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Student Subjective Wellbeing as a Predictor of Adolescent Problem Behaviors: a Comparison of First-Order and Second-Order Factor Effects

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Abstract

The present study investigated the predictive validity of two competing measurement models underlying the Student Subjective Wellbeing Questionnaire (SSWQ)—first-order and second-order—relative to several specific classes of adolescent problem behaviors: antisocial behavior, alcohol use, tobacco use, suicidal tendencies, nutrition habits, and school dropout. Analyses conducted with a sample or urban high-school students in Turkey (Grades 9–12, N = 374) demonstrated that the SSWQ’s first-order measurement model, which consisted of four fully-correlated factors (i.e., joy of learning, school connectedness, academic efficacy, and educational purpose), and second-order measurement model, which structured these four first-order factors as indicators of one second-order factor (i.e., student covitality), both indicated good data–model fit and strong internal reliability with the present sample. Additionally, results showed that both measurement models had substantive and relatively similar predictive power, characterized by moderate to large effect sizes, for accounting for the variance in all of the problem behaviors of interest. Findings regarding the predictive validity of the first-order measurement model further indicated that the predictive power of this model was primarily limited to two of the four students subjective wellbeing factors: academic efficacy and educational purpose. Implications for theory, practice, and future research are discussed.

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References

  • Degenhardt, L., Hall, W., & Lynskey, M. (2003). What is comorbidity and why does it occur? In M. Teesson & H. Proudfoot (Eds.), Comorbidity mental health disorders and substance use disorders: epidemiology, prevention and treatment (pp. 10–25). Sydney: National Drug and Alcohol Research Centre, University of New South Wales.

    Google Scholar 

  • Diener, E., Oishi, S., & Lucas, R. E. (2009). Subjective well-being: the science of happiness and life satisfaction. In S. J. Lopez & C. R. Snyder (Eds.), Oxford handbook of positive psychology (2nd ed., pp. 187–194). New York: Oxford.

    Google Scholar 

  • Dowdy, E., Furlong, M. J., Raines, T. C., Bovery, B., Kauffman, B., Denver, B. V., Price, M., & Murdock, J. (2015). Enhancing school-based mental health services with a preventive and promotive approach to universal screening for complete mental health. Journal of Educational and Psychological Consultation, 25, 1–20. doi:10.1080/10474412.2014.929951.

    Article  Google Scholar 

  • Furlong, M. J., You, S., Renshaw, T. L., O’Malley, M. D., & Rebelez, J. (2013). Preliminary development of the positive experiences at school scale for elementary school children. Child Indicators Research, 6, 753–775. doi:10.1007/s12187-013- 9193-7.

    Article  Google Scholar 

  • Furlong, M. J., You, S., Renshaw, T. L., Smith, D. C., & O’Malley, M. D. (2014a). Preliminary development and validation of the social and emotional health survey for secondary students. Social Indicators Research, 117, 1011–1032. doi:10.1007/ s11205-013-0373-0.

    Article  Google Scholar 

  • Furlong, M. J., Dowdy, E., Carnazzo, C., Bovery, B. L., & Kim, E. (2014b). Covitality: Fostering the building blocks of complete mental health. NASP Communiqué, 42(8), 1, 28–29.

  • Gençtanırım, D., & Ergene, T. (2014). Development of the Risk Behaviors Scale: Validity and reliability studies. International Journal of Social Science, 25, 125–138. doi:10.9761/JASSS2304

  • Gilman, R., & Huebner, S. (2003). A review of life satisfaction research with children and adolescents. School Psychology Quarterly, 18, 192–205. doi:10.1521/scpq.18.2.192.21858.

    Article  Google Scholar 

  • Hayes, S. C., Nelson, R. O., & Jarrett, R. B. (1987). The treatment utility of assessment: a functional approach to evaluating assessment quality. American Psychologist, 42, 963–974. doi:10.1037/0003-066X.42.11.963.

    Article  Google Scholar 

  • Huebner, E. S., Suldo, S. M., Smith, L. C., & McKnight, C. G. (2004). Life satisfaction in children and youth: empirical foundations and implications for school psychologists. Psychology in the Schools, 41, 81–93. doi:10.1002/pits.10140.

    Article  Google Scholar 

  • International Test Commission. (2005). International guidelines on test adaptation. Retrieved from https://www.intestcom.org/files/guideline_test_adaptation.pdf

  • Jones, C. N., You, S., & Furlong, M. J. (2013). A preliminary examination of covitality as integrated well-being in college students. Social Indicators Research, 111, 511–526. doi:10.1007/s11205-012-0017-9.

    Article  Google Scholar 

  • Kenny, D. A. (2014). Measuring model fit in structural equation modeling. Retrieved from www.davidakenny.net/cm/fit.htm.

  • Kim, E. K., Furlong, M. J., Dowdy, E., & Felix, E. D. (2014). Exploring the relative contributions of the strength and distress components of dual-factor complete mental health screening. Canadian Journal of School Psychology, 29, 127–140. doi:10.1177/0829573514529567.

    Article  Google Scholar 

  • Kline, R. B. (2008). Becoming a behavioral science researcher: a guide to producing research that matters. New York: Guilford.

    Google Scholar 

  • Kline, R. B. (2010). Principles and practice of structural equation modeling (3rd ed.). New York: Guilford.

    Google Scholar 

  • Renshaw, T. L. (2015). A replication of the technical adequacy of the student subjective wellbeing questionnaire. Journal of Psychoeducational Assessment, 33, 757–768. doi:10.1177/0734282915580885.

    Article  Google Scholar 

  • Renshaw, T. L. (2016a). Using so-called “mind–body practices” to promote youths’ wellbeing: Reflections on therapeutic outcomes, strategies, and processes. International Journal of School & Educational Psychology. doi:10.1080/21683603.2016.1130587 .Advance online publication

    Google Scholar 

  • Renshaw, T. L. (2016b). Technical adequacy of the Positive Experiences at School Scale with adolescents. Journal of Psychoeducational Assessment. doi:10.1177/0734282915627920 .Advance online publication

    Google Scholar 

  • Renshaw, T. L., & Arslan, G. (2016). Psychometric properties of the Student Subjective Wellbeing Questionnaire with Turkish adolescents: A generalizability study. Canadian Journal of School Psychology. doi:10.1177/0829573516634644 .Advance online publication

    Google Scholar 

  • Renshaw, T. L., & Bolognino, S. J. (2016). The college student subjective wellbeing questionnaire: a brief, multidimensional, domain-specific measure of undergraduates’ covitality. Journal of Happiness Studies, 17, 463–484. doi:10.1007/s10902-014-9606-4.

    Article  Google Scholar 

  • Renshaw, T. L., Furlong, M. J., Dowdy, E., Rebelez, J., Smith, D. C., O’Malley, M. D., Lee, S., & Frugård Strøm, I. (2014). Covitality: a synergistic conception of adolescents’ mental health. In M. J. Furlong, R. Gilman, & E. S. Huebner (Eds.), Handbook of positive psychology in the schools (2nd ed., pp. 12–32). New York: Routledge.

    Google Scholar 

  • Renshaw, T. L., Long, A. C. J., & Cook, C. R. (2015). Assessing adolescents’ positive psychological functioning at school: development and validation of the student subjective wellbeing questionnaire. School Psychology Quarterly, 30, 534–552. doi:10.1037/spq0000088.

    Article  Google Scholar 

  • Scales, P. C. (1999). Reducing risks and building developmental assets: essential actions for promoting adolescent health. Journal of School Health, 69, 113–119. doi:10.1111/j.1746-1561.1999.tb07219.x.

    Article  Google Scholar 

  • Scales, P. C., Benson, P. L., Roehlkepartain, E. C., Semsa, A., & Van Dulmen, M. (2006). The role of developmental assets in predicting academic achievement: a longitudinal study. Journal of Adolescence, 29, 691–708. doi:10.1016/j.adolescence.2005.09.001.

    Article  Google Scholar 

  • Seligman, M. E. P. (2011). Flourish: a visionary new understanding of happiness and well-being. New York: Free Press.

    Google Scholar 

  • Suldo, S. M., & Shaffer, E. J. (2008). Looking beyond psychopathology: the dual-factor model of mental health in youth. School Psychology Review, 37, 52–68.

    Google Scholar 

  • You, S., Furlong, M. J., Dowdy, E., Renshaw, T. L., Smith, D. C., & O’Malley, M. D. (2014). Further validation of the social and emotional health survey for high school students. Applied Research in Quality of Life, 9, 997–1105. doi:10.1007/s11482-013-9282-2.

    Article  Google Scholar 

  • You, S., Furlong, M. J., Felix, E., & O’Malley, M. (2015). Validation of the social and emotional health survey for five sociocultural groups: Multigroup invariance and latent mean analyses. Psychology in the Schools, 52, 349–362. doi:10.1002/pits.21828.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Psychological Counseling and Guidance, Süleyman Demirel University, Isparta, Turkey

    Gökmen Arslan

  2. Department of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA, 70803, USA

    Tyler L. Renshaw

Authors
  1. Gökmen Arslan
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  2. Tyler L. Renshaw
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Correspondence to Tyler L. Renshaw.

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The authors declare no conflict of interest.

Experiment Participants

The experimental protocol was approved by the authors’ institutional review board and meets all requirements laid out by governing agencies for ethical research.

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No funding was received to support the present research.

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All procedures involving human participants in this study were conducted in accordance with the ethical standards of the authors’ institutional research committees and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Arslan, G., Renshaw, T.L. Student Subjective Wellbeing as a Predictor of Adolescent Problem Behaviors: a Comparison of First-Order and Second-Order Factor Effects. Child Ind Res 11, 507–521 (2018). https://doi.org/10.1007/s12187-017-9444-0

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  • DOI: https://doi.org/10.1007/s12187-017-9444-0

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