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Journal of Abnormal Child Psychology

, Volume 42, Issue 7, pp 1237–1245 | Cite as

Psychometric Properties of the Revised Chen Internet Addiction Scale (CIAS-R) in Chinese Adolescents

  • Kwok-Kei Mak
  • Ching-Man Lai
  • Chih-Hung Ko
  • Chien Chou
  • Dong-Il Kim
  • Hiroko Watanabe
  • Roger C. M. Ho
Article

Abstract

The Revised Chen Internet Addiction Scale (CIAS-R) was developed to assess Internet addiction in Chinese populations, but its psychometric properties in adolescents have not been examined. This study aimed to evaluate the factor structure and psychometric properties of CIAS-R in Hong Kong Chinese adolescents. 860 Grade 7 to 13 students (38 % boys) completed the CIAS-R, the Young’s Internet Addiction Test (IAT), and the Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA) in a survey. The prevalence of Internet addiction as assessed by CIAS-R was 18 %. High internal consistency and inter-item correlations were reported for the CIAS-R. Results from the confirmatory factor analysis suggested a four-factor structure of Compulsive Use and Withdrawal, Tolerance, Interpersonal and Health-related Problems, and Time Management Problems. Moreover, results of hierarchical multiple regression supported the incremental validity of the CIAS-R to predict mental health outcomes beyond the effects of demographic differences and self-reported time spent online. The CIAS is a reliable and valid measure of internet addiction problems in Hong Kong adolescents. Future study is warranted to validate the cutoffs of the CIAS-R for identification of adolescents with Internet use problems who may have mental health needs.

Keywords

Psychometric properties Revised Chen Internet Addiction Scale Internet addiction Chinese Adolescents 

References

  1. Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52, 317–332.CrossRefGoogle Scholar
  2. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders, fifth edition (DSM-5). Arlington: American Psychiatric Association.Google Scholar
  3. Bai, Y., & Fan, F. (2005). Da xue sheng wang luo yi lai ce liang gong ju de xiu ding yu ying yong. [A study on the Internet dependence of college students: the revising and applying of a measurement]. Psychological Development and Education, 4, 99–104.Google Scholar
  4. Bayraktar, F., & Gün, Z. (2007). Incidence and correlates of internet usage among adolescents in North Cyprus. Cyber Psychology & Behavior, 10, 191–197.CrossRefGoogle Scholar
  5. Bentler, P. M. (1992). On the fit of models to covariances and methodology to the bulletin. Psychological Bulletin, 112, 400–404.PubMedCrossRefGoogle Scholar
  6. Bentler, P. M. (2005). EQS 6 structural equations program manual. Encino, Los Angeles: Multivariate Software.Google Scholar
  7. Block, J. (2008). Issues for DSM-V: internet addiction. American Journal of Psychiatry, 165, 306–307.PubMedCrossRefGoogle Scholar
  8. Chang, M. K., & Man Law, S. P. (2008). Factor structure for Young’s internet addiction test: a confirmatory study. Computers in Human Behavior, 24, 2597–2619.CrossRefGoogle Scholar
  9. Chen, S., Weng, L., Su, Y., Wu, H., & Yang, P. (2003). Zhong wen wang lu cheng yin liang biao zhi bian zhi yu xin li ji liang te xing yan jiu. [Development of a Chinese Internet addiction scale and its psychometric study]. Chinese Journal of Psychology, 45, 279–294.Google Scholar
  10. Cheung, L. M., & Wong, W. S. (2011). The effects of insomnia and internet addiction on depression in Hong Kong Chinese adolescents: an exploratory cross-sectional analysis. Journal of Sleep Research, 20, 311–317.PubMedCrossRefGoogle Scholar
  11. Davis, R. A. (2001). Cognitive-behavioral model of pathological Internet use. Computers in Human Behavior, 17, 187–195.CrossRefGoogle Scholar
  12. Durkee, T., Kaess, M., Carli, V., Parzer, P., Wasserman, C., & Floderus, B. (2012). Prevalence of pathological internet use among adolescents in Europe: demographic and social factors. Addiction, 107, 2210–2222.PubMedCrossRefGoogle Scholar
  13. Erikson, E. (1963). Childhood and society (2nd ed.). New York: Norton.Google Scholar
  14. Fu, K. W., Chan, W. S., Wong, P. W., & Yip, P. S. (2010). Internet addiction: prevalence, discriminant validity and correlates among adolescents in Hong Kong. The British Journal of Psychiatry, 196, 486–492.PubMedCrossRefGoogle Scholar
  15. Gowers, S. G., Bailey-Rogers, S. J., Shore, A., & Levine, W. (2000). The Health of the Nation Outcome Scales for Child & Adolescent Mental Health (HoNOSCA). Child and Adolescent Mental Health, 5, 50–56.CrossRefGoogle Scholar
  16. Gowers, S. G., Harrington, R. C., Whitton, A., Lelliott, P., Beevor, A., & Wing, J. (1999). Brief scale for measuring the outcomes of emotional and behavioural disorders in children: Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA). British Journal of Psychiatry, 174, 413–416.PubMedCrossRefGoogle Scholar
  17. Griffiths, M. (2000). Does internet and computer“addiction” exist? Some case study evidence. Cyber Psychology and Behavior, 3, 211–218.CrossRefGoogle Scholar
  18. Harnett, P. H., Loxton, N. J., Sadler, T., Hides, L., & Baldwin, A. (2005). The Health of the Nation Outcome Scales for Children and Adolescents in an adolescent in-patient sample. Australian and New Zealand Journal of Psychiatry, 39, 129–135.PubMedCrossRefGoogle Scholar
  19. Huang, C. (2010). Internet addiction: stability and change. European Journal of Psychology of Education, 25, 345–361.CrossRefGoogle Scholar
  20. Huang, Z., Wang, M., Qian, M., Zhong, J., & Tao, R. (2007). Chinese internet addiction inventory: developing a measure of problematic internet use for Chinese college students. Cyber Psychology and Behavior, 10, 805–812.CrossRefGoogle Scholar
  21. Jelenchick, L. A., Becker, T., & Moreno, M. A. (2012). Assessing the psychometric properties of the Internet Addiction Test (IAT) in US college students. Psychiatry Research, 196, 296–301.PubMedPubMedCentralCrossRefGoogle Scholar
  22. Johansson, A., & Götestam, K. G. (2004). Internet addiction: characteristics of a questionnaire and prevalence in Norwegian youth (12–18 years). Scandinavian Journal of Psychology, 45, 223–229.PubMedCrossRefGoogle Scholar
  23. Ko, C. H., Yen, J. Y., Chen, C. S., Yeh, Y. C., & Yen, C. F. (2009). Predictive values of psychiatric symptoms for internet addiction in adolescents: a 2-year prospective study. Archives of Pediatrics & Adolescent Medicine, 163, 937–943.CrossRefGoogle Scholar
  24. Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. C., Yen, C. N., & Chen, S. H. (2005). Screening for internet addiction: an empirical study on cut-off points for the Chen Internet Addiction Scale. Kaohsiung Journal of Medical Sciences, 21, 545–551.PubMedCrossRefGoogle Scholar
  25. Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. S., & Wang, S. Y. (2008). The association between Internet addiction and belief of frustration intolerance: The gender difference. Cyber Psychology and Behavior, 11, 273–278.CrossRefGoogle Scholar
  26. Kraut, R., Kiesler, S., Boneva, B., Cummings, J., Helgeson, V., & Crawford, A. (2002). Internet paradox revisited. Journal of Social Issues, 58, 49–74.CrossRefGoogle Scholar
  27. Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukopadhyay, T., & Scherlis, W. (1998). Internet paradox: a social technology that reduces social involvement and psychological well-being? American Psychologist, 53, 1017–1031.PubMedCrossRefGoogle Scholar
  28. Lai, C. M., Mak, K. K., Watanabe, H., Ang, R., & Ho, R. C. (2013). Psychometric properties of the Internet Addiction Test in Chinese adolescents. Journal of Pediatric Psychology, 38, 794–807.PubMedCrossRefGoogle Scholar
  29. Lin, M. P., Ko, H. C., & Wu, J. Y. (2011). Prevalence and psychosocial risk factors associated with internet addiction in a nationally representative sample of college students in Taiwan. Cyberpsychology, Behavior and Social Networking, 14, 741–746.PubMedCrossRefGoogle Scholar
  30. Lu, D. W., Wang, J. W., & Huang, A. C. (2010). Differentiation of internet addiction risk level based on autonomic nervous responses: the internet-addiction hypothesis of autonomic activity. Cyberpsychology, Behavior and Social Networking, 13, 371–378.PubMedCrossRefGoogle Scholar
  31. Luna, B., Garver, K. E., Urban, T. A., Lazar, N. A., & Sweeney, J. A. (2004). Maturation of cognitive processes from late childhood to adulthood. Child Development, 75, 1357–1372.PubMedCrossRefGoogle Scholar
  32. Müller, K. W., Koch, A., Dickenhorst, U., Beutel, M. E., Duven, E., & Wölfling, K. (2013). Addressing the question of disorder-specific risk factors of internet addiction: a comparison of personality traits in patients with addictive behaviors and comorbid internet addiction. BioMed Research International, 2013, 546342.PubMedPubMedCentralCrossRefGoogle Scholar
  33. MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149.CrossRefGoogle Scholar
  34. Milani, L., Osualdella, D., & Di Blasio, P. (2009). Quality of interpersonal relationships and problematic internet use in adolescence. Cyber Psychology and Behavior, 12, 681–684.CrossRefGoogle Scholar
  35. Morahan-Martin, J., & Schumacher, P. (2000). Incidence and correlates of pathological internet use among college students. Computers in Human Behavior, 16, 13–29.CrossRefGoogle Scholar
  36. Shaw, M., & Black, D. W. (2008). Internet addiction: definition, assessment, epidemiology and clinical management. CNS Drugs, 22, 353–365.PubMedCrossRefGoogle Scholar
  37. Tokunaga, R. S., & Rains, S. A. (2010). An evaluation of two characterizations of the relationships between problematic internet use, time spent using the internet, and psychosocial problems. Human Communication Research, 36, 512–545.CrossRefGoogle Scholar
  38. Tsai, H. F., Cheng, S. H., Yeh, T. L., Shih, C. C., Chen, K. C., & Yang, Y. C. (2009). The risk factors of internet addiction—a survey of university freshmen. Psychiatry Research, 167, 294–299.PubMedCrossRefGoogle Scholar
  39. Wang, H., Zhou, X., Lu, C., Wu, J., Deng, X., & Hong, L. (2011). Problematic Internet use in high school students in Guangdong province, China. PloS One, 6, e19660.PubMedPubMedCentralCrossRefGoogle Scholar
  40. Widyanto, L., Griffiths, M. D., & Brunsden, V. (2011). A psychometric comparison of the Internet Addiction Test, the internet-related problem scale, and self-diagnosis. Cyber Psychology, Behavior and Social Networking, 14, 141–149.CrossRefGoogle Scholar
  41. Widyanto, L., & McMurran, M. (2004). The psychometric properties of the internet addiction test. Cyber Psychology and Behavior, 7, 443–450.CrossRefGoogle Scholar
  42. Yen, J. Y., Ko, C. H., Huang, C. F., Chen, S. H., Chung, W. L., & Chen, C. C. (2008). Psychiatric symptoms in adolescents with internet addiction: comparison with substance use. Psychiatry and Clinical Neurosciences, 62, 9–16.PubMedCrossRefGoogle Scholar
  43. Yen, J. Y., Ko, C. H., Yen, C. F., Chen, C. S., & Chen, C. C. (2009a). The association between harmful alcohol use and internet addiction among college students: comparison of personality. Psychiatry and Clinical Neurosciences, 63, 218–224.PubMedCrossRefGoogle Scholar
  44. Yen, J. Y., Ko, C. H., Yen, C. F., Wu, H. Y., & Yang, M. J. (2007). The comorbid psychiatric symptoms of internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. The Journal of Adolescent Health, 41, 93–98.PubMedCrossRefGoogle Scholar
  45. Yen, J. Y., Yen, C. F., Chen, C. S., Tang, T. C., & Ko, C. H. (2009b). The association between adult ADHD symptoms and internet addiction among college students: the gender difference. Cyber Psychology and Behavior, 12, 187–191.CrossRefGoogle Scholar
  46. Yen, J. Y., Yen, C. F., Wu, H. Y., Huang, C. J., & Ko, C. H. (2011). Hostility in the real world and online: the effect of internet addiction, depression, and online activity. Cyberpsychology, Behavior and Social Networking, 14, 649–655.PubMedCrossRefGoogle Scholar
  47. Young, K. S. (1996). Internet addiction: the emergence of a new clinical disorder. Cyber Psychology and Behavior, 1, 237–244.CrossRefGoogle Scholar
  48. Young, K. S. (1998). Caught in the Net: How to recognize the signs of internet addiction and a winning strategy for recovery. New York: Wiley.Google Scholar
  49. Young, K. S. (2000). Internet addiction: evaluation and treatment. Student BMJ, 7, 394–436.Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Kwok-Kei Mak
    • 1
  • Ching-Man Lai
    • 2
  • Chih-Hung Ko
    • 3
  • Chien Chou
    • 4
  • Dong-Il Kim
    • 5
  • Hiroko Watanabe
    • 6
  • Roger C. M. Ho
    • 7
  1. 1.Department of Community Medicine and School of Public Health, Faculty of MedicineUniversity of Hong KongPokfulamHong Kong
  2. 2.Department of PsychologyChinese University of Hong KongShatinHong Kong
  3. 3.Department of Psychiatry, Faculty of Medicine, College of MedicineKaohsiung Medical UniversityKaohsiungTaiwan
  4. 4.Institute of EducationNational Chiao Tung UniversityHsinchuTaiwan
  5. 5.Department of EducationSeoul National UniversitySeoulRepublic of Korea
  6. 6.Department of Children and Women’s Health, Division of Health ScienceGraduate School of Medicine, Osaka UniversitySuitaJapan
  7. 7.Department of Psychological MedicineYong Loo Lin School of MedicineNational University of SingaporeSingapore

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