed diagnostic criteria for internet addiction. CyberPsychology and Behavior 4(3): 377–383.CrossRefGoogle Scholar
  5. Block, Jerald J. 2008. Issues for DSM-V: Internet addiction. The American Journal of Psychiatry 165(3): 306–307.CrossRefGoogle Scholar
  6. Brown, R.I.F. 1993. Some contributions of the study of gambling to the study of other addictions. In Gambling behavior and problem gambling, ed. William R. Eadington, and Judy A. Cornelius, 241–272. Reno: University of Nevada Press.Google Scholar
  7. Buss, Arnold H., and Mark Perry. 1992. The aggression questionnaire. Journal of Personality and Social Psychology 63(3): 452–459.CrossRefGoogle Scholar
  8. Byrne, Barbara M. 2001. Structural equation modeling with AMOS: Basic concepts, applications and programming. Mahwah: Erlbaum.Google Scholar
  9. Charlton, John P., and Ian D.W. Danforth. 2007. Distinguishing addiction and high engagement in the context of online game playing. Computers in Human Behavior 23(3): 1531–1548.CrossRefGoogle Scholar
  10. Choi, He-suk. 2013. “Game addiction bill touches off national debate.” Korean Herald, November 13. Accessed 18 May 2015.
  11. Choo, Hyekyung, Douglas A. Gentile, Timothy Sim, Dongdong Li, Angeline Khoo, and Albert K. Liau. 2010. Pathological video-gaming among singaporean youth. Annals of Academic Medicine Singapore 39(11): 822–829.Google Scholar
  12. Demetrovics, Zsolt, Róbert Urbán, Katalin Nagygyörgy, Judit Farks, Mark D. Griffiths, Orsolya Pápay, Gyöngyi Kökönyei, Katlin Felvinczi, and Attila Oláh. 2012. “The development of the problematic online gaming questionnaire (POGQ).” PloS one 7(5): e36417. doi: 10.1371/journal.pone.0036417. Accessed 15 July 2012.
  13. Diener, E.D., Robert A. Emmons, Randy J. Larsen, and Sharon Griffin. 1985. The satisfaction with life scale. Journal of Personality Assessment 49(1): 71–75.CrossRefGoogle Scholar
  14. Griffiths, Mark D. 1996. Behavioural addictions: An issue for everybody? Journal of Workplace Learning 8(3): 19–25.Google Scholar
  15. ———. 1998. Internet addiction: Does it really exist? In Psychology and the internet: Intrapersonal, interpersonal, and transpersonal implications, ed. Gackenbach Jayne, 61–75. San Diego: Academic Press.Google Scholar
  16. ———. 2005a. The relationship between gambling and videogame playing: A response to Johansson and Gotestam. Psychological Reports 96(3): 644–646.CrossRefGoogle Scholar
  17. ———. 2005b. Components model of addiction within a biopsychosocial framework. Journal of Substance Use 10(4): 191–197.CrossRefGoogle Scholar
  18. Grüsser, Sabine M., Ralf Tahlemann, and Mark D. Griffiths. 2007. Excessive computer game playing: Evidence for addiction and aggression? CyberPsychology and Behavior 10(2): 290–292.CrossRefGoogle Scholar
  19. Hu, Li-tze, and Peter M. Bentler. 1995. Evaluation model fit. In Structural equation modeling: Issues, concepts, and applications, ed. Hoyle H. Rick, 76–99. Newbury Park: Sage.Google Scholar
  20. Kim, Min G., and Joohan Kim. 2010. Cross-validation of reliability, convergent and discriminant validity for the problematic online game use scale. Computers in Human Behavior 26(3): 389–398.CrossRefGoogle Scholar
  21. Kim, Eun J., Kee Namkoong, Taeyun Ku, and Se J. Kim. 2008. The relationship between online game addiction and aggression, self-control and narcissistic personality traits. European Psychiatry 23(3): 212–218.CrossRefGoogle Scholar
  22. Lemmens, Jeroen S., Patti M. Valkenburg, and Jochen Peter. 2009. “Development and Validation of a Game Addiction Scale for Adolescents.” Media Psychology 12(1): 77–95. doi: 10.1080/15213260802669458Google Scholar
  23. Mehroof, Mehwash, and Mark D. Griffiths. 2010. Online gaming addiction: The role of sensation seeking, self-control, neuroticism, aggression, state anxiety, and trait anxiety. CyberPsychology, Behavior, and Social Networking 12(3): 313–316.CrossRefGoogle Scholar
  24. NIA (National Information Society Agency of Korea). 2010. 2010 Survey on the Internet Addiction. Accessed 17 June 2013.
  25. ———. 2014. 2013 Survey on the Internet Addiction. Accessed 14 Apr 2015.
  26. Nunnally, Jum C., and Ira H. Bernstein. 1994. Psychometric theory, 3rd edn. New York: McGraw-Hill.Google Scholar
  27. Schumacker, Randall E., and Richard G. Lomax. 1996. A beginners guide to structural equation modeling. Mahwah: Erlbaum.Google Scholar
  28. Seok, Soonhwa, and Boavenura DaCosta. 2012. The world’s most intense online gaming culture: Addiction and high-engagement prevalence rates among South Korean adolescents and young adults. Computers in Human Behavior 28(6): 2143–2151.CrossRefGoogle Scholar
  29. Tejeiro Salguero, Ricardo A., and Rosa M. Bersabé Morán. 2002. Measuring problem video game playing in adolescents. Addiction 97(12): 1601–1606.CrossRefGoogle Scholar
  30. Ullman, Jodie B. 1996. Structural equation modeling. In Using multivariate statistics, ed. Barbara G. Tabachnick, and Linda S. Fidell, 709–811. New York: Harper Collins.Google Scholar
  31. Wang, Jichuan, and Xiaoqian Wang. 2012. Structural equation modeling: Applications using Mplus. New York: Wiley.CrossRefGoogle Scholar
  32. WHO (World Health Organization). 1993. The ICD-10 classification of mental and behavioural disorders: Clinical descriptions and diagnostic guidelines. Geneva: WHO.Google Scholar
  33. Young, Kimberly S. 1996. “Internet addiction: The emergence of a new clinical disorder.” Paper presented at the annual meeting for the American Psychological Association, Toronto, Canada, August 15.Google Scholar
  34. ———. 1998. Caught in the net: How to recognize internet addiction and a winning strategy for recovery. New York: Wiley.Google Scholar

Copyright information

© The Author(s) 2016

Authors and Affiliations

  • Hongsik Yu
    • 1
  1. 1.School of Media & CommunicationChung-Ang UniversitySeoulSouth Korea

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