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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

Editor-in-Chief: Merrick, Joav

Editorial Board Member: Brooks, Tony / Carmeli, BPT, Eliezer / Caron, MPH, Rosemary M. / Davidson, Philip W / Galil, Ahron / Heller, Tamar / Huff, Marlene B. / Janicki, Matthew P. / Kerr, Mike / Levy, Howard B / Lindström, Bengt / Morad, Mohammed / Omar, Hatim A. / Postolache, Teodor T. / Prasher, Vee / Shek, Daniel T.L. / Sher, Leo / Stratakis, Constantine A

4 Issues per year


CiteScore 2016: 0.25

SCImago Journal Rank (SJR) 2016: 0.179
Source Normalized Impact per Paper (SNIP) 2016: 0.234

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2191-0367
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Volume 13, Issue 2 (May 2014)

Issues

Using structural equation modeling to examine consumption of pornographic materials in Chinese adolescents in Hong Kong

Daniel T.L. Shek
  • Corresponding author
  • 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
  • Department of Social Work, East China Normal University, Shanghai, P.R. China
  • Kiang Wu Nursing College of Macau, Macau, P.R. China
  • Division of Adolescent Medicine, Department of Pediatrics, Kentucky Children’s Hospital, University of Kentucky College of Medicine, Lexington, KY, USA
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Cecilia M.S. Ma
  • Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, P.R. China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2014-04-17 | DOI: https://doi.org/10.1515/ijdhd-2014-0309

Abstract

In human developmental research, researchers always look at the effects of predictors on criterion variables, such as the influence of family on adolescent developmental outcomes. In more complex models, intervening variables such as mediators and moderators are also intrinsic to predictive relationships. Although such relationships can be examined by traditional multiple regression analyses using the ordinary least square approach, there are many limitations associated with such analyses. Alternatively, structural equation modeling represents a more powerful approach that can enable researchers to look at the relationships among three or more predictor, intervening, and criterion variables. In this paper, the influence of perceived family functioning (predictor variable) on adolescent consumption of pornographic materials (criterion variable) via positive youth development (intervening variable) was examined via LISREL in a study conducted in the context of the Project P.A.T.H.S. in Hong Kong.

This article offers supplementary material which is provided at the end of the article.

Keywords: mediating effect; path analysis; pornography consumption; positive youth development; structural equation modeling

References

  • 1.

    Conger RD, Conger KJ. Understanding the processes through which economic hardship influences families and children. In: Crane DR, Heaton TB, editors. Handbook of families and poverty. Los Angeles, CA: Sage, 2008:64–81.Google Scholar

  • 2.

    Conger RD, Donnellan MB. An interactionist perspective on the socioeconomic context of human development. Annu Rev Psychol 2007;58:175–99.PubMedCrossrefWeb of ScienceGoogle Scholar

  • 3.

    Sun RC, Shek DT. Life satisfaction, positive youth development and problem behaviour among Chinese adolescents in Hong Kong. Soc Indic Res 2010;95:455–74.PubMedCrossrefWeb of ScienceGoogle Scholar

  • 4.

    Sun RC, Shek DT. Positive youth development, life satisfaction and problem behaviour among Chinese adolescents in Hong Kong: a replication. Soc Indic Res 2012;105:541–59.Web of ScienceCrossrefGoogle Scholar

  • 5.

    Shek DT, Tsoi KW, Lau PS, Tsang SK, Lam MC, Lam CM. Psychological well-being, school adjustment and problem behavior in Chinese adolescents: do parental qualities matter? Int J Adolesc Med Health 2001;13:231–43.Google Scholar

  • 6.

    Shek DT. Chinese cultural beliefs about adversity: its relationship to psychological well-being, school adjustment and problem behavior in Chinese adolescents with and without economic disadvantage. Childhood 2004; 11:63–80.CrossrefGoogle Scholar

  • 7.

    Sullivan MJ, Thorn B, Rodgers W, Ward C. Path model of psychological antecedents to pain experience: experimental and clinical findings. Clin J Pain 2004;20:164–73.CrossrefPubMedGoogle Scholar

  • 8.

    Deimling GT, Smerglia VL, Schaefer ML. Family environment and decision-making satisfaction on caregiver depression: a path analytic model. J Aging Health 2001;13:47–71.CrossrefPubMedGoogle Scholar

  • 9.

    Shek DT. A longitudinal study of Hong Kong adolescents’ and parents’ perceptions of family functioning and well-being. J Genet Psychol 1998;159:389–403.PubMedCrossrefGoogle Scholar

  • 10.

    Shek DT. Longitudinal study of the relationship between family functioning to adolescent psychological well-being. J Youth Stud 1998;1:195–209.CrossrefGoogle Scholar

  • 11.

    Shek DT. Family functioning and psychological well-being, school adjustment, and problem behavior in Chinese adolescent girls experiencing economic disadvantage. Fam Ther 2002;29:33–48.Google Scholar

  • 12.

    Shek DT, Ma HK, Sun RC. A brief overview of adolescent developmental problems in Hong Kong. ScientificWorldJournal 2011;11:2243–56.CrossrefPubMedGoogle Scholar

  • 13.

    Shek DT, Ma HK, Sun RC. Development of a new curriculum in a positive youth development program: the Project P.A.T.H.S. in Hong Kong. ScientificWorldJournal 2011;11:2207–18.CrossrefGoogle Scholar

  • 14.

    Shek DT, Ma CM. Impact of the Project P.A.T.H.S. in the junior secondary school years: objective outcome evaluation based on eight waves of longitudinal data. ScientificWorldJournal 2012; DOI: 10.1100/2012/170345.CrossrefPubMedGoogle Scholar

  • 15.

    Shek DT, Yu L. Longitudinal impact of the Project P.A.T.H.S. on adolescent risk behavior: what happened after five years. ScientificWorldJournal 2012; doi: 10.1100/2012/316029.PubMedCrossrefGoogle Scholar

  • 16.

    Shek DT, Siu AM, Lee TY. The Chinese Positive Youth Development Scale: a validation study. Res Soc Work Prac 2007;12:380–91.CrossrefGoogle Scholar

  • 17.

    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

  • 18.

    Shek DT. Assessment of family functioning: the Chinese version of the Family Assessment Device. Res Soc Work Prac 2002;12:502–24.CrossrefGoogle Scholar

  • 19.

    Shek DT. Assessment of family functioning Chinese adolescents: the Chinese Family Assessment Instrument. In: Singh NN, Ollen-Dick T, Singh AN, editors. International perspectives on child and adolescent mental health. Amsterdam: Elsevier, 2002:297–316.Google Scholar

  • 20.

    Siu AM, Shek DT. Psychometric properties of the Chinese Family Assessment Instrument in Chinese adolescents in Hong Kong. Adolescence 2005;40:817–30.PubMedGoogle Scholar

  • 21.

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

  • 22.

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

  • 23.

    Jöreskog KG, Sörbom D. LISREL 8.80: structural equation modeling with the SIMPLIS command language. Chicago, IL: Scientific Software International, 2006.Google Scholar

  • 24.

    Steiger JH, Lind JC. Statistically based tests for the number of common factors. Paper presented at the Annual Meeting of the Psychometric Society, Iowa City, IA, 1980.Google Scholar

  • 25.

    Bentler PM. Comparative fit indexes in structural models. Psychol Bull 1990;107:238–46.PubMedCrossrefGoogle Scholar

  • 26.

    Bentler PM, Bonnet DC. Significance tests and goodness of fit in the analysis of covariance structures. Psychol Bull 1980;88:588–606.CrossrefGoogle Scholar

  • 27.

    Schumacker RE, Lomax RG. A beginner’s guide to structural equation modeling, 2nd ed. Mahwah, NJ: Lawrence Erlbaum, 2004.Google Scholar

  • 28.

    Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equat Model 1999;6:1–55.Google Scholar

  • 29.

    Kline RB. Principles and practices of structural equation modeling. New York: Guilford, 2005.Google Scholar

  • 30.

    Satorra A, Bentler PM. Corrections to test statistics and standard errors in covariance structure analysis. In: von Eye A, Clogg CC, editors. Latent variables analysis. Thousand Oaks, CA: Sage, 1994:399–419.Google Scholar

  • 31.

    Finney SJ, DiStefano C. Non-normal and categorical data in structural equation modeling. In: Hancock GR, Mueller RO, editors. Structural equation modeling: a second course. Greenwich, CT: Information Age Publishing, 2006:269–312.Google Scholar

  • 32.

    Hooper D, Couglan J, Mullen MR. Structural equation modeling: guidelines for determining model fit. Electron J Business Res Methods 2008;6:53–60.Google Scholar

  • 33.

    Miles J, Shevlin M. A time and a place for incremental fit indices. Pers Indiv Diff 2007;42:869–74.Google Scholar

  • 34.

    Hald GM. Gender differences in pornography consumption among young heterosexual Danish adults. Arch Sex Behav 2006;35:577–85.PubMedCrossrefGoogle Scholar

  • 35.

    Cameron KA, Salazar LF, Bernhardt JM, Burgess-Whitman N, Wingood GM, DiClemente RJ. Adolescents’ experience with sex on the web: results from online focus groups. J Adolesc 2005;28:535–40.PubMedCrossrefGoogle Scholar

About the article

Corresponding author: Professor Daniel T.L. Shek, PhD, FHKPS, BBS, JP, Chair Professor of Applied Social Sciences, Faculty of Health and Social Sciences, Department of Applied Social Sciences, The Hong Kong Polytechnic University, Room HJ407, Core H, Hunghom, Hong Kong, P.R. China, E-mail:


Received: 2013-01-02

Accepted: 2013-02-09

Published Online: 2014-04-17

Published in Print: 2014-05-01


Citation Information: International Journal on Disability and Human Development, ISSN (Online) 2191-0367, ISSN (Print) 2191-1231, DOI: https://doi.org/10.1515/ijdhd-2014-0309.

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