Skip to main content
Log in

Dimensionality of the Chinese Positive Youth Development Scale: Confirmatory Factor Analyses

  • Published:
Social Indicators Research Aims and scope Submit manuscript

Abstract

This paper examines the dimensionality and factorial invariance of the Chinese Positive Youth Development Scale (CPYDS) using multigroup confirmatory factor analyses (MCFA). Secondary 1 students (N = 5,649) responded to the CPYDS in the context of a positive youth development program. Results showed that there are 15 basic dimensions of the CPYDS which are subsumed under four higher-order factors (i.e., cognitive-behavioral competencies, prosocial attributes, positive identity and general positive youth development qualities). Evidence of factorial invariance in terms of configuration, first-order factor loadings, second-order factor loadings, intercepts of measured variable, and intercepts of first-order latent factor, was found. The findings suggest that the CPYDS has stable dimensions that can be used to assess positive youth development in Chinese adolescents.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Amodeo, M., & Collin, M. E. (2007). Using a positive youth development approach in addressing problem-oriented youth behavior. Families in Society, 88(1), 75–85.

    Google Scholar 

  • Barton, W. H., Watkins, M., & Jarjoura, R. (1997). Youth and communities: Toward comprehensive strategies for youth development. Social Work, 42(5), 483–493.

    Google Scholar 

  • Benson, P. L. (1997). All kids are our kids: What communities must do to raise caring and responsible children and adolescents. San Francisco: Jossey-Bass.

    Google Scholar 

  • Benson, P. L., Mannes, M., Pittman, K., & Ferber, T. (2004). Youth development and public policy. In R. M. Lerner & L. Steinberg (Eds.), Handbook of adolescent psychology (pp. 781–814). Hoboken, NJ: Wiley.

    Google Scholar 

  • Bong, M. (1997). Generality of academic self-efficacy judgments: Evidence of hierarchical relations. Journal of Educational Psychology, 89(4), 696–709.

    Article  Google Scholar 

  • Bontempo, D. E., Hofer, S. M., & Lawrence, F. R. (2006). Assessing factorial invariance in cross-sectional and longitudinal studies. In A. Ong & M. H. M. van Dulmen (Eds.), Handbook of methods in positive psychology (pp. 153–175). New York: Oxford University Press.

    Google Scholar 

  • Breckler, S. J. (1990). Applications of covariance structure modeling in psychology: Cause for concern? Psychological Bulletin, 107(2), 260–273.

    Article  Google Scholar 

  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford.

    Google Scholar 

  • Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.

    Google Scholar 

  • Byrne, B. M., & Stewart, S. M. (2006). The MACS approach to testing for multigroup invariance of a second-order structure: A walk through the process. Structural Equation Modeling, 13(2), 287–321.

    Article  Google Scholar 

  • Catalano, R. F., Berglund, M. L., Ryan, J. A. M., Lonczak, H. S., & Hawkins, J. D. (1999). Positive youth development in the United States: Research findings on evaluations of youth development programs. Washington, DC: U. S. Department of Health and Human Services.

    Google Scholar 

  • Catalano, R. F., Berglund, M. L., Ryan, J. A. M., Lonczak, H. S., & Hawkins, J. D. (2002). Positive youth development in the United States: Research findings on evaluations of positive youth development programs. Prevention & Treatment, 5, Article 15.

  • Chen, F. F., Sousa, K. H., & West, S. G. (2005). Testing measurement invariance of second-order factor models. Structural Equation Modeling, 12(3), 471–492.

    Article  Google Scholar 

  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255.

    Article  Google Scholar 

  • Child Trends Databank. (2005). Child trends databank. Retrieved March 1, 2005 from http://www.childtrendsdatabank.org

  • Chou, C., & Bentler, P. M. (1995). Estimates and tests in structural equation modeling. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 37–55). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16–29.

    Article  Google Scholar 

  • Finney, S. J., & DiStefano, C. (2006). Non-normal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 269–312). Greenwich, CT: Information Age Publishing.

    Google Scholar 

  • Gillham, J. E., Reivich, K., & Shatté, A. (2002). Positive youth development, prevention, and positive psychology: Commentary on “Positive youth development in the United States”. Prevention & Treatment, 5, Article 18.

  • Guzman, L., Lippman, L., Moore, K. A., & O’Hare, W. (2003). How children are doing: The mismatch between public perception and statistical reality (Child trends research breif, publication #2003–12). Washington, DC: Child Trends.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Jöreskog, K. G., & Sörbom, D. (2006). LISREL 8.80: Structural equation modeling with the SIMPLIS command language. Chicago: Scientific Software International.

    Google Scholar 

  • Klein, J. D., Sabaratnam, P., Auerbach, M. M., Smith, S. M., Kodjo, C., Lewis, K., et al. (2006). Development and factor structure of a brief instrument to assess the impact of community programs on positive youth development: The Rochester Evaluation of Asset Development for Youth (READY) Tool. Journal of Adolescent Health, 39, 252–260.

    Article  Google Scholar 

  • Larson, R. W. (2000). Toward a psychology of positive youth development. American Psychologist, 55(1), 170–183.

    Article  Google Scholar 

  • Lerner, R. M. (2004). Liberty: Thriving and civic engagement among American youth. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Lerner, R. M., & Benson, P. L. (Eds.). (2003). Developmental assets and asset-building communities: Implications for research, policy, and practice. New York: Kluwer/Plenum.

    Google Scholar 

  • Lippman, L. H. (2007). Indicators and indices of child well-being: A brief American history. Social Indicators Research, 83, 39–53.

    Article  Google Scholar 

  • Marsh, H. W., Balla, J. R., & McDonald, R. P. (1988). Goodness-of-fit indices in confirmatory factor analysis: The effect of sample size. Psychological Bulletin, 102, 391–410.

    Article  Google Scholar 

  • Marsh, H. W., & Hocevar, D. (1985). The application of confirmatory factor analysis to the study self-concept. First and higher order factor structures and their invariance across age groups. Psychological Bulletin, 97, 562–582.

    Article  Google Scholar 

  • Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychomethrika, 58(4), 525–543.

    Article  Google Scholar 

  • Moore, K. A., & Lippman, L. (Eds.). (2005). What do children need to flourish? Conceptualizing and measuring indicators of positive development. New York: Springer Science & Business Publishers.

    Google Scholar 

  • Moore, K. A., Lippman, L., & Brown, B. (2004). Indicators of child well-being: The promise for positive youth development. Annals, AAPSS, 591, 125–145.

    Google Scholar 

  • National Research Council. (2002). Community programs to promote youth development. Washington, DC: National Academy Press.

    Google Scholar 

  • Park, N., & Peterson, C. (2006). Moral competence and character strengths among adolescents: The development and validation of the values in action inventory of strengths for youth. Journal of Adolescence, 29, 891–909.

    Google Scholar 

  • Rich, G. J. (2001). Positive psychology: An introduction. Journal of Humanistic Psychology, 41(1), 8–12.

    Article  Google Scholar 

  • Rich, G. J. (2003). The positive psychology of youth and adolescence. Journal of Youth and Adolescence, 32(1), 1–3.

    Article  Google Scholar 

  • Roth, J. L., & Brooks-Gunn, J. (2003). What exactly is a youth development program? Answers from research and practice. Applied Developmental Science, 7(2), 94–111.

    Article  Google Scholar 

  • Roth, J., Brooks-Gunn, J., Murray, L., & Foster, W. (1998). Promoting healthy adolescents: Synthesis of youth development program evaluations. Journal of Research on Adolescence, 8, 423–459.

    Article  Google Scholar 

  • Scales, P. C., Benson, P. L., Leffert, N., & Blyth, D. A. (2004). Contribution of developmental assets to the prediction of thriving among adolescents. Applied Developmental Science, 4, 27–46.

    Article  Google Scholar 

  • Schumacker, R. E., & Lomax, R. G. (2004). A beginner’s guide to structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Seligman, M. E. P. (2001). Comment on “priorities for prevention research at NIMH”. Prevention & Treatment, 4, Article 21.

  • Seligman, M. E. P., & Csikszentmihalyi, M. (2000). Positive psychology. American Psychologist, 55(1), 5–14.

    Article  Google Scholar 

  • Shek, D. T. L. (2002). Special issue on “Research on social work practice in Chinese communities”: Guest editor’s foreword. Research on Social Work Practice, 12, 485–489.

    Article  Google Scholar 

  • Shek, D. T. L. (2009). Effectiveness of the tier 1 program of project P.A.T.H.S.: Findings based on the first 2 years of program implementation. TheScientificWorldJOURNAL, 9, 539–547.

    Article  Google Scholar 

  • Shek, D. T. L., Lam, M. C., & Tsoi, K. W. (2004). Evidence-based practice in Hong Kong. In B. Thyer & M. A. F. Kazi (Eds.), International perspectives on evidence-based practice in social work (pp. 167–181). London: Venture Press.

    Google Scholar 

  • Shek, D. T. L., Siu, A. M. H., & Lee, T. Y. (2007). The Chinese positive youth development scale: A validation study. Research on Social Work Practice, 12(3), 380–391.

    Article  Google Scholar 

  • Shek, D. T. L., Siu, A. M. H., Lee, T. Y., Cheung, C. K., & Chung, R. (2008). Effectiveness of the tier 1 program of project P.A.T.H.S.: Objective outcome evaluation based on a randomized group trial. TheScientificWorldJOURNAL, 8, 4–12.

    Google Scholar 

  • Tanaka, J. S. (1993). Multifaceted conceptions of fit in structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 10–39). Newbury Park, CA: Sage.

    Google Scholar 

  • The Survey of Student Resources and Assets. (2009). Search institute. Retrieved August 3, 2009, from http://www.search-institute.org/content/survey-student-resources-and-assets

  • Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4–70.

    Article  Google Scholar 

  • Widaman, K. F., & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle, & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

Download references

Acknowledgments

The preparation for this paper and the Project P.A.T.H.S. were financially supported by the Hong Kong Jockey Club Charities Trust.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel T. L. Shek.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shek, D.T.L., Ma, C.M.S. Dimensionality of the Chinese Positive Youth Development Scale: Confirmatory Factor Analyses. Soc Indic Res 98, 41–59 (2010). https://doi.org/10.1007/s11205-009-9515-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-009-9515-9

Keywords

Navigation