Swipe om te navigeren naar een ander artikel
The development of measures of children and adolescents’ subjective well-being is crucial to the conceptualization and evaluation of positive mental health. The aim of this study was to investigate the factorial structure and invariance of the Mental Health Continuum-Short Form (MHC-SF—adolescents) across children and youths. Participants were from two different samples: 208 elementary school children (sample 1) and 216 middle school youths (sample 2). Results confirmed the three-dimensional structure of subjective well-being in both samples. The three sub-scales of the MHCSF yielded high internal consistency and results from the HTMT85 indicated discriminant validity. Measurement invariance testing across three different age groups (7–8, 9–10 and 11–14 years) confirmed the full metric and approximate scalar invariance of the MHC-SF. Full scalar invariance was achieved across gender. The study also compared the latent means for mental well-being in the three age groups, and found that the younger groups showed significantly higher levels of wellbeing. The present research study strongly suggests that the MHC-SF (adolescents) is an appropriate instrument to measure the positive mental health and well-being of children and pre-adolescents as multidimensional construct.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
American Psychological Association. (2009). Publication manual of the American Psychological Association. Washington, D.C.: American Psychological Association.
Arbuckle, J. L. (2008). Amos 17 user’s guide. Chicago, IL: SPSS.
Ben-Arieh, A. (2006). Measuring and monitoring the well-being of young children around the world. In Paper Commissioned for the EFA Global Monitoring Report 2007, Strong Foundations: Early Childhood Care and Education. Retrieved from http://unesdoc.unesco.org/images/0014/001474/147444e.pdf.
Ben-Arieh, A. (2010). Developing indicators for child well-being in a changing context. In C. McAuley & W. Rose (Eds.), Child well-being: Understanding children’s lives (pp. 129–142). London: Jessica Kingsley Publishers.
Bornstein, M. H., Davidson, L., Keyes, C. L. M., Moore, K. A., & The Center for Child Well-being (Eds.). (2003). Well-being: Positive development across the life course. Mahwah, NJ: Lawrence Erlbaum Associates.
Bradburn, N. M. (1969). The structure of psychological well-being. Chicago: Aldine.
Cantril, H. (1965). The pattern of human concerns. New Brunswick, NJ: Rutgers University Press.
Castilla-Peón, M. F. (2014). Bienestar infantil: Es posible medirlo? Boletín Médico del Hospital Infantil de México, 71(1), 61–64.
Deighton, J., Croudace, T., Fonagy, P., Brown, J., Patalay, P., & Wolpert, M. (2014). Measuring mental health and wellbeing outcomes for children and adolescents to inform practice and policy: A review of child self-report measures. Child and Adolescent Psychiatry and Mental Health, 8(1), 1–20. doi: 10.1186/1753-2000-8-14. CrossRef
Eccles, J., Templeton, J., Barber, B., & Stone, M. (2003). Adolescence and emerging adulthood: The critical passage ways to adulthood. In M. H. Bornstein, L. Davidson, C. L. M. Keyes, K. A. Moore, & The Center for Child Well-being (Eds.), Well-being: Positive development across the life course (pp. 383–406). Mahwah, NJ: Lawrence Erlbaum Associates.
Hair, J. F., Black, W., Babin, B., Anderson, R. E., & Tatham, R. L. (2005). Multivariate data analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall.
Helliwell, J., Layard, R., & Sachs, J. (Eds.). (2015). World happiness report 2015. New York: Sustainable Development Solutions Network.
Kline, R. (2011). Principles and practices of structural equation modeling (3rd ed.). NY: Guilford Press.
Lucas, R. E., & Gohm, C. L. (2000). Age and sex differences in subjective well-being across cultures. In E. Diener & E. M. Suh (Eds.), Culture and subjective well-being (pp. 291–318). London: MIT Press.
Marôco, J. (2014a). Análise de equações estruturais – Fundamentos teóricos, software & aplicações (2ª edição). Pêro Pinheiro: Report Number.
Marôco, J. (2014b). Análise estatística com o SPSS Statistics (6ª edição). Pêro Pinheiro: Report Number.
Miles, J., Espiritu, R. C., Horen, N., Sebian, J., & Waetzig, E. (2010). A Public health approach to children’s mental health: A conceptual framework. Washington, DC: Georgetown University Center for Child and Human Development, National Technical Assistance Center for Children’s Mental Health.
Millsap, R. (2011). Statistical approaches to measurement invariance. New York: Routdlege.
Moore, K. A., & Keyes, C. (2003). A brief history of well-being in children and adults. In M. H. Bornstein, L. Davidson, C. Keyes, K. A. Moore & The Center for Child Well-being (Eds.), Well- being: Positive development across the life course (pp. 1–11). Mahwah, NJ: Lawrence Erlbaum Associates.
Muthén, B. O., & Asparouhov, T. (2014). IRT studies of many groups: The alignment method. Frontiers in Psychology, 5, 1–21. doi: 10.3389/fpsyg.2014.00978.
Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user’s guide, 7th ed. Los Angeles, CA: Muthén & Muthén.
Raghavan, R., & Alexandrova, A. (2014). Toward a theory of child well-being. Social Indicators Research, 80(1), 133–177. doi: 10.1007/s11205-014-0665-z.
Rees, G., Pople, L., & Goswami, H. (2011). Understanding children’s well-being links between family economic factors and children’s subjective well-being: Initial findings from Wave 2 and Wave 3 quarterly surveys. London: The Children’s Society.
The Children’s Society. (2013). The Good Childhood Report 2013. Retrieved from http://www.childrenssociety.org.uk/sites/default/files/good_childhood_report_2013_final.pdf.
World Health Organization. (2001). Basic documents (43rd ed.). Geneva: World Health Organization.
- Psychometric Properties of the Mental Health Continuum-Short Form: A Study of Portuguese Speaking Children/Youths
Joana Sampaio de Carvalho
Nádia Salgado Pereira
Alexandra Marques Pinto
- Springer US