Psychosocial reserve capacity, family background and selection of an educational path – a longitudinal study from Finland

References

• Acacio-Claro, P., Koivusilta, L. K., Doku, D. T., & Rimpelä, A. H. (2019). Timing of puberty and reserve capacity in adolescence as pathways to educational level in adulthood—a longitudinal study. Annals of Human Biology, 46(1), 35–45. https://doi.org/10.1080/03014460.2019.1596311
   PubMed Web of Science ®Google Scholar
• ACT. (2007). Impact of cognitive, psychosocial, and career factors on educational and workplace success. Issues in college success. Retrieved September 30, 2021, from https://files.eric.ed.gov/fulltext/ED510542.pdf
   Google Scholar
• Ansalone, G. (2000). Keeping on track: A reassessment of tracking in the schools. Race, Gender & Class, 7(3), 108–132. Retrieved June 25, 2021, from: http://www.jstor.org/stable/41674950
   Google Scholar
• Becker, R., & Hecken, A. E. (2009). Higher education or vocational training? An empirical test of the rational action model of educational choices suggested by Breen and Goldthorpe and Esser. Acta Sociologica, 52(1), 25–45. https://doi.org/10.1177/0001699308100632
   Web of Science ®Google Scholar
• Brekke, I. (2015). Health and educational success in adolescents: A longitudinal study. BMC Public Health, 15(1), 619. https://doi.org/10.1186/s12889-015-1966-0
   PubMed Web of Science ®Google Scholar
• Chu, X., Li, Z., Yan, B., Han, J., & Fan, F. (2015). Comparative study of regular and vocational high school students on family socioeconomic status, social support, self-efficacy and well-being. Open Journal of Social Sciences, 3(8), 61–68. https://doi.org/10.4236/jss.2015.38006
   Google Scholar
• Demir, M., & Leyendecker, B. (2018). School-related social support is associated with school engagement, self-competence and health-related quality of life (HRQoL) in Turkish immigrant students. Frontiers in Education, 3, 83. Retrieved October 27, 2021, from: https://www.frontiersin.org/article/10.3389/feduc.2018.00083
   Google Scholar
• Dustmann, C. (2004). Parental background, secondary school track choice, and wages. Oxford Economic Papers, 56(2), 209–230. https://doi.org/10.1093/oep/gpf048
   Web of Science ®Google Scholar
• East, L., Jackson, D., & O’Brien, L. (2006). Father absence and adolescent development: A review of the literature. Journal of Child Health Care, 10(4), 283–295. https://doi.org/10.1177/1367493506067869
   PubMedGoogle Scholar
• Eccles, J. S., & Roeser, R. W. (2011). School and community influences on human development. In M. H. Bornstein & M. E. Lamb (Eds.), Developmental science: An advanced textbook (pp. 571–643). Psychology Press.
   Google Scholar
• Fang, J., Huang, X., Zhang, M., Huang, F., Li, Z., & Yuan, Q. (2018). The big-fish-little-pond effect on academic self-concept: A meta-analysis. Frontiers in Psychology, 9, 1569. Retrieved September 27, 2021, from: https://www.frontiersin.org/article/10.3389/fpsyg.2018.01569
   PubMed Web of Science ®Google Scholar
• Gallo, L. C., & Matthews, K. A. (2003). Understanding the association between socioeconomic status and physical health: Do negative emotions play a role? Psychological Bulletin, 129(1), 10–51. https://doi.org/10.1037/0033-2909.129.1.10
   PubMed Web of Science ®Google Scholar
• Garcia-Reid, P., Peterson, C. H., & Reid, R. J. (2015). Parent and teacher support among Latino immigrant youth: Effects on school engagement and school trouble avoidance. Education and Urban Society, 47(3), 328–343. https://doi.org/10.1177/0013124513495278
   Web of Science ®Google Scholar
• Heiskala, L., & Erola, J. (2019). Tracking and sorting in the Finnish educational system. (DIAL Working Paper Series Issue 12). NORFACE. https://dynamicsofinequality.org/wp-content/uploads/2019/07/LIFETRACK-country-report_FIN-1.pdf
   Google Scholar
• Karvonen, S., Tokola, K., & Rimpelä, A. (2018). Well-being and academic achievement: Differences between schools from 2002 to 2010 in the Helsinki metropolitan area. Journal of School Health, 88(11), 821–829. https://doi.org/10.1111/josh.12691
   PubMed Web of Science ®Google Scholar
• Koivuhovi, S. (2021). Studying in a class with a special emphasis: Changes in children’s competence beliefs and mathematical thinking skills and the role of social comparisons [ Doctoral dissertation, University of Helsinki]. HELDA - Digital Repository of the University of Helsinki. http://hdl.handle.net/10138/330292
   Google Scholar
• Koivuhovi, S. E. K., Vainikainen, M.-P., Kalalahti, M. M. M., & Niemivirta, M. J. (2019). Changes in children’s agency beliefs and control expectancy in classes with and without a special emphasis in Finland from grade four to grade six. Scandinavian Journal of Educational Research, 63(3), 427–442. https://doi.org/10.1080/00313831.2017.1402364
   Web of Science ®Google Scholar
• Komarraju, M., & Nadler, D. (2013). Self-efficacy and academic achievement: Why do implicit beliefs, goals, and effort regulation matter? Learning and Individual Differences, 25, 67–72. https://doi.org/10.1016/j.lindif.2013.01.005
   Web of Science ®Google Scholar
• Kroenke, C. (2008). Socioeconomic status and health: Youth development and neomaterialist and psychosocial mechanisms. Social Science & Medicine, 66(1), 31–42. https://doi.org:/dx.doi.org/10.1016/j.socscimed.2007.07.018
   PubMed Web of Science ®Google Scholar
• Kruse, H. (2018). Between-school ability tracking and ethnic segregation in secondary schooling. Social Forces, 98(1), 119–146. https://doi.org/10.1093/sf/soy099
   Web of Science ®Google Scholar
• Lanza, S. T., Collins, L. M., Lemmon, D. R., & Schafer, J. L. (2007). PROC LCA: A SAS procedure for latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 671–694. https://doi.org/10.1080/10705510701575602
   PubMed Web of Science ®Google Scholar
• Lanza, S. T., Dziak, J. J., Huang, L., Wagner, A. T., & Collins, L. M. (2015). LCA stata plugin users’ guide (version 1.2). University Park: The Methodology Center, Penn State. Retrieved August 21, 2020, from. methodology.psu.edu.
   Google Scholar
• Matthews, K. A., & Gallo, L. C. (2011). Psychological perspectives on pathways linking socioeconomic status and physical health. Annual Review of Psychology, 62(1), 501–530. https://doi.org/10.1146/annurev.psych.031809.130711
   PubMed Web of Science ®Google Scholar
• Matthews, K. A., Gallo, L. C., & Taylor, S. E. (2010). Are psychosocial factors mediators of socioeconomic status and health connections? A progress report and blueprint for the future. Annals of the New York Academy of Sciences, 1186(1), 146–173. https://doi.org/10.1111/j.1749-6632.2009.05332.x
   PubMed Web of Science ®Google Scholar
• Merritt, D. L., & Buboltz, W. (2015). Academic success in college: Socioeconomic status and parental influence as predictors of outcome. Open Journal of Social Sciences, 3(5), 127–135. https://doi.org/10.4236/jss.2015.35018
   Google Scholar
• The Methodology Center, Penn State. (2015). LCA stata plugin (version 1.2) [Computer software]. University Park: The Methodology Center, Penn State. https://scholarsphere.psu.edu/resources/feaaba7c-8d56-412c-b6a0-bfa4564506f0
   Google Scholar
• Nylund-Gibson, K., & Choi, A. Y. (2018). Ten frequently asked questions about latent class analysis. Translational Issues in Psychological Science, 4(4), 440–461. https://doi.org/10.1037/tps0000176
   Google Scholar
• OECD. (2013). PISA 2012 results: What makes schools successful (volume iv): Resources, policies and practices. https://doi.org/10.1787/9789264201156-en
   Google Scholar
• OECD. (2018). Equity in education: Breaking down barriers to social mobility. https://doi.org/10.1787/9789264073234-en
   Google Scholar
• Ozer, M., & Perc, M. (2020). Dreams and realities of school tracking and vocational education. Palgrave Communications, 6(1), 34. https://doi.org/10.1057/s41599-020-0409-4
   Web of Science ®Google Scholar
• Pekkarinen, T. (2008). Gender differences in educational attainment: Evidence on the role of tracking from a Finnish quasi-experiment. The Scandinavian Journal of Economics, 110(4), 807–825. Retrieved June 17, 2021, from: http://www.jstor.org/stable/25195375
   Web of Science ®Google Scholar
• Rumberger, R. W., & Palardy, G. J. (2005). Does segregation still matter? The impact of student composition on academic achievement in high school. Teachers College Record, 107(9), 1999–2045. https://doi.org/10.1177/016146810810700905
   Web of Science ®Google Scholar
• Ryan, A. M., & Patrick, H. (2001). The classroom social environment and changes in adolescents’ motivation and engagement during middle school. American Educational Research Journal, 38(2), 437–460. https://doi.org/10.3102/00028312038002437
   Web of Science ®Google Scholar
• Sanders, R. A. (2013). Adolescent psychosocial, social, and cognitive development. Pediatrics in Review, 34(8), 354–359. https://doi.org/10.1542/pir.34.8.354
   PubMedGoogle Scholar
• Schunk, D. H., & Meece, J. L. (2006). Self-Efficacy development in adolescence. In F. Pajares & T. Urdan (Eds.), Self-Efficacy beliefs of adolescents (pp. 71–96). Information Age Publishing.
   Google Scholar
• StataCorp. (2017). Stata structural equation modeling reference manual release 15. Stata Press.
   Google Scholar
• Uchida, A., Michael, R. B., & Mori, K. (2018). An induced successful performance enhances student self-efficacy and boosts academic achievement. AERA Open, 4(4), 2332858418806198. https://doi.org/10.1177/2332858418806198
   Web of Science ®Google Scholar
• Ursachi, G., Horodnic, I. A., & Zait, A. (2015). How reliable are measurement scales? External factors with indirect influence on reliability estimators. Procedia Economics and Finance, 20, 679–686. https://doi.org/10.1016/S2212-5671(15)00123-9
   Google Scholar
• Vargas-Madriz, L., & Konishi, C. (2021). The relationship between social support and student academic involvement: The mediating role of school belonging. Canadian Journal of School Psychology, 36(4), 290–303. https://doi.org/10.1177/08295735211034713
   PubMed Web of Science ®Google Scholar
• Viner, R. M., Ozer, E. M., Denny, S., Marmot, M., Resnick, M., Fatusi, A., & Currie, C. (2012). Adolescence and the social determinants of health. The Lancet, 379(9826), 1641–1652. https://doi.org/10.1016/S0140-6736(12)60149-4
   PubMed Web of Science ®Google Scholar
• Williams, R. (2012). Using the margins command to estimate and interpret adjusted predictions and marginal effects. Stata Journal, 12(2), 308–331. Retrieved September 1, 2020, from: http://www.stata-journal.com/article.html?article=st0260.http://www.stata-journal.com/sjpdf.html?article=st0260
   Web of Science ®Google Scholar
• Zhang, Y. (2020). Quality matters more than quantity: Parent–Child communication and adolescents’ academic performance. Frontiers in Psychology, 11, 1203. Retrieved October 27, 2021, from: https://www.frontiersin.org/article/10.3389/fpsyg.2020.01203
   PubMed Web of Science ®Google Scholar