Dimensionality of the Chinese positive youth development scale: Confirmatory factor analyses

Social Indicators Research

Volumn 98, Issue 1, 2010, Pages 41-59

  Shek, Daniel T L ^a   Ma, Cecilia M S ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Chinese adolescents; Chinese Positive Youth Development Scale; Confirmatory factor analysis; Positive youth development

Indexed keywords

ADOLESCENCE; FACTOR ANALYSIS; SOCIAL DEVELOPMENT; YOUNG POPULATION;

CHINA;

EID: 77955266838     PISSN: 03038300     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11205-009-9515-9     Document Type: Article

References (51)

1. 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.
2. Barton, W. H., Watkins, M., & Jarjoura, R. (1997). Youth and communities: Toward comprehensive strategies for youth development. Social Work, 42(5), 483-493.
3. 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.
4. 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.
5. Bong, M. (1997). Generality of academic self-efficacy judgments: Evidence of hierarchical relations. Journal of Educational Psychology, 89(4), 696-709.
6. 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.
7. Breckler, S. J. (1990). Applications of covariance structure modeling in psychology: Cause for concern? Psychological Bulletin, 107(2), 260-273.
8. Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford.
9. Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
10. 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.
11. 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.
12. 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.
13. 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.
14. Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233-255.
15. Child Trends Databank. (2005). Child trends databank. Retrieved March 1, 2005 from http://www. childtrendsdatabank. org.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. Jöreskog, K. G., & Sörbom, D. (2006). LISREL 8. 80: Structural equation modeling with the SIMPLIS command language. Chicago: Scientific Software International.
23. 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.
24. Larson, R. W. (2000). Toward a psychology of positive youth development. American Psychologist, 55(1), 170-183.
25. Lerner, R. M. (2004). Liberty: Thriving and civic engagement among American youth. Thousand Oaks, CA: Sage.
26. Lerner, R. M., & Benson, P. L. (Eds.). (2003). Developmental assets and asset-building communities: Implications for research, policy, and practice. New York: Kluwer/Plenum.
27. Lippman, L. H. (2007). Indicators and indices of child well-being: A brief American history. Social Indicators Research, 83, 39-53.
28. 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.
29. 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.
30. Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychomethrika, 58(4), 525-543.
31. 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.
32. Moore, K. A., Lippman, L., & Brown, B. (2004). Indicators of child well-being: The promise for positive youth development. Annals, AAPSS, 591, 125-145.
33. National Research Council. (2002). Community programs to promote youth development. Washington, DC: National Academy Press.
34. 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.
35. Rich, G. J. (2001). Positive psychology: An introduction. Journal of Humanistic Psychology, 41(1), 8-12.
36. Rich, G. J. (2003). The positive psychology of youth and adolescence. Journal of Youth and Adolescence, 32(1), 1-3.
37. 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.
38. 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.
39. 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.
40. Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.
41. Seligman, M. E. P. (2001). Comment on "priorities for prevention research at NIMH". Prevention & Treatment, 4, Article 21.
42. Seligman, M. E. P., & Csikszentmihalyi, M. (2000). Positive psychology. American Psychologist, 55(1), 5-14.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.