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International Journal on Disability and Human Development

Official journal of the the National Institute of Child Health and Human Development in Israel

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Volume 13, Issue 2


Family functioning, positive youth development, and internet addiction in junior secondary school students: structural equation modeling using AMOS

Lu Yu
  • Corresponding author
  • Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, P.R. China
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  • Other articles by this author:
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/ Daniel T.L. Shek
  • Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, P.R. China
  • Centre for Innovative Programmes for Adolescents and Families, The Hong Kong Polytechnic University, Hong Kong, P.R. China
  • Kiang Wu Nursing College of Macau, Macau, P.R. China
  • Department of Social Work, East China Normal University, Shanghai, P.R. China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2014-04-16 | DOI: https://doi.org/10.1515/ijdhd-2014-0308


This paper illustrates the procedure of testing full latent variable models using AMOS. Based on a sample of 4106 secondary school students in Hong Kong, the relationships among family functioning, positive youth development, and internet addiction were tested with the AMOS 17.0 program. Several competing models were examined and compared. The results revealed that both positive youth development and family functioning predicted internet addition among adolescents negatively. Higher level of family functioning also had indirect effects on students’ internet addictive behaviors through partial mediation of positive youth development. This study highlights the importance of promoting positive youth development and strengthening family functioning in reducing internet addiction in Hong Kong secondary school students.

Keywords: AMOS; Chinese adolescents; family; full latent variable model testing; internet addiction; positive youth development


  • 1.

    Hoyle R. Structural equation modeling: concepts, issues and applications. Thousand Oaks, CA: Sage, 1995.Google Scholar

  • 2.

    Shek DT, Yu L. Confirmatory factor analysis using AMOS: a demonstration. Int J Disabil Hum Dev 2014;13:191–204.Google Scholar

  • 3.

    Shek DT, Yu L. Testing factorial invariance across groups: an illustration using AMOS. Int J Disabil Hum Dev 2014;13:205–16.Google Scholar

  • 4.

    Everitt BS, Dunn G. Applied multivariate data analysis. London: Edward Arnold, 1991.Google Scholar

  • 5.

    Wright S. The method of path coefficients. Ann Math Stat 1934;5:161–215.CrossrefGoogle Scholar

  • 6.

    Blalock H Jr. Causal inferences in non-experimental research. Chapel Hill, NC: University of North Carolina Press, 1964.Google Scholar

  • 7.

    Byrne BM. Structural equation modeling with AMOS: basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum, 2001.Google Scholar

  • 8.

    Bollen KA. Structural equations with latent variables. New York: Wiley, 1989.Google Scholar

  • 9.

    Shek DT, Yu L. Use of structural equation modeling in human development research. Int J Disabil Hum Dev 2014;13:157–67.Google Scholar

  • 10.

    Shek DT, Yu L. Internet addiction in Hong Kong adolescents: profiles and psychosocial correlates. Int J Disabil Hum Dev 2012;11:133–42.Google Scholar

  • 11.

    Shek DT, Yu L. Internet addiction phenomenon in early adolescents in Hong Kong. ScientificWorldJournal 2012, Article ID 104304, 19 pages. DOI: 10.1100/2012/104304.Google Scholar

  • 12.

    Yu L, Shek DT. Internet addiction in Hong Kong adolescents: a three-year longitudinal study. J Pediatr Adolesc Gynecol 2013;26(3 Suppl):S10–7.PubMedWeb of ScienceCrossrefGoogle Scholar

  • 13.

    Leung L. Net-generation attributes and seductive properties of the Internet as predictors of online activities and Internet addiction. Cyberpsychol Behav 2004;7: 333–48.PubMedCrossrefGoogle Scholar

  • 14.

    Young KS. Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav 1998;1:237–44.CrossrefGoogle Scholar

  • 15.

    Wu HR, Zhu KJ. Path analysis on related factors causing internet addiction disorder in college students. Chin J Public Health 2004;20:1363–4.Google Scholar

  • 16.

    Hur MH. Demographic, habitual, and socioeconomic determinants of Internet Addiction Disorder: an empirical study of Korean teenagers. Cyberpsychol Behav 2006;9: 514–25.PubMedCrossrefGoogle Scholar

  • 17.

    Shek DT, Tang VM, Lo CY. Evaluation of an Internet addiction treatment program for Chinese adolescents in Hong Kong. Adolescence 2009;44:359–73.PubMedGoogle Scholar

  • 18.

    Park SK, Kim JY, Cho CB. Prevalence of Internet addiction and correlations with family factors among South Korean adolescents. Adolescence 2008;43:895–909.PubMedGoogle Scholar

  • 19.

    Shek DT, Ma CM: The Chinese Family Assessment Instrument (C-FAI): hierarchical confirmatory factor analyses and factorial invariance. Soc Indic Res 2010;20:112–23.Web of ScienceGoogle Scholar

  • 20.

    Shek DT, Ma CM: Dimensionality of the Chinese Positive Youth Development Scale: confirmatory factor analyses. Soc Indic Res 2010;98:41–59.Web of ScienceCrossrefGoogle Scholar

  • 21.

    Hu LT, Bentler PM. Evaluating model fit. In: Hoyle RH, editor. Structural equation modeling: concepts, issues, and applications. Thousand Oaks, CA: Sage, 1995:76–99.Google Scholar

About the article

Corresponding author: Lu Yu, Assistant Professor, Faculty of Health and Social Sciences, Department of Applied Social Sciences, The Hong Kong Polytechnic University, Room HJ430, Core H, Hunghom, Hong Kong, P.R. China, E-mail:

aThe authorship is carried equally between the first author and second author.

Received: 2013-01-02

Accepted: 2013-02-09

Published Online: 2014-04-16

Published in Print: 2014-05-01

Citation Information: International Journal on Disability and Human Development, Volume 13, Issue 2, Pages 227–238, ISSN (Online) 2191-0367, ISSN (Print) 2191-1231, DOI: https://doi.org/10.1515/ijdhd-2014-0308.

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