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Factor Structure and Criterion Validity of the Five Cs Model of Positive Youth Development in a Multi-University Sample of College Students

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Abstract

There is growing recognition that clinical and developmental outcomes will be optimized by interventions that harness strengths in addition to ameliorating deficits. Although empirically-supported methods for identifying strengths are available for children and adolescents, this framework has yet to be applied to emerging adulthood. This study evaluates the nature of the Five Cs model of Positive Youth Development (PYD) – character, confidence, competence, connection, and caring – in a sample of emerging adults from six universities (N = 4654; 70% female; 81% White). Historically, PYD has been modeled as either separate correlated factors or a second-order factor structure. More recently, the bifactor model has been recommended to determine the degree to which PYD is unidimensional versus multidimensional. The present study examined the multidimensionality of PYD by comparing the model fit of a one-factor, five-correlated factor model, and second-order factor structure with a bifactor model and found support for the bifactor model with evidence of invariance across sex. Criterion validity was also assessed using three criterion measures particularly relevant for adjustment during emerging adulthood: anxiety, depressive symptoms, and emotion regulation difficulties. PYD and the residual Cs tended to correlate negatively with indicators of maladaptive development. Future directions including applications of the PYD framework as a measure of thriving across emerging adulthood are discussed.

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References

  • Albert, M. A., & Dahling, J. J. (2016). Learning goal orientation and locus of control interact to predict academic self-concept and academic performance in college students. Personality and Individual Differences, 97, 245–248.

    Article  Google Scholar 

  • Antony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998). Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychological Assessment, 10(2), 176.

    Article  Google Scholar 

  • Armsden, G., & Greenberg, M. (1987). The inventory of parent and peer attachment: individual differences and their relationship to psychological well-being in adolescence. Journal of Youth and Adolescence, 16, 427–454.

    Article  PubMed  Google Scholar 

  • Arnett, J. J. (2000). Emerging adulthood: a theory of development from the late teens through the twenties. American psychologist, 55(5), 469.

    Article  PubMed  Google Scholar 

  • Arnett, J. J. (2016). College students as emerging adults: the developmental implications of the college context. Emerging Adulthood, 4(3), 219–222.

    Article  Google Scholar 

  • Becker, S. P., Burns, G. L., Garner, A. A., Jarrett, M. A., Luebbe, A. M., Epstein, J. N., & Willcutt, E. G. (2018). Sluggish cognitive tempo in adults: psychometric validation of the Adult Concentration Inventory. Psychological Assessment, 30, 296–310. https://doi.org/10.1037/pas0000476.

    Article  PubMed  Google Scholar 

  • Ben-Naim, S., Laslo-Roth, R., Einav, M., Biran, H., & Margalit, M. (2017). Academic self-efficacy, sense of coherence, hope and tiredness among college students with learning disabilities. European Journal of Special Needs Education, 32(1), 18–34.

    Article  Google Scholar 

  • Benson, P. L., Leffert, N., Scales, P. C., & Blyth, D. A. (1998). Beyond the “village” rhetoric: Creating healthy communities for children and adolescents. Applied Developmental Science, 2, 138–159.

    Article  Google Scholar 

  • Brewer, S. E., Nicotera, N., Veeh, C., & Laser-Maira, J. A. (2018). Predictors of positive development in first year college students. Journal of American College Health, (online first), 1–12.

  • Bowers, E. P., Li, Y., Kiely, M. K., Brittian, A., Lerner, J. V., & Lerner, R. M. (2010). The five Cs model of positive youth development: a longitudinal analysis of confirmatory factor structure and measurement invariance. Journal of Youth and adolescence, 39(7), 720–735.

    Article  PubMed  Google Scholar 

  • Brouwer, D., Meijer, R. R., & Zevalkink, J. (2013). On the factor structure of the beck depression inventory – G is the key. Psychological Assessment, 25, 136–145.

    Article  PubMed  Google Scholar 

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

    Google Scholar 

  • Bruffaerts, R., Mortier, P., Kiekens, G., Auerbach, R. P., Cuijpers, P., Demyttenaere, K., & Kessler, R. C. (2018). Mental health problems in college freshmen: Prevalence and academic functioning. Journal of Affective Disorders, 225, 97–103.

    Article  PubMed  Google Scholar 

  • Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation modeling, 14(3), 464–504.

    Article  Google Scholar 

  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255.

    Article  Google Scholar 

  • Connor, K. M., & Davidson, J. R. (2003). Development of a new resilience scale: the Connor‐Davidson resilience scale (CD‐RISC). Depression and Anxiety, 18(2), 76–82.

    Article  PubMed  Google Scholar 

  • Conway, R. J., Heary, C., & Hogan, M. J. (2015). An evaluation of the measurement properties of the five Cs model of positive youth development. Frontiers in Psychology, 6, 1941.

    Article  PubMed  PubMed Central  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 

  • Eccles, J. S. (2004). Schools, academic motivation, and stage-environment fit. In R. M. Lerner, & L. Steinberg, (eds.) Handbook of adolescent psychology. (pp. 125–154). Hoboken, NJ: John Wiley.

    Google Scholar 

  • Eccles, J. & Gootman, J. (Eds.) (2002). Community programs to promote youth development. Washington, DC: National Academy Press.

    Google Scholar 

  • Eid, M., Geiser, C., Koch, T., & Heene, M. (2017). Anomalous results in G-factor models: explanations and alternatives. Psychological Methods, 22(3), 541–562.

    Article  PubMed  Google Scholar 

  • Eisenberg, N., Fabes, R. A., Murphy, B. C., Karbon, M., Smith, M., & Maszk, P. (1996). The relations of children’s dispositional empathy-related responding to their emotionality, regulation, and social functioning. Developmental Psychology, 32, 195–209.

    Article  Google Scholar 

  • Enochs W. K., & Roland C. B. (2006). Social adjustment of college freshmen: the importance of gender and living environment. College Student Journal, 40(1), 63–73.

    Google Scholar 

  • Geldhof, G. J., Bowers, E. P., Boyd, M. J., Mueller, M. K., Napolitano, C. M., Schmid, K. L., & Lerner, R. M. (2013). Creation of short and very short measures of the five Cs of positive youth development. Journal of Research on Adolescence, 24(1), 163–176.

    Article  Google Scholar 

  • Geldhof, G. J., Bowers, E. P., Mueller, M. K., Napolitano, C. M., Callina, K. S., & Lerner, R. M. (2014). Longitudinal analysis of a very short measure of positive youth development. Journal of Youth and Adolescence, 43(6), 933–949.

    Article  PubMed  Google Scholar 

  • Gratz, K. L., & Roemer, L. (2004). Multidimensional assessment of emotion regulation and dysregulation: Development, factor structure, and initial validation of the difficulties in emotion regulation scale. Journal of Psychopathology and Behavioral Assessment, 26(1), 41–54.

    Article  Google Scholar 

  • Gray, R., Vitak, J., Easton, E. W., & Ellison, N. B. (2013). Examining social adjustment to college in the age of social media: Factors influencing successful transitions and persistence. Computers & Education, 67, 193–207.

    Article  Google Scholar 

  • Harter, S. (1983). Development perspectives on the self-system. In Paul H. Mussen (Ed.), Handbook of child psychology: formerly Carmichael’s Manual of child psychology. Wiley: New York, NY.

  • Harter, S. (2012). Self-perception profile for adolescents: Manual and questionnaires. Denver: University of Denver.

    Google Scholar 

  • Heck, K. E., & Subramaniam, A. (2009). Youth development Frameworks. [Monograph]. Davis, CA: 4-H Center for Youth Development. California: University of California.

    Google Scholar 

  • Holsen, I., Geldhof, J., Larsen, T., & Aardal, E. (2017). The five Cs of positive youth development in Norway: Assessment and associations with positive and negative outcomes. International Journal of Behavioral Development, 41(5), 559–569.

    Article  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 

  • Hunt J., & Eisenberg D. (2010). Mental health problems and help-seeking behavior among college students. Journal of Adolescent Health, 46(1), 3–10.

    Article  Google Scholar 

  • Jelicic, H., Bobek, D. L., Phelps, E., Lerner, R. M., & Lerner, J. V. (2007). Using positive youth development to predict contribution and risk behaviors in early adolescence: findings from the first two waves of the 4-H Study of Positive Youth Development. International Journal of Behavioral Development, 31(3), 263–273.

    Google Scholar 

  • Johnson, M. L., Taasoobshirazi, G., Kestler, J. L., & Cordova, J. R. (2015). Models and messengers of resilience: a theoretical model of college students’ resilience, regulatory strategy use, and academic achievement. Educational Psychology, 35(7), 869–885.

    Article  Google Scholar 

  • King, P. E., Dowling, E. M., Mueller, R. A., White, K., Schultz, W., Osborn, P., & Scales, P. C. (2005). Thriving in adolescence: The voices of youth-serving practitioners, parents, and early and late adolescents. The Journal of Early Adolescence, 25(1), 94–112.

    Article  Google Scholar 

  • Leong, F. T., Bonz, M. H., & Zachar, P. (1997). Coping styles as predictors of college adjustment among freshmen. Counselling Psychology Quarterly, 10(2), 211–220.

    Article  Google Scholar 

  • Lerner, J. V., Phelps, E., Forman, Y., & Bowers, E. P. (2009a). Positive youth development. In R. M. Lerner & L. Steinberg (Eds.), Handbook of adolescent psychology: Vol 1. Individual bases of adolescent development. 3rd ed. (pp. 524–558). Hoboken, NJ: Wiley.

    Chapter  Google Scholar 

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

    Google Scholar 

  • Lerner, R. M., Agans, J. P., Arbeit, M. R., Chase, P. A., Weiner, M. B., Schmid, K. L., & Warren, A. E. A. (2013). Resilience and positive youth development: a relational developmental systems model. In Handbook of resilience in children. Boston, MA: Springer 293–308.as findings are mixed depending

    Google Scholar 

  • Lerner, R. M., Lerner, J. V., Almerigi, J., Theokas, C., Phelps, E., & Gestsdottir, S., et al. (2005). Positive youth development, participation in community youth development proas findings are mixed dependinggrams, and community contributions of fifth grade adolescents: findings from the first wave of the 4-H Studas findings are mixed dependingy of Positive Youth Development. Journal of Early Adolescence, 25(1), 17–71.

    Article  Google Scholar 

  • Lerner, R. M., Lerner, J. V., von Eye, A., Bowers, E. P., & Lewin-Bizan, S. (2011). Individual and contextual bases of thriving in adolescence: a view of the issues. Journal of Adolescence, 34(6), 1107–1114.

    Article  PubMed  Google Scholar 

  • Lerner, R. M., von Eye, A., Lerner, J. V., & Lewin-Bizan S. (2009b). Exploring the foundations and functions of adolescent thriving within the 4-H study of positive youth development: a view of the issues. Journal of Applied Developmental Psychology, 30(5), 567–570.

  • Lerner, R., Lerner, J., Almerigi, J., Theokas, C., Phelps, E., & Gestsdottir, S. N. (2010). Scoring protocol measure of PYD (4-H Study of PYD). Journal of Early Adolescence, 25(1), 17–71.

    Article  Google Scholar 

  • Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33(3), 335–343.

    Article  PubMed  Google Scholar 

  • MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological bulletin, 111(3), 490–504.

    Article  PubMed  Google Scholar 

  • Marsh, H., Hau, K.-T., & Grayson, D. (2005). Goodness of fit in structural equation models. In: In A. Maydeu-Olivares, J. J. McArdle, (eds.) Contemporary psychometrics. (pp. 275–340). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Masten, A. S. (2011). Resilience in children threatened by extreme adversity: Frameworks for research, practice, and translational synergy. Development and Psychopathology, 23(2), 493–506.

    Article  PubMed  Google Scholar 

  • Masten, A. S. (2014). Invited commentary: resilience and positive youth development frameworks in developmental science.

  • Masten, A. S., Obradović, J., & Burt, K. (2006). Resilience in emerging adulthood: developmental perspectives on continuity and transformation: coming of age in the 21st Century. In J. J. Arnett & J. L. Tanner (Eds.), Emerging adults in America Coming of age in the 21st Century (pp. 173–190). Washington, DC, US: American Psychological Association.

    Chapter  Google Scholar 

  • Mueller, M. K., Phelps, E., Bowers, E. P., Agans, J. P., Urban, J. B., & Lerner, R. M. (2011). Youth development program participation and intentional self-regulation skills: Contextual and individual bases of pathways to positive youth development. Journal of adolescence, 34(6), 1115–1125.

    Article  PubMed  Google Scholar 

  • Muthén, L., & Muthén, B. (1998). Mplus User’s Guide, 8th ed. Los Angeles, CA: Muthén & Muthén. 2017.

    Google Scholar 

  • National Center for Education Statistics (2017). Total fall enrollment in degree-granting post-secondary institutions, by level of enrollment, sex, attendance status, and race/ethnicity of student: selected years, 1976 through 2016.

  • Oppenheimer, D. M., Meyvis, T., & Davidenko, N. (2009). Instructional manipulation checks: Detecting satisficing to increase statistical power. Journal of Experimental Social Psychology, 45(4), 867–872.

    Article  Google Scholar 

  • Osborne, J. W., & Fitzpatrick, D. C. (2012). Replication analysis in exploratory factor analysis: what it is and why it makes your analysis better. Practical Assessment, 17(15), 1–8.

    Google Scholar 

  • Phelps, E., Zimmerman, S., Warren, A. E. A., Jeličić, H., von Eye, A., & Lerner, R. M. (2009). The structure and developmental course of positive youth development (PYD) in early adolescence: Implications for theory and practice. Journal of Applied Developmental Psychology, 30(5), 571–584.

    Article  Google Scholar 

  • Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47(5), 667–696.

    Article  PubMed  PubMed Central  Google Scholar 

  • Reise, S. P., Scheines, R., Widaman, K. F., & Haviland, M. G. (2013). Multidimensionality and structural coefficient bias in structural equation modeling: a bifactor perspective. Educational and Psychological Measurement, 73(1), 5–26.

    Article  Google Scholar 

  • Rhemtulla, M., Brosseau-Liard, P. É., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354.

    Article  PubMed  Google Scholar 

  • Stone, A. L., Becker, L. G., Huber, A. M., & Catalano, R. F. (2012). Review of risk and protective factors of substance use and problem use in emerging adulthood. Addictive behaviors, 37(7), 747–775.

    Article  PubMed  Google Scholar 

  • Roth, J. L., & Brooks-Gunn, J. (2003). Youth development programs: Risk, prevention and policy. Journal of Adolescent Health, 32(3), 170–182.

    Article  Google Scholar 

  • Sinclair, S. J., Siefert, C. J., Slavin-Mulford, J. M., Stein, M. B., Renna, M., & Blais, M. A. (2012). Psychometric evaluation and normative data for the depression, anxiety, and stress scales-21 (DASS-21) in a nonclinical sample of US adults. Evaluation & the Health Professions, 35(3), 259–279.

    Article  Google Scholar 

  • Small, S. A., & Rodgers, K. B. (1995). Teen assessment project (TAP) survey question bank. Madison, WI: University of Wisconsin, Madison.

    Google Scholar 

  • Xiao, H., Carney, D. M., Youn, S. J., Janis, R. A., Castonguay, L. G., Hayes, J. A., & Locke, B. D. (2017). Arewe in crisis? National mental health and treatment trends in college counseling centers. Psychological services, 14(4), 407.

    Article  PubMed  Google Scholar 

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Authors’ Contributions

MD conceived the study, made substantive intellectual contributions to the concept and design of this study and the preparation of this manuscript. MD was responsible for performing all analyses and interpretations of the data and led the coordination and drafting of the manuscript. MK conceived the study, participated in the design and coordination of the study, and preparation of this manuscript by contributing to the revisions of drafts of this manuscript content, and providing guidance on the acquisition of data. GB provided guidance on the analytic plan, participated in the design and helped to draft the manuscript. AL, AG, and MJ participated in the design and coordination of the study and provided revisions on the drafting of the manuscript. ES participated in the drafting of this manuscript. SB participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.

Funding

Stephen Becker is supported by award number K23MH108603 from the National Institute of Mental Health (NIMH). The content is solely the responsibility of the authors and does not necessarily represent the official views of the U.S. National Institutes of Health (NIH).

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Correspondence to Melissa R. Dvorsky.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

Informed Consent

At five of the universities, a waiver of consent was obtained since no identifying information was collected. A detailed information sheet was presented to participants before starting the survey and stated that “by choosing to move forward with the survey and submitting your completed survey, you indicate your consent for your answers to be used in this research study.” The information sheet also provided participants with information about the study, as well as risks/benefits, their rights as participants, that they could choose to not answer any question, and that they could withdraw at any time without penalty. At the sixth university, in person informed consent was obtained.

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Dvorsky, M.R., Kofler, M.J., Burns, G.L. et al. Factor Structure and Criterion Validity of the Five Cs Model of Positive Youth Development in a Multi-University Sample of College Students. J Youth Adolescence 48, 537–553 (2019). https://doi.org/10.1007/s10964-018-0938-y

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