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Preliminary Validation of a New Clinical Tool for Identifying Problem Video Game Playing

  • Daniel Luke King
  • Paul H. Delfabbro
  • Ian T. Zajac
Article

Abstract

Research has estimated that between 6 to 13% of individuals who play video games do so excessively. However, the methods and definitions used to identify “problem” video game players often vary considerably. This research presents preliminary validation data for a new measure of problematic video game play called the Problem Video Game Playing Test (PVGT). Two studies were conducted: an online survey of 373 university student video game players, and a paper-and-pencil survey of 416 video game players from video game outlets and LAN businesses. This paper presents the internal consistency, score distribution, convergent validity and dimensionality of the PVGT. The PVGT demonstrates potential as a continuous measure of problem video game playing. Future research should investigate the use of the PVGT as a clinical instrument for screening individuals whose video game playing may be considered excessive or personally detrimental.

Keywords

Problem video game play Measurement tool Scale validation 

References

  1. Abbott, M., Palmisano, B., & Dickerson, M. (1995). Video game playing, dependency and delinquency: a question of methodology? Journal of Gambling Studies, 11, 287–301.Google Scholar
  2. American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.Google Scholar
  3. Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97, 487–499.CrossRefPubMedGoogle Scholar
  4. Bradley, B. P. (1990). Behavioural addictions: common features and treatment implications [Commentary]. British Journal of Addiction, 85, 1417–1419.CrossRefPubMedGoogle Scholar
  5. Brand, J. (2007). Interactive Australia 2007: Facts about the Australian computer and video game industry. Bond University Press.Google Scholar
  6. Castronova, E. (2005). Synthetic worlds: The business and culture of online games. Chicago: The University of Chicago Press.Google Scholar
  7. Egli, E. A., & Meyers, L. S. (1984). The role of video game playing in adolescent life: is there reason to be concerned? Bulletin of the Psychonomic Society, 22, 309–312.Google Scholar
  8. Fisher, S. (1994). Identifying video game addiction in children and adolescents. Addictive Behaviors, 19, 545–553.CrossRefPubMedGoogle Scholar
  9. Fisher, S., & Griffiths, M. D. (1995). Current trends in slot machine gambling: research and policy issues. Journal of Gambling Studies, 11, 239–247.Google Scholar
  10. Graham, J. (1988). Amusement machines, dependency and delinquency (Home office research study 101). London: Her Majesty’s Stationary Office.Google Scholar
  11. Griffiths, M. D. (1991a). Amusement machine playing in childhood and adolescence: a comparative analysis of video games and fruit machines. Journal of Adolescence, 14, 53–73.CrossRefPubMedGoogle Scholar
  12. Griffiths, M. D. (1991b). The observational study of adolescent gambling in UK amusement arcades. Journal of Community and Applied Social Psychology, 1, 309–320.CrossRefGoogle Scholar
  13. Griffiths, M. D. (1995). Technological addictions. Clinical Psychology Forum, 76, 14–19.Google Scholar
  14. Griffiths, M. D. (1997). Computer game playing in early adolescence. Youth & Society, 29, 223–238.CrossRefGoogle Scholar
  15. Griffiths, M. D. (2000). Does Internet and computer “addiction”exist? Some case study evidence. CyberPsychology & Behavior, 3, 211–218.CrossRefGoogle Scholar
  16. Griffiths, M. D. (2005). A components model of addiction within a biopsychosocial framework. Journal of Substance Use, 10, 191–197.CrossRefGoogle Scholar
  17. Griffiths, M. D. (2008a). Video-game and internet addiction. In Adolescent addiction: epidemiology, assessment and treatment. New York: Academic.Google Scholar
  18. Griffiths, M. D. (2008b). Videogame addiction: further thoughts and observations. International Journal of Mental Health and Addiction, 6, 182–185.CrossRefGoogle Scholar
  19. Griffiths, M. D., & Hunt, N. (1998). Dependence on computer games by adolescents. Psychological Reports, 82, 475–480.CrossRefPubMedGoogle Scholar
  20. Griffiths, M. D., & Wood, R. T. A. (2000). Risk factors in adolescence: the case of gambling, videogame playing, and the Internet. Journal of Gambling Studies, 16, 199–225.CrossRefPubMedGoogle Scholar
  21. Griffiths, M. D., & Davies, M. N. O. (2005). Video-game addiction: Does it exist? In J. Goldstein & J. Raessens (Eds.), Handbook of computer game studies (pp. 359–368). Boston: MIT.Google Scholar
  22. Griffiths, M. D., Davies, M. N. O., & Chappell, D. (2003). Breaking the stereotype: the case of online gaming. CyberPsychology & Behavior, 6, 81–91.CrossRefGoogle Scholar
  23. Griffiths, M. D., Davies, M. N. O., & Chappell, D. (2004). Demographic factors and playing variables in online computer gaming. CyberPsychology & Behavior, 7, 479–487.CrossRefGoogle Scholar
  24. Gupta, R., & Derevensky, J. L. (1996). The relationship between gambling and video-game playing behaviour in children and adolescents. Journal of Gambling Studies, 12, 375–394.CrossRefGoogle Scholar
  25. Hu, L. & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRefGoogle Scholar
  26. Jaffe, J. H. (1990). Trivialising dependence [Commentary]. British Journal of Addiction, 85, 1425–1427.CrossRefPubMedGoogle Scholar
  27. Johansson, A., & Gotestam, K. G. (2004). Problems with computer games without monetary reward: similarity to pathological gambling. Psychological Reports, 95, 641–650.PubMedGoogle Scholar
  28. Keepers, G. A. (1990). Pathological preoccupation with video games. Journal of the American Academy of Child and Adolescent Psychiatry, 29, 49–50.CrossRefPubMedGoogle Scholar
  29. Ladouceur, R., & Dube, D. (1995). Prevalence of pathological gambling and associated problems in individuals who visit non-gambling video arcades. Journal of Gambling Studies, 11, 361–365.CrossRefGoogle Scholar
  30. Lovibond, P. F. & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33, 335–343.CrossRefPubMedGoogle Scholar
  31. Marks, I. (1990). Behavioural (non-chemical) addictions [Editorial]. British Journal of Addiction, 85, 1389–1394.CrossRefPubMedGoogle Scholar
  32. Morlock, H., Yando, T., & Nigolean, K. (1985). Motivation of video game players. Psychological Reports, 57, 247–250.Google Scholar
  33. Muthén, L. K., & Muthén, B. O. (1998). Mplus: The comprehensive modeling program for applied research—User’s guide. Los Angeles: Muthén and Muthén.Google Scholar
  34. Ng, B. D., & Wiemer-Hastings, P. (2005). Addiction to the internet and online gaming. CyberPsychology & Behavior, 8, 110–113.CrossRefGoogle Scholar
  35. Phillips, C. A., Rolls, S., Rouse, A., & Griffiths, M. D. (1995). Home video game playing in schoolchildren: a study of incidence and patterns of play. Journal of Adolescence, 18, 687–691.CrossRefGoogle Scholar
  36. Salguero, R. A. T., & Moran, R. M. B. (2002). Measuring problem video game playing in adolescents. Addiction, 97, 1601–1606.CrossRefGoogle Scholar
  37. Selnow, G. W. (1984). Playing videogames: the electronic friend. Journal of Communication, 34, 148–156.CrossRefGoogle Scholar
  38. Shaffer, H. J., Hall, M. N., & Vander Bilt, J. (2000). “Computer Addiction”: A critical consideration. American Journal of Orthopsychiatry, 70, 162–168.CrossRefPubMedGoogle Scholar
  39. Subrahmanyam, K., Greenfield, P., Kraut, R., & Gross, E. (2001). The impact of computer use on children’s and adolescents’ development. Applied Developmental Psychology, 22, 7–30.CrossRefGoogle Scholar
  40. West, R. (2006). Theory of addiction. Oxford: Blackwell.Google Scholar
  41. Wood, R. T. A. (2007). Problems with the concept of video game “addiction”: Some case study examples. International Journal of Mental Health and Addiction, Published online 23 October 2007. Google Scholar
  42. Wood, R. T. A., Griffiths, M. D., & Eatough, V. (2004). Online data collection from video game players: methodological issues. CyberPsychology & Behavior, 7, 511.Google Scholar
  43. Yee, N. (2006). The demographics, motivations and derived experiences of users of massively multi-user online graphical environments. PRESENCE: Teleoperators and Virtual Environments, 15, 309–329.CrossRefGoogle Scholar
  44. Young, K. S. (1998). Caught in the net. New York: Wiley.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Daniel Luke King
    • 1
  • Paul H. Delfabbro
    • 1
  • Ian T. Zajac
    • 1
  1. 1.School of PsychologyThe University of AdelaideAdelaideAustralia

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