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21-01-2021 | Empirical Research

Life Course Transitions and Educational Trajectories: Examining Adolescents who Fall off Track Academically

Auteurs: Aprile D. Benner, Shanting Chen, Rashmita S. Mistry, Yishan Shen

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 6/2021

Abstract

Educational interventions typically center on youth displaying early academic risk, potentially overlooking those falling off track academically later in their educational careers. The current study investigated the extent to which life course transitions experienced during adolescence were linked to falling off-track academically in high school. Data from the National Longitudinal Study of Adolescent to Adult Health (N = 4284; 53% female; M_age = 14.88) documented that 1516 students displayed no educational risk in early high school, yet 14% did not pursue 4-year college by age 24. Analyses revealed the unique life course transitions predictive of falling off-track academically (i.e., sexual intercourse, alcohol use, family transitions, residential mobility). The study’s findings highlight important intervention avenues to promote adolescents’ continued educational persistence.

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Alfonso, M., Bailey, T. R., & Scott, M. (2005). The educational outcomes of occupational sub-baccalaureate students: Evidence from the 1990s. Economics of Education Review, 24(2), 197–212. https://doi.org/10.1016/j.econedurev.2004.02.003.CrossRef

Archambault, I., Janosz, M., Fallu, J.-S., & Pagani, L. S. (2009). Student engagement and its relationship with early high school dropout. Journal of Adolescence, 32(3), 651–670. https://doi.org/10.1016/j.adolescence.2008.06.007.CrossRefPubMed

Benner, A. D. (2011). The transition to high school: current knowledge, future directions. Educational Psychology Review, 23(3), 299. https://doi.org/10.1007/s10648-011-9152-0.CrossRefPubMedPubMedCentral

Bronfenbrenner, U., & Morris, P.A. (2006). The bioecological model of human development. In R.M. Lerner (Ed.), Handbook of child development: Vol. 1. Theoretical models of human development (6th ed., pp. 793–828). Wiley. https://doi.org/10.1002/9780470147658.chpsy0114.

Bryant, A. N. (2001). ERIC review: Community college students recent findings and trends. Community College Review, 29(3), 77–93. https://doi.org/10.1177/009155210102900305.CrossRef

Buchmann, C., & DiPrete, T. A. (2006). The growing female advantage in college completion: The role of family background and academic achievement. American Sociological Review, 71(4), 515–541. https://doi.org/10.1177/000312240607100401.CrossRef

Burchinal, M. R., Roberts, J. E., Hooper, S., & Zeisel, S. A. (2000). Cumulative risk and early cognitive development: a comparison of statistical risk models. Developmental Psychology, 36, 793–807. https://doi.org/10.1037/0012-1649.36.6.793.CrossRefPubMed

Cappella, E., & Weinstein, R. S. (2001). Turning around reading achievement: predictors of high school students’ academic resilience. Journal of Educational Psychology, 93(4), 758–771. https://doi.org/10.1037/0022-0663.93.4.758.CrossRef

Cavanagh, S. E., & Fomby, P. (2011). Family instability, school context, and the academic careers of adolescents. Sociology of Education, 85, 81–97. https://doi.org/10.1177/0038040711427312.CrossRef

Cavanagh, S. E., & Fomby, P. (2019). Family instability in the lives of American children. Annual Review of Sociology, 45(1), 493–513. https://doi.org/10.1146/annurev-soc-073018-022633.CrossRefPubMedPubMedCentral

Chan, R. Y. (2016). Understanding the purpose of higher education: an analysis of the economic and social benefits for completing a college degree. Journal of Education Policy, Planning and Administration, 6, 1–40.

Chetty, R., Hendren, N., & Katz, L. F. (2016). The effects of exposure to better neighborhoods on children: new evidence from the moving to opportunity experiment. American Economic Review, 106(4), 855–902. https://doi.org/10.1257/aer.20150572.CrossRef

Collins, W. A., Welsh, D. P., & Furman, W. (2008). Adolescent romantic relationships. Annual Review of Psychology, 60, 631–652. https://doi.org/10.1146/annurev.psych.60.110707.163459.CrossRef

Deardorff, J., Gonzales, N. A., Christopher, F. S., Roosa, M. W., & Millsap, R. E. (2005). Early puberty and adolescent pregnancy: the influence of alcohol use. Pediatrics, 116(6), 1451. https://doi.org/10.1542/peds.2005-0542.CrossRefPubMed

Dogan, S. J., Stockdale, G. D., Widaman, K. F., & Conger, R. D. (2010). Developmental relations and patterns of change between alcohol use and number of sexual partners from adolescence through adulthood. Developmental Psychology, 46(6), 1747–1759. https://doi.org/10.1037/a0019655.CrossRefPubMedPubMedCentral

Domina, T., Conley, A., & Farkas, G. (2011). The Link between educational expectations and effort in the college-for-all era. Sociology of Education, 84, 93–112. https://doi.org/10.1177/1941406411401808.CrossRef

Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K., Huston, A. C., Klebanov, P., Pagani, L. S., Feinstein, L., Engel, M., Brooks-Gunn, J., Sexton, H., Duckworth, K., & Japel, C. (2007). School readiness and later achievement. Developmental Psychology, 43, 1428–1446. https://doi.org/10.1037/0012-1649.43.6.1428.CrossRefPubMed

Eccles, J. S., Vida, M. N., & Barber, B. (2004). The relation of early adolescents’ college plans and both academic ability and task-value beliefs to subsequent college enrollment. The Journal of Early Adolescence, 24(1), 63–77. https://doi.org/10.1177/0272431603260919.CrossRef

Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153.CrossRefPubMed

Elder, G.H., Johnson, M.K., & Crosnoe, R. (2003). The emergence and development of life course theory. In J.T. Mortimer & M.J. Shanahan (Eds.), Handbook of the Life Course (pp. 3–19). USA: Springer. https://doi.org/10.1007/978-0-306-48247-2_1.

Enders, C. (2010). Applied missing data analysis. New York, NY: Guilford.

Entwisle, D. R., Alexander, K. L., & Olson, L. S. (2005). First grade and educational attainment by age 22: a new story. American Journal of Sociology, 110, 1458–1502. https://doi.org/10.1086/428444.CrossRef

Farkas. (2003). Racial disparities and discrimination in education: what do we know, how do we know it, and what do we need to know? Teachers College Record, 105, 1119–1146.CrossRef

Feinstein, L., & Peck, S. C. (2008). Unexpected pathways through education: Why do some students not succeed in school and what helps others beat the odds? Journal of Social Issues, 64, 1–20. https://doi.org/10.1111/j.1540-4560.2008.00545.x.CrossRef

Franklin, B. J., & Trouard, S. B. (2016). Comparing dropout predictors for two state-level panels using Grade 6 and Grade 8 data. The Journal of Educational Research, 109(6), 631–639. https://doi.org/10.1080/00220671.2015.1016601.CrossRef

Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: potential of the concept, state of the evidence. Review of Educational Research, 74, 59–109. https://doi.org/10.3102/00346543074001059.CrossRef

Friedman, T.L. (2005). The world is flat: A brief history of the twenty-first century. New York, NY: Farrar, Straus and Giroux.

Froidevaux, A., Koopmann, J., Wang, M., & Bamberger, P. (2020). Is student loan debt good or bad for full-time employment upon graduation from college? Journal of Applied Psychology, 105(11), 1246–1261. https://doi.org/10.1037/apl0000487.CrossRef

Giordano, P. C., Phelps, K. D., Manning, W. D., & Longmore, M. A. (2008). Adolescent academic achievement and romantic relationships. Social Science Research, 37, 37–54. https://doi.org/10.1016/j.ssresearch.2007.06.004.CrossRef

Harackiewicz, J. M., Barron, K. E., Tauer, J. M., & Elliot, A. J. (2002). Predicting success in college: a longitudinal study of achievement goals and ability measures as predictors of interest and performance from freshman year through graduation. Journal of Educational Psychology, 94(3), 562–575. https://doi.org/10.1037/0022-0663.94.3.562.CrossRef

Harris, K.M., Halpern, C.T., Whitsel, E., Hussey, J., Tabor, J., Entzel, P., & Udry, J.R. (2009). The national longitudinal study of adolescent to adult health: research design. http://www.Cpc.Unc.Edu/Projects/Addhealth/Design.

Haskins, R. (2009). Promoting economic mobility by increasing postsecondary education. Economic Mobility Project. https://doi.org/10.1177/003804070808100304.

Hayward, M. D., Hummer, R. A., & Sasson, I. (2015). Trends and group differences in the association between educational attainment and U.S. adult mortality: implications for understanding education’s causal influence. Special Issue: Educational Attainment and Adult Health: Contextualizing Causality, 127, 8–18. https://doi.org/10.1016/j.socscimed.2014.11.024.CrossRef

Henry, K. L., Knight, K. E., & Thornberry, T. P. (2012). School disengagement as a predictor of dropout, delinquency, and problem substance use during adolescence and early adulthood. Journal of Youth and Adolescence, 41, 156–166. https://doi.org/10.1007/s10964-011-9665-3.CrossRefPubMed

Huang, D. Y. C., Lanza, H. I., Murphy, D. A., & Hser, Y.-I. (2012). Parallel development of risk behaviors in adolescence: potential pathways to co-occurrence. International Journal of Behavioral Development, 36, 247–257. https://doi.org/10.1177/0165025412442870.CrossRefPubMedPubMedCentral

Isen, A., & Stevenson, B. (2010). Women’s education and family behavior: trends in marriage, divorce and fertility. National Bureau of Economic Research. https://doi.org/10.3386/w15725.

Janosz, M., Archambault, I., Morizot, J., & Pagani, L. S. (2008). School engagement trajectories and their differential predictive relations to dropout. Journal of Social Issues, 64, 21–40. https://doi.org/10.1111/j.1540-4560.2008.00546.x.CrossRef

Langenkamp, A. G. (2009). Following different pathways: social integration, achievement, and the transition to high school. American Journal of Education, 116, 69–97. https://doi.org/10.1086/605101.CrossRefPubMed

Lawson, M. A., & Masyn, K. E. (2015). Analyzing profiles, predictors, and consequences of student engagement dispositions. Journal of School Psychology, 53(1), 63–86. https://doi.org/10.1016/j.jsp.2014.11.004.CrossRefPubMed

Lee, D., & McLanahan, S. (2015). Family structure transitions and child development: Instability, selection, and population heterogeneity. American Sociological Review, 80(4), 738–763. https://doi.org/10.1177/0003122415592129.CrossRefPubMedPubMedCentral

Leonhardt, D. (2009). Job losses show breadth of recession. New York Times. http://www.nytimes.com/2009/03/04/business/04leonhardt.html.

Lobo, B. J., & Burke-Smalley, L. A. (2018). An empirical investigation of the financial value of a college degree. Education Economics, 26(1), 78–92. https://doi.org/10.1080/09645292.2017.1332167.CrossRef

Lochner, L. (2020). Education and crime. In S. Bradley & C. Green (Eds.), The Economics of Education (2nd ed.) (pp. 109–117). London: Academic Press. https://doi.org/10.1016/B978-0-12-815391-8.00009-4.

McFarland, J., Hussar, B., Zhang, J., Wang, X., Wang, K., Hein, S., Diliberti, M., Cataldi, E.F., Mann, F.B., Barmer, A., Nachazel, T., Barnett, M., & Purcell, S. (2019). The condition of education 2019 (NCES 2019-144). Washington, DC: National Center for Education Statistics. https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2019144.

McLoyd, V.C., Kaplan, R., Purtell, K.M., Bagley, E., Hardaway, C.R., & Smalls, C. (2009). Poverty and socioeconomic disadvantage in adolescence. In Lerner R. & Steinberg L. (Eds.), Handbook of Adolescent Psychology (3rd ed., Vol. 2, pp. 444–491). Hoboken, NJ: John Wiley.

McMahon, W.W., & Walter, W. (2009). Higher learning, greater good: the private and social benefits of higher education. Baltimore: Johns Hopkins University Press.

Meader, N., King, K., Moe-Byrne, T., Wright, K., Graham, H., Petticrew, M., Power, C., White, M., & Sowden, A. J. (2016). A systematic review on the clustering and co-occurrence of multiple risk behaviours. BMC Public Health, 16(1), 657 https://doi.org/10.1186/s12889-016-3373-6.CrossRefPubMedPubMedCentral

Metzger, M. W., Fowler, P. J., Anderson, C. L., & Lindsay, C. A. (2015). Residential mobility during adolescence: Do even “upward” moves predict dropout risk? Social Science Research, 53, 218–230. https://doi.org/10.1016/j.ssresearch.2015.05.004.CrossRefPubMedPubMedCentral

National Academies of Sciences, Engineering, and Medicine (Ed.) (2019). The promise of adolescence: Realizing opportunity for all youth. Washington, DC: The National Academies Press.

Neemann, J., Hubbard, J., & Masten, A.S. (1995). The changing importance of romantic relationship involvement to competence from late childhood to late adolescence. Development and Psychopathology, 7, 727–750. https://doi.org/10.1017/S0954579400006817.

Reynolds, A.J., Chen, C.-C., & Herbers, J.E. (2009). School mobility and educational success: a research synthesis and evidence on prevention. Workshop on the Impact of Mobility and Change on the Lives of Young Children, Schools, and Neighborhoods, June, 29–30.

Reynolds, J., Stewart, M., Macdonald, R., & Sischo, L. (2014). Have adolescents become too ambitious? High school seniors’ Educational and occupational plans, 1976 to 2000. Social Problems, 53, 186–206. https://doi.org/10.1525/sp.2006.53.2.186.CrossRef

Rose, M. (2005). The mind at work: valuing the intelligence of the American worker. New York, NY: Penguin.

Rumberger, R.W., & Rotermund, S. (2012). The relationship between engagement and high school dropout. In S.L. Christenson, A.L. Reschly, & C. Wylie (Eds.), Handbook of Research on Student Engagement (pp. 491–513). USA: Springer. https://doi.org/10.1007/978-1-4614-2018-7_24.

Sameroff, A. J., Seifer, R., Baldwin, A., & Baldwin, C. (1993). Stability of intelligence from preschool to adolescence: The influence of social and family risk factors. Child Development, 64, 80–97. https://doi.org/10.1111/j.1467-8624.1993.tb02896.x.CrossRefPubMed

Sameroff, A. J., Seifer, R., Zax, M., & Barocas, R. (1987). Early indicators of developmental risk: Rochester longitudinal study. Schizophrenia Bulletin, 13, 383–394. https://doi.org/10.1093/schbul/13.3.383.CrossRefPubMed

Schulenberg, J., Maslowsky, J., Maggs, J.L., & Zucker, R.A. (2018). Development matters: Taking the long view on substance use during adolescence and the transition to adulthood. In P.M. Monti, S.M. Colby, & T.O. Tevyaw (Eds.), Brief interventions for adolescent alcohol and substance abuse (pp. 13–49). New York, NY: The Guilford Press.

Shapiro, D., Dundar, A., Huie, F., Wakhungu, P., Yuan, X., Nathan, A., & Hwang, Y. (2017). A national view of student attainment rates by race and ethnicity—Fall 2010 cohort (Signature Report No. 12b). Herndon, VA: National Student Clearinghouse Research Center.

Sharma, S., Mustanski, B., Dick, D., Bolland, J., & Kertes, D. A. (2019). Protective factors buffer life stress and behavioral health outcomes among high-risk youth. Journal of Abnormal Child Psychology, 47(8), 1289–1301. https://doi.org/10.1007/s10802-019-00515-8.CrossRefPubMedPubMedCentral

Sommerfeld, A. K. (2016). Education as a collective accomplishment: How personal, peer, and parent expectations interact to promote degree attainment. Social Psychology of Education, 19(2), 345–365. https://doi.org/10.1007/s11218-015-9325-7.CrossRef

Staff, J., Messersmith, E.E., & Schulenberg, J.E. (2009). Adolescents and the world of work. In Handbook of adolescent psychology: Contextual influences on adolescent development, Vol. 2, 3rd ed. (pp. 270–313). Hoboken, NJ: John Wiley & Sons, Inc. https://doi.org/10.1002/9780470479193.adlpsy002009.

Stearns, E., Moller, S., Blau, J., & Potochnick, S. (2007). Staying back and dropping out: The relationship between grade retention and school dropout. Sociology of Education, 80, 210–240. https://doi.org/10.1177/003804070708000302.CrossRef

Stone, A. L., Becker, L. G., Huber, A. M., & Catalano, R. F. (2012). Review of risk and protective factors of substance use and problem use in emerging adulthood. Addictive Behaviors, 37(7), 747–775. https://doi.org/10.1016/j.addbeh.2012.02.014.CrossRefPubMed

Wood, D., Kurtz-Costes, B., & Copping, K. E. (2011). Gender differences in motivational pathways to college for middle class African American youths. Developmental Psychology, 47, 961–968. https://doi.org/10.1037/a0023745.CrossRefPubMed

Zhang, J., Savla, J., & Cheng, H.-L. (2019). Cumulative risk and immigrant youth’s health and educational achievement: Mediating effects of inter- and intra-familial social capital. Youth & Society, 51(6), 793–813. https://doi.org/10.1177/0044118X17717501.CrossRef

Zimmer-Gembeck, M. J., & Mortimer, J. T. (2006). Adolescent work, vocational development, and education. Review of Educational Research, 76(4), 537–566. https://doi.org/10.3102/00346543076004537.CrossRefPubMedPubMedCentral

Titel: Life Course Transitions and Educational Trajectories: Examining Adolescents who Fall off Track Academically
Auteurs: Aprile D. Benner
Shanting Chen
Rashmita S. Mistry
Yishan Shen
Publicatiedatum: 21-01-2021
Uitgeverij: Springer US
Gepubliceerd in: Journal of Youth and Adolescence / Uitgave 6/2021
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI: https://doi.org/10.1007/s10964-020-01376-x

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