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The Effects of Parental Nonstandard Work Schedules on Adolescents’ Academic Achievement in Dual-Earner Households in South Korea

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Abstract

A growing body of research has explored the degree to which nonstandard work schedules affect workers and their families. However, relatively few studies to date have examined the relationship between parental nonstandard work schedules and adolescents’ academic achievement, and even less attention has been paid to Asian populations. This study aimed to examine the effects of parental nonstandard work schedules on adolescents’ academic achievement in South Korea. We analyzed 1100 dual-earner households with middle-school students from the 2011 and 2012 Korean Child and Youth Panel Survey (KCYPS). Results from a cross-sectional ordinary least squares regression and regression with a lagged dependent variable showed that fathers’ nonstandard work schedules were significantly associated with poorer academic achievement in math, while mothers’ nonstandard work schedules were not. In the fixed effects model, however, the negative relationship between fathers’ nonstandard work schedules and adolescents’ academic achievement became only marginally significant. These results provide suggestive evidence that the negative effect of parental nonstandard work schedules on South Korean adolescents’ academic achievement may be due, at least in part, to selection bias. Unobserved differences between standard and nonstandard shift fathers and their adolescents might have biased the estimates from the cross-sectional regression and regression with lagged dependent variable. This implies that future studies on the impact of nonstandard work schedules need to employ robust methods to minimize selection bias.

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References

  • Alexander, K. L., Entwisle, D. R., & Horsey, C. S. (1997). From first grade forward: early foundations of high school dropout. Sociology of Education, 70(2), 87–107.

    Article  Google Scholar 

  • Allison, P. (2002). Missing data. Thousand Oaks: Sage.

    Google Scholar 

  • Allison, P. (2005). Fixed effects regression methods for longitudinal data using SAS. Cary: SAS Institute Inc.

    Google Scholar 

  • Bara, A. C., & Arber, S. (2009). Working shifts and mental health–findings from the British Household Panel Survey (1995–2005). Scandinavian Journal of Work, Environment & Health, 35, 361–367.

    Article  Google Scholar 

  • Berger, E. M., & Spieß, C. K. (2011). Maternal life satisfaction and child outcomes: Are they related? Journal of Economic Psychology, 32(1), 142–158.

    Article  Google Scholar 

  • Blundell, R., Dearden, L., & Sianesi, B. (2005). Evaluating the effect of education on earnings: models, methods and results from the National Child Development Survey. Journal of the Royal Statistical Society: Series A (Statistics in Society), 168(3), 473–512.

    Article  Google Scholar 

  • Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53(1), 371–399.

    Article  Google Scholar 

  • Brooks-Gunn, J., & Duncan, G. J. (1997). The effects of poverty on children. The Future of Children, 7, 55–71.

    Article  Google Scholar 

  • Bureau of Labor Statistics. (2013). Employment characteristics of families in 2012. Washington DC: United States Department of Labor. http://www.bls.gov/news.release/pdf/famee.pdf . Accessed September 15 2014.

  • Burt, K. B., & Roisman, G. I. (2010). Competence and psychopathology: cascade effects in the NICHD study of early child care and youth development. Development and Psychopathology, 22(3), 557–567.

    Article  Google Scholar 

  • Byun, S. Y., Schofer, E., & Kim, K. K. (2012). Revisiting the role of cultural capital in East Asian educational systems: the case of South Korea. Sociology of Education, 85(3), 219–239.

    Article  Google Scholar 

  • Carpenter, D. M., Ramirez, A., & Severn, L. (2006). Gap or gaps challenging the singular definition of the achievement gap. Education and Urban Society, 39(1), 113–127.

    Article  Google Scholar 

  • Casillas, A., Robbins, S., Allen, J., Kuo, Y. L., Hanson, M. A., & Schmeiser, C. (2012). Predicting early academic failure in high school from prior academic achievement, psychosocial characteristics, and behavior. Journal of Educational Psychology, 104(2), 407–420.

    Article  Google Scholar 

  • Cassady, J. C. (2001). Self-reported GPA and SAT: a methodological note. Practical Assessment, Research & Evaluation, 7(12), 1–6.

    Google Scholar 

  • Chiu, M. M., & Xihua, Z. (2008). Family and motivation effects on mathematics achievement: analyses of students in 41 countries. Learning and Instruction, 18(4), 321–336.

    Article  Google Scholar 

  • Cooper, H., Valentine, J. C., Nye, B., & Lindsay, J. J. (1999). Relationships between five after-school activities and academic achievement. Journal of Educational Psychology, 91(2), 369–378.

    Article  Google Scholar 

  • Davis, K. D., Benjamin Goodman, W., Pirretti, A. E., & Almeida, D. M. (2008). Nonstandard work schedules, perceived family well‐being, and daily stressors. Journal of Marriage and Family, 70(4), 991–1003.

    Article  Google Scholar 

  • Davis, S. N., & Pearce, L. D. (2007). Adolescents’ work-family gender ideologies and educational expectations. Sociological Perspectives, 50(2), 249–271.

    Article  Google Scholar 

  • Dawson, W. (2010). Private tutoring and mass schooling in east Asia: reflections of inequality in Japan, south Korea, and Cambodia. Asia Pacific Education Review, 11(1), 14–24.

    Article  Google Scholar 

  • Dockery, A., Li, J., & Kendall, G. (2009). Parents’ work patterns and adolescent mental health. Social Science & Medicine, 68(4), 689–698.

    Article  Google Scholar 

  • Dunifon, R., Kalil, A., & Bajracharya, A. (2005). Maternal working conditions and child well-being in welfare-leaving families. Developmental Psychology, 41, 851–859.

    Article  Google Scholar 

  • Dunifon, R., Kalil, A., Crosby, D. A., & Su, J. H. (2013a). Mothers’ night work and children’s behavior problems. Developmental Psychology, 49(10), 1874–1885.

    Article  Google Scholar 

  • Dunifon, R., Kalil, A., Crosby, D. A., Su, J. H., & DeLeire, T. (2013b). Measuring maternal nonstandard work in survey data. Journal of Marriage and Family, 75(3), 523–532.

    Article  Google Scholar 

  • Eccles, J., Wigfield, A., Harold, R. D., & Blumenfeld, P. (1993). Age and gender differences in children’s self‐and task perceptions during elementary school. Child Development, 64(3), 830–847.

    Article  Google Scholar 

  • Eccles, J. S., & Barber, B. L. (1999). Student council, volunteering, basketball, or marching band what kind of extracurricular involvement matters? Journal of Adolescent Research, 14(1), 10–43.

    Article  Google Scholar 

  • Enchautegui, M. E. (2013). Nonstandard work schedules and the well-being of low-income families (Low-income working families brief 26). Washington: Urban Institute Press.

    Google Scholar 

  • Gassman-Pines, A. (2011). Low-income mothers’ nighttime and weekend work: daily associations with child behaviour, mother-child interactions, and mood. Family Relations, 60, 15–29.

    Article  Google Scholar 

  • Greenhaus, J. H., & Beutell, N. J. (1985). Sources of conflict between work and family roles. Academy of Management Review, 10(1), 76–88.

    Google Scholar 

  • Grzywacz, J. G., Daniel, S. S., Tucker, J., Walls, J., & Leerkes, E. (2011). Nonstandard work schedules and developmentally generative parenting practices: an application of propensity score techniques. Family Relations, 60, 45–59.

    Article  Google Scholar 

  • Ha, M., & Park, J. (2005). Shiftwork and metabolic risk factors of cardiovascular disease. Journal of Occupational Health, 47(2), 89–95.

    Article  Google Scholar 

  • Han, W. J. (2008). Shift work and child behavioral outcomes. Work, Employment & Society, 22(1), 67–87.

    Article  Google Scholar 

  • Han, W. J., & Fox, L. E. (2011). Parental work schedules and children’s cognitive trajectories. Journal of Marriage and Family, 73(5), 962–980.

    Article  Google Scholar 

  • Han, W. J., Miller, D. P., & Waldfogel, J. (2010). Parental work schedules and adolescent risky behaviors. Developmental Psychology, 46(5), 1245–1267.

    Article  Google Scholar 

  • Hendrix, J. A., & Parcel, T. L. (2013). Parental nonstandard work, family processes, and delinquency during adolescence. Journal of Family Issues. doi:10.1177/0192513X13510299.

    Google Scholar 

  • Henly, J., & Lambert, S. (2005). Nonstandard work and child care needs of low-income parents. In S. M. Bianchi, L. M. Casper, K. E. Christensen, & R. B. King (Eds.), Workforce/workplace mismatch? Work, family, health, and well-being. Mahwah: Erlbaum.

    Google Scholar 

  • Heymann, S. J. (2000). The widening gap: Why America’s working families are in jeopardy and what can be done about it. New York: Basic Books.

    Google Scholar 

  • Hsueh, J., & Yoshikawa, H. (2007). Working nonstandard schedules and variable shifts in low-income families: associations with parental psychological well-being, family functioning, and child well-being. Developmental Psychology, 43(3), 620–632.

    Article  Google Scholar 

  • Johnson, R. C., & Allen, T. D. (2013). Examining the links between employed mothers’ work characteristics, physical activity, and child health. Journal of Applied Psychology, 98(1), 148–157.

    Article  Google Scholar 

  • Joppke, C., & Morawska, E. (2003). Toward assimilation and citizenship: Immigrants in liberal nation-states. New York: Palgrave Macmillan.

    Google Scholar 

  • Joshi, P., & Bogen, K. (2007). Nonstandard schedules and young children’s behavioral outcomes among working low-income families. Journal of Marriage and Family, 69(1), 139–156.

    Article  Google Scholar 

  • Ju, D. B., & Chung, I. H. (2000). The effect of maternal employment on schoolchildren’s educational aspirations in Korea. Journal of Research in Childhood Education, 15(1), 18–29.

    Article  Google Scholar 

  • Li, J., Johnson, S. E., Han, W. J., Andrews, S., Kendall, G., Strazdins, L., & Dockery, A. (2014). Parents’ nonstandard work schedules and child well-being: a critical review of the literature. The Journal of Primary Prevention, 35(1), 53–73.

    Article  Google Scholar 

  • Lin, Y. C., Hsiao, T. J., & Chen, P. C. (2009). Persistent rotating shift-work exposure accelerates development of metabolic syndrome among middle-aged female employees: a five-year follow-up. Chronobiology International, 26(4), 740–755.

    Article  Google Scholar 

  • Masten, A., Roisman, G. I., Long, J. D., Burt, K. B., Obradovic, J., Riley, J. R., et al. (2005). Developmental cascades: linking academic achievement, externalizing and internalizing symptoms over 20 years. Developmental Psychology, 41, 733–746.

    Article  Google Scholar 

  • Mauss, D., Litaker, D., Jarczok, M. N., Li, J., Bosch, J. A., & Fischer, J. E. (2013). Anti‐clockwise rotating shift work and health: would you prefer 3‐shift or 4‐shift operation? American Journal of Industrial Medicine, 56(5), 599–608. doi:10.1002/ajim.22157.

    Article  Google Scholar 

  • McMenamin, T. M. (2007). A time to work: recent trends in shiftwork and flexible schedules. Monthly Labor Review, 130, 3–15.

    Google Scholar 

  • Morrissey, T. W., Dunifon, R. E., & Kalil, A. (2011). Maternal employment, work schedules, and children’s body mass index. Child Development, 82(1), 66–81.

    Article  Google Scholar 

  • Needham, B. L., Crosnoe, R., & Muller, C. (2004). Academic failure in secondary school: the inter-related role of health problems and educational context. Social Problems, 51(4), 569.

    Article  Google Scholar 

  • Odom, E., Vernon-Feagans, L., & Crouter, A. C. (2013). Nonstandard maternal work schedules: implications for African American children’s early language outcomes. Early Childhood Research Quarterly, 28(2), 379–387.

    Article  Google Scholar 

  • OECD (2011). OECD Factbook 2011–2012 Economic, environmental and social statistics. Paris, France: OECD Publishing; 2011:164–165. http://dx.doi.org/10.1787/factbook-2011-en. Accessed September 29 2014.

  • Park, J., & Lee, N. (2009). First Korean working conditions survey: a comparison between South Korea and EU countries. Industrial Health, 47(1), 50–54.

    Article  Google Scholar 

  • Presser, H. B. (2003). Working in a 24/7 economy: Challenges for American families. New York: Russell Sage Foundation.

    Google Scholar 

  • Presser, H.B., Gornick, J.C., & Parashar, S. (2008). Gender and nonstandard work hours in 12 European countries. Monthly Labor Review, (February), 83–103.

  • Ross Phillips, K. (2002). Parent work and child well-being in low-income families. (Assessing the New Federalism, Occasional Paper No. 56). Washington, DC: The Urban Institute.

  • Saginak, K. A., & Saginak, M. A. (2005). Balancing work and family: equity, gender, and marital satisfaction. The Family Journal, 13(2), 162–166.

    Article  Google Scholar 

  • Seth, M. J. (2002). Education fever: Society, politics, and the pursuit of schooling in South Korea. Honolulu: University of Hawaii Press.

    Google Scholar 

  • StataCorp. (2011). Stata 12 base reference manual. College Station: Stata Press.

    Google Scholar 

  • Strazdins, L., Clements, M. S., Korda, R. J., Broom, D. H., & D’Souza, R. M. (2006). Unsociable work? nonstandard work schedules, family relationships, and children’s well‐being. Journal of Marriage and Family, 68(2), 394–410.

    Article  Google Scholar 

  • Strazdins, L., Korda, R. J., Lim, L. L., Broom, D. H., & D’Souza, R. M. (2004). Around-the-clock: parent work schedules and children’s well-being in a 24-h economy. Social Science & Medicine, 59(7), 1517–1527.

    Article  Google Scholar 

  • ten Brummelhuis, L. L., Haar, J. M., & van der Lippe, T. (2010). Crossover of distress due to work and family demands in dual-earner couples: a dyadic analysis. Work and Stress, 24(4), 324–341.

    Article  Google Scholar 

  • Tsuya, N. O., Bumpass, L. L., & Choe, M. K. (2000). Gender, employment, and housework in Japan, South Korea, and the United States. Review of Population and Social Policy, 9, 195–220.

    Google Scholar 

  • Vincent, C. D., & Neis, B. L. (2011). Work and family life: parental work schedules and child academic achievement. Community, Work & Family, 14(4), 449–468.

    Article  Google Scholar 

  • Wang, X. S., Armstrong, M. E. G., Cairns, B. J., Key, T. J., & Travis, R. C. (2011). Shift work and chronic disease: the epidemiological evidence. Occupational Medicine, 61(2), 78–89.

    Article  Google Scholar 

  • White, I. R., Royston, P., & Wood, A. M. (2011). Multiple imputation using chained equations: issues and guidance for practice. Statistics in Medicine, 30(4), 377–399.

    Article  Google Scholar 

  • Wight, V. R., Raley, S. B., & Bianchi, S. M. (2008). Time for children, one’s spouse and oneself among parents who work nonstandard hours. Social Forces, 87(1), 243–271.

    Article  Google Scholar 

  • Williams, C. (2008). Work-life balance of shift workers. Perspectives. Statistics Canada—Catalogue no. 75-001-X. August, 5–16.

  • Youniss, J., & Smollar, J. (1985). Adolescent relations with mothers, fathers, and friends. Chicago: University of Chicago Press.

    Google Scholar 

  • Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: an overview. Educational Psychologist, 25(1), 3–17.

    Article  Google Scholar 

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Cho, Y., Coulton, C.J. The Effects of Parental Nonstandard Work Schedules on Adolescents’ Academic Achievement in Dual-Earner Households in South Korea. Child Ind Res 9, 193–212 (2016). https://doi.org/10.1007/s12187-015-9308-4

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