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Exploring the Unexpected: the Relationship Between Higher Family Income and Dropout Risk

Resumo

This study investigates the paradoxical influence of family income on school dropout risks among Brazilian public-school students. Discussing previous results that challenges traditional perspectives on school dropout by examining how students from higher family income show higher dropout risk. We hypothesize that this is due to flexible capitalism changes in our societies labor market and to the devaluation of schools as a meaningful place for student’s life projects. Analyzing data from 15,924 Brazilian high school and middle school students using Multivariate Analysis of Variance (MANOVA) and univariate models, the study reveals that students from higher-income families are more likely to drop out when they perceive school as less relevant for their future careers. This unexpected finding suggests that, unlike most literature on this field, higher income students might be at greater risk of dropout due to the pressure to enter the workforce and the perceived lack of school's alignment with their career aspirations. This study contributes to the understanding of school dropout in the global south, proposing the need for educational reforms that align with contemporary labor market realities.

Palavras-chave

school dropout, family income, brazilian students, flexible capitalism, labor market

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Referências

  1. Aikens, N. L., & Barbarin, O. A. (2008). Socioeconomic differences in reading trajectories: The contribution of family, neighborhood, and school contexts. Journal of Educational Psychology, 100(2), 235–251. https://doi.org/10.1037/0022-0663.100.2.235. DOI: https://doi.org/10.1037/0022-0663.100.2.235
  2. Autor, D. H. (2019). Work of the past, work of the future. AEA Papers and Proceedings, 109, 1-32. DOI:10.1257/pandp.20191110. DOI: https://doi.org/10.1257/pandp.20191110
  3. Barbosa-Martinez, R. C., Ramirez-Aranda, J. M., Salazar-González, B. C., Benavides-Torres, R. A., Champion, J. D., & Gallegos-Guajardo, J. (2016). Life project for adolescents: A concept analysis. Int’l J. Soc. Sci. Stud., 4, 31. https://doi.org/10.11114/ijsss.v4i5.1490. DOI: https://doi.org/10.11114/ijsss.v4i5.1490
  4. Biddle, B. J. (2011). The unacknowledged disaster: Youth poverty and educational failure in America. Brill Sense.
  5. Bourdieu, P., & Passeron, J. C. (1990). Reproduction in education, society, and culture. Sage Publications.
  6. Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53, 371–399. DOI: 10.1146/annurev.psych.53.100901.135233. DOI: https://doi.org/10.1146/annurev.psych.53.100901.135233
  7. Conger, R. D., Conger, K. J., & Martin, M. J. (2010). Socioeconomic status, family processes, and individual development. Journal of Marriage and Family, 72(3), 685-704. Doi: 10.1111/j.1741-3737.2010.00725. x. DOI: https://doi.org/10.1111/j.1741-3737.2010.00725.x
  8. Dantas, A. S. R., & Valente, G. A. (2016). A educação nas trajetórias das desigualdades. Cadernos de Pesquisa, 46(162), 1272-1277. https://doi.org/10.1590/198053143866. DOI: https://doi.org/10.1590/198053143866
  9. Doogan, K. (2019). New capitalism, crime and criminal justice. In R. Morgan, M. Maguire, & R. Reiner (Eds.), The Oxford handbook of criminology (6th ed., pp. 102-124). Oxford University Press.
  10. Dusek, G. A., Yurova, Y. V., & Ruppel, C. P. (2015). Using social media and targeted snowball sampling to survey a hard-to-reach population: A case study. International Journal of Doctoral Studies, 10, 279–299. https://doi.org/10.28945/2296. DOI: https://doi.org/10.28945/2296
  11. Drumond, M. C., Araujo, I. C., Maia, P. L. O., Luquini, I. D. M. A. M., & Fernandes, G. M. (2019). Precarização e flexibilização do trabalho no Brasil. Brazilian Journal of Development, 5(12), 29688-29703. https://doi.org/10.34117/bjdv5n12-115. DOI: https://doi.org/10.34117/bjdv5n12-115
  12. Duncan, G. J., & Magnuson, K. (2012). Socioeconomic status and cognitive functioning: moving from correlation to causation. Wiley interdisciplinary reviews. Cognitive science, 3(3), 377–386. https://doi.org/10.1002/wcs.1176. DOI: https://doi.org/10.1002/wcs.1176
  13. Duncan, G. J., & Murnane, R. J. (Eds.). (2011). Whither opportunity? Rising inequality, schools, and children’s life chances. Russell Sage Foundation.
  14. Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. London: Sage.
  15. Fortin, L., Marcotte, D., Potvin, P., Royer, É., & Joly, J. (2006). Typology of students at risk of dropping out of school: Description by personal, family and school factors. European Journal of Psychology of Education, 21(4), 363-383. DOI: 10.1007/BF03173508. DOI: https://doi.org/10.1007/BF03173508
  16. Freeman, J., & Simonsen, B. (2015). Examining the impact of policy and practice interventions on high school dropout and school completion rates: A systematic review of the literature. Review of Educational Research, 85(2), 205-248. https://doi.org/10.3102/00346543145544. DOI: https://doi.org/10.3102/0034654314554431
  17. Gershoff, E. T., Aber, J. L., Raver, C. C., & Lennon, M. C. (2007). Income is not enough: incorporating material hardship into models of income associations with parenting and child development. Child development, 78(1), 70–95. https://doi.org/10.1111/j.1467-8624.2007.00986.x. DOI: https://doi.org/10.1111/j.1467-8624.2007.00986.x
  18. Goux, D., Gurgand, M., & Maurin, E. (2014a). Adjusting Your Dreams? The Effect of School and Peers on Dropout Behaviour. IZA Discussion Paper No. 7948. http://dx.doi.org/10.2139/ssrn.2399767. DOI: https://doi.org/10.2139/ssrn.2399767
  19. Goux, D., Gurgand, M., & Maurin, E. (2014b). School aspirations and school dropout: involving parents.(Doctoral dissertation, Institut des politiques publiques (IPP); Abdul Latif Jameel Poverty Action Lab-Europe (JPAL-Europe)). Retrieved from: https://shs.hal.science/halshs-02512788/document.
  20. JASP Team (2023). JASP (Version 0.18.3)[Computer software].
  21. Kalleberg, A. L. (2018). Precarious lives: Job insecurity and well-being in rich democracies. Polity Press. Keselman, H. J., Huberty, C. J., Lix, L. M., Olejnik, S., Cribbie, R. A., Donahue, B., ... & Levin, J. R. (1998). Statistical practices of educational researchers: An analysis of their ANOVA, MANOVA, and ANCOVA analyses. Review of educational research, 68(3), 350-386. https://doi.org/10.3102/00346543068003350. DOI: https://doi.org/10.3102/00346543068003350
  22. Kraus, M. W., & Stephens, N. M. (2012). A road map for an emerging psychology of social class. Social and Personality Psychology Compass, 6(9), 642-656. https://doi.org/10.1111/j.1751-9004.2012.00453.x. DOI: https://doi.org/10.1111/j.1751-9004.2012.00453.x
  23. Lamb, S. (2011). School dropout and inequality. In G. J. Duncan & R. J. Murnane (Eds.), Whither opportunity? Rising inequality, schools, and children’s life chances (pp. 425–445). Russell Sage Foundation. DOI: https://doi.org/10.1007/978-90-481-9763-7_21
  24. Lareau, A. (2011). Unequal childhoods: Class, race, and family life. University of California Press. DOI: https://doi.org/10.1525/9780520949904
  25. Mok, K. H., & Yeung, S. S. L. (2019). Challenging flexible capitalism in global cities: Education, housing, and healthcare. Routledge.
  26. R Development Core Team. (2015). R: A language and environment for statistical computing. Retrieved from https://cran.r-project.org/doc/manuals/fullrefman.pdf.
  27. Reardon, S. F. (2011). The widening academic achievement gap between the rich and the poor: New evidence and possible explanations. In G. J. Duncan & R. J. Murnane (Eds.), Whither opportunity? Rising inequality, schools, and children’s life chances (pp. 91–116). Russell Sage Foundation.
  28. Ribeiro, C. A. C. (2006). Classe, raça e mobilidade social no Brasil. Dados, 49(4), 833–873. https://doi.org/10.1590/S0011-52582006000400006. DOI: https://doi.org/10.1590/S0011-52582006000400006
  29. Rumberger, R. W., & Lim, S. A. (2008). Why students drop out of school: A review of 25 years of research. California Dropout Research Project Report #15.
  30. Rumberger, R. W. (2011). Dropping out: Why students drop out of high school and what can be done about it. Harvard University Press. DOI: https://doi.org/10.4159/harvard.9780674063167
  31. Rumberger, R. W., & Rotermund, S. (2012). The relationship between engagement and high school dropout. In Handbook of Research on Student Engagement (pp. 491-514). Springer. DOI: https://doi.org/10.1007/978-1-4614-2018-7_24
  32. Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78. DOI: 10.1037//0003-066x.55.1.68. DOI: https://doi.org/10.1037//0003-066X.55.1.68
  33. Santos, F., & Corseuil, C. H. L. (2019). Os efeitos do Programa Bolsa Família sobre a frequência escolar das mães adolescentes beneficiadas. Texto para Discussão, No. 2477, Instituto de Pesquisa Econômica Aplicada (IPEA), Brasília. Retrieved from: https://repositorio.ipea.gov.br/bitstream/11058/9316/1/TD_2477.PDF.
  34. Schunk, D. H., & Mullen, C. A. (2012). Self-efficacy as an engaged learner. In Handbook of Research on Student Engagement (pp. 219-235). Springer. DOI: https://doi.org/10.1007/978-1-4614-2018-7_10
  35. Sennett, R. (1998). The corrosion of character: The personal consequences of work in the new capitalism. WW Norton & Company.
  36. Silva, M. C., & da Silva Menezes, J. S. (2022). Educação, desigualdade e proteção social. O Social em Questão, 1(52), 131-154. DOI: 10.17771/PUCRio.OSQ.5640.
  37. Skinner, E. A., Kindermann, T. A., & Furrer, C. J. (2018). A motivational perspective on engagement and disaffection: Conceptualization and assessment of children’s behavioral and emotional participation in academic activities in the classroom. Educational and Psychological Measurement, 78(1), 30-53. DOI: 10.1177/0013164408323233. DOI: https://doi.org/10.1177/0013164408323233
  38. Suldo, S. M., Thalji-Raitano, A., Kiefer, S. M., & Ferron, J. M. (2016). Conceptualizing high school students’ mental health through a dual-factor model. School Psychology Review, 45(4), 434–457.
  39. https://doi.org/10.17105/SPR45-4.434-457. DOI: https://doi.org/10.17105/SPR45-4.434-457
  40. Thapa, A., Cohen, J., Guffey, S., & Higgins-D’Alessandro, A. (2013). A review of school climate research. Review of Educational Research, 83(3), 357-385. https://doi.org/10.3102/0034654313483907. DOI: https://doi.org/10.3102/0034654313483907
  41. Upton, G. J. (1992). Fisher’s exact test. Journal of the Royal Statistical Society: Series A (Statistics in Society), 155(3), 395-402. https://doi.org/10.2307/2982890 DOI: https://doi.org/10.2307/2982890
  42. Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary educational psychology, 25(1), 68-81. https://doi.org/10.1006/ceps.1999.1015. DOI: https://doi.org/10.1006/ceps.1999.1015
  43. Yoshikawa, H., Aber, J. L., & Beardslee, W. R. (2012). The effects of poverty on the mental, emotional, and behavioral health of children and youth: implications for prevention. The American psychologist,
  44. (4), 272–284. https://doi.org/10.1037/a0028015. DOI: https://doi.org/10.1037/a0028015
  45. Zahra, F. (2020). High hopes, low dropout: Gender differences in aspirations for education and marriage, and educational outcomes in rural Malawi. Comparative Education Review, 64(4), 670-702. https://doi.org/10.1086/710778. DOI: https://doi.org/10.1086/710778
  46. Zava, F., Barbaresi, M., Cattelino, E., & Vecchio, G. M. (2022). Academic Aspirations and Dropout Intentions in the Perspective of Positive Youth Development: Protective Factors in Adolescence. Sustainability, 14(18), 11591. https://doi.org/10.3390/su141811591. DOI: https://doi.org/10.3390/su141811591

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