Socioeconomic Context and Emotional-Behavioral Achievement Links: Concurrent and Prospective Associations Among Low- and High-Income Youth

Journal of Research on Adolescence

Volumn 22, Issue 1, 2012, Pages 14-30

  Ansary, Nadia S ^a   Mcmahon, Thomas J ^b   Luthar, Suniya S ^a  

^a Columbia University ^*  (United States)

^b YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84857190693     PISSN: 10508392     EISSN: 15327795     Source Type: Journal    
DOI: 10.1111/j.1532-7795.2011.00747.x     Document Type: Article

References (68)

1. Andrews, J. A., & Duncan, S. C. (1997). Examining the reciprocal relation between academic motivation and substance use: Effects of family relationships, self-esteem, and general deviance. Journal of Behavioral Medicine, 20, 523-549.
2. Ansary, N. S., & Luthar, S. S. (2009). Distress and academic achievement among adolescents of affluence: A study of externalizing and internalizing problem behaviors and school performance. Development and Psychopathology, 21, 319-341.
3. Becker, B. E., & Luthar, S. S. (2007). Peer-perceived admiration and social preference: Contextual correlates of positive peer regard among suburban and urban adolescents. Journal of Research on Adolescence, 17, 117-144.
4. Beidel, D. C. (1991). Social phobia and overanxious disorder in school age children. Journal of the American Academy of Child and Adolescent Psychiatry, 30, 545-552.
5. Bronfenbrenner, U., & Morris, P. A. (2006). The bioecological model of human development. In R. M. Lerner & W. Damon (Eds.), Handbook of child psychology: Vol. 1. Theoretical models of human development (6th ed., pp. 793-828). Hoboken, NJ: Wiley.
6. Bryant, A. L., Schulenberg, J., Bachman, J. G., O'Malley, P. M., & Johnston, L. D. (2000). Understanding the links among school misbehavior, academic achievement, and cigarette use: A national panel study of adolescents. Prevention Science, 1, 71-87.
7. Bryant, A. L., Schulenberg, J. E., O'Malley, P. M., Bachman, J. G., & Johnston, L. D. (2003). How academic achievement, attitudes, and behaviors relate to the course of substance use during adolescence: A 6-year, multiwave national longitudinal study. Journal of Research on Adolescence, 13, 361-397.
8. Bryant, A. L., & Zimmerman, M. A. (2002). Examining the effects of academic beliefs and behaviors on changes in substance use among urban adolescents. Journal of Educational Psychology, 94, 621-637.
9. Burton, P., Gurrin, L., & Sly, P. (1998). Extending the simple linear regression model for correlated responses: An introduction to generalized estimating equations and multi-level mixed modeling. Statistics in Medicine, 17, 1261-1291.
10. Craighead, W. E., Curry, J. F., & Hardi, S. S. (1995). Relationship of Children's Depression Inventory factors to major depression among adolescents. Psychological Assessment, 7, 171-176.
11. Eccles, J. S. (1999). The development of children ages 6 to 14. The Future of Children, 9, 30-44.
12. Eccles, J. S. (2004). Schools, academic motivation, and stage-environment-fit. In R. M. Lerner & L. Steinberg (Eds.), Handbook of adolescent psychology (2nd ed., pp. 125-153). Hoboken, NJ: Wiley.
13. Eccles, J. S., Roeser, R., Vida, M., Fredricks, J., & Wigfield, A. (2006). Motivational and achievement pathways through middle childhood. In L. Balter & C. S.Tamis-LeMonda (Eds.), Child Psychology: A handbook of contemporary issues (2nd ed., pp. 325-356). New York, NY: Psychology Press.
14. Eccles, J. S., Wigfield, A., & Schiefele, U. (1998). Motivation to succeed. In W. Damon (Series Ed.) & N. Eisenberg (Vol. Ed.), Handbook of child psychology (5th ed., Vol. 3, pp. 1017-1095). New York, NY: Wiley.
15. Ellickson, P., Bui, K., Bell, R., & McGuigan, K. A. (1998). Does early drug use increase the risk of dropping out of high school?Journal of Drug Issues, 28, 357-380.
16. Elliot, D. S., Dunford, F. W., & Huizinga, D. (1987). The identification and prediction of career offenders utilizing self-reported and official data. In J. Burchard & S. Burchard (Eds.), Prevention of delinquent behavior (pp. 90-121). Newbury Park, CA: Sage.
17. Ennett, S. T., Flewelling, R. L., Lindrooth, R. C., & Norton, E. C. (1997). School and neighborhood characteristics associated with school rates of alcohol, cigarette, and marijuana use. Journal of Health and Social Behavior, 38, 55-71.
18. Falck, R. S., Siegal, H. A., Wang, J., & Carlson, R. G. (1999). Differences in drug use among rural and suburban high school students in Ohio. Substance Use and Misuse, 34, 567-577.
19. Fergusson, D. M., & Horwood, L. J. (1995). Early disruptive behavior, IQ, and later school achievement and delinquent behavior. Journal of Abnormal Child Psychology, 23, 183-199.
20. Fordham, S., & Ogbu, J. U. (1986). Black students' school success: Coping with the "burden of 'acting white'." Urban Review, 18, 176-206.
21. Griffin, K. W., Botvin, G. J., Doyle, M. M., Diaz, T., & Epstein, J. A. (1999). A six-year follow-up study of determinants of heavy cigarette smoking among high-school seniors. Journal of Behavioral Medicine, 22, 271-284.
22. Hannon, L. (2003). Poverty, delinquency, and educational attainment: Cumulative disadvantage or disadvantage saturation? Sociological Inquiry, 73, 575-594.
23. Hardin, J. W., & Hilbe, J. M. (2003). Generalized estimating equations. London, UK: Chapman and Hall/CRC Press.
24. Hauser-Cram, P., Warfield, M. E., Stadler, J., & Sirin, S. R. (2006). School environments and the diverging pathways of students living in poverty. In A. C. Huston & M. N. Ripke (Eds.), Developmental contexts in middle childhood: Bridges to adolescence and adulthood (pp. 198-216). New York, NY: Cambridge University Press.
25. Hinshaw, S. (1992). Externalizing behavior problems and academic underachievement in childhood and adolescence: Causal relationships and underlying mechanisms. Psychological Bulletin, 111, 127-155.
26. Huesmann, L. R., Dubow, E. F., Eron, L. D., & Boxer, P. (2006). Middle childhood family-contextual and personal factors as predictors of adult outcomes. In A. C. Huston & M. N. Ripke (Eds.), Developmental contexts in middle childhood: Bridges to adolescence and adulthood (pp. 62-86). New York, NY: Cambridge University Press.
27. Huizinga, D., & Elliot, D. S. (1986). Reassessing the reliability and validity of self-report delinquency measures. Journal of Quantitative Criminology, 2, 293-327.
28. Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2010). Monitoring the Future national survey results on drug use, 1975-2009. Volume I: Secondary school students (NIH Publication No. 10-7584). Bethesda, MD: National Institute on Drug Abuse.
29. Jolliffe, D., Farrington, D. P., Hawkins, J. D., Catalano, R. F., Hill, K. G., & Kosterman, R. (2003). Predictive, concurrent, prospective and retrospective validity of self-reported delinquency. Criminal Behaviour and Mental Health, 13, 179-197.
30. Kessler, R. C., Foster, C. L., Saunders, W. B., & Stang, P. E. (1995). Social consequences of psychiatric disorders I: Educational attainment. American Journal of Psychiatry, 152, 1026-1032.
31. Kovacs, M. (1992). Children's Depression Inventory manual. New York, NY: Multi-Health Systems.
32. Last, C. G., Hersen, M., Kazdin, A. E., Orvaschel, H., & Perrin, S. (1991). Anxiety disorders in children and their families. Archives of General Psychiatry, 48, 928-934.
33. Lewinsohn, P. M., Roberts, R. E., Seeley, J. R., Rohde, P., Gotlib, I. H., & Hops, H. (1994). Adolescent psychopathology II: Psychosocial risk factors for depression. Journal of Abnormal Psychology, 103, 302-315.
34. Liang, K. Y., & Zeger, S. L. (1993). Regression analysis for correlated data. Annual Review of Public Health, 12, 43-68.
35. Lipsey, M. W., & Derzon, J. H. (1998). Predictors of violent or serious delinquency in adolescence and early adulthood: A synthesis of longitudinal research. In R. Loeber & D. P. Farrington (Eds.), Serious and violent juvenile offenders (pp. 86-105). Thousand Oaks, CA: Sage Publications.
36. Loeber, R., & Farrington, D. P. (2000). Young children who commit crime: Epidemiology, developmental origins, risk factors, early interventions, and implications. Development and Psychopathology, 12, 737-762.
37. Loeber, R., Farrington, D. P., Stouthamer-Loeber, M., Moffitt, T. E., Caspi, A., & Lynam, D. (2001). Male mental health problems, psychopathy, and personality traits: Key findings from the first 14 years of the Pittsburgh Youth Study. Clinical Child and Family Psychology Review, 4, 273-297.
38. Lucas, W. L., & Gilham, S. A. (1995). Profiles of drug use and attitudes among young adolescents. Journal of Child and Adolescent Substance Abuse, 4, 41-60.
39. Ludden, A. B., & Eccles, J. S. (2007). Psychosocial, motivational, and contextual profiles of youth reporting different patterns of substance use during adolescence. Journal of Research on Adolescence, 17, 51-88.
40. Luthar, S. S., & Ansary, N. S. (2005). Dimensions of adolescent rebellion: Risks for academic failure among high- and low-income youth. Development and Psychopathology, 17, 231-250.
41. Luthar, S. S., & D'Avanzo, K. (1999). Contextual differences in substance use: A study of suburban and inner-city adolescents. Development and Psychopathology, 11, 845-867.
42. Luthar, S. S., & Latendresse, S. J. (2002). Adolescent risk: The costs of affluence. In R. M. Lerner, C. S.Taylor, & A.von Eye (Eds.), Pathways to positive development among diverse youth (pp. 101-121). San Francisco, CA: Jossey-Bass.
43. Luthar, S. S., & Sexton, C. (2004). The high price of affluence. In R. V. Kail (Ed.), Advances in child development and behavior (Vol. 32, pp. 125-162). San Diego, CA: Elsevier Academic Press.
44. Macleod, J. (1991). Bridging street and school. Journal of Negro Education, 60, 260-275.
45. Magnuson, K., Duncan, G. J., & Kalil, A. (2006). The contribution of middle childhood contexts to adolescent achievement and behavior. In A. C. Huston & M. N. Ripke (Eds.), Developmental contexts in middle childhood: Bridges to adolescence and adulthood (pp. 150-172). New York, NY: Cambridge University Press.
46. Masten, A. S., Roisman, G. I., Long, J. D., Burt, K. B., Obradovic, J., Riley, J. R., et al. (2005). Developmental cascades: Linking academic achievement and externalizing and internalizing symptoms over 20 years. Developmental Psychology, 41, 733-746.
47. Moffitt, T. E., Caspi, A., Rutter, M., & Silva, P. A. (2001). Sex differences in antisocial behavior: Conduct disorder, delinquency, and violence in the Dunedin Longitudinal Study. New York, NY: Cambridge University Press.
48. Morgan, P. L., Farkas, G., Tufis, P. A., & Sperling, R. A. (2008). Are reading and behavior problems risk factors for each other?Journal of Learning Disabilities, 41, 417-436.
49. Morgan, P. L., Farkas, G., & Wu, Q. (2009). Kindergarten predictors of recurring externalizing and internalizing psychopathology in the third and fifth grades. Journal of Emotional and Behavioral Disorders, 17, 67-79.
50. Newcomb, M. D., Abbott, R. D., Catalano, R. F., Hawkins, J. D., Battin-Pearson, S., & Hill, K. (2002). Mediational and deviance theories of late high school failure: Process roles of structural strains, academic competence, and general versus specific problem behaviors. Journal of Counseling Psychology, 49, 172-186.
51. Newcomb, M. D., & Bentler, P. M. (1988). Consequences of adolescent drug use: Impact on the lives of young adults. Newbury Park, CA: Sage Publications.
52. Ogbu, J. U. (1991). Minority coping response and school experience. Journal of Psychohistory, 18, 433-456.
53. Pelkonen, M., Marttunen, M., & Aro, H. (2003). Risk for depression: A 6-year follow-up of Finnish adolescents. Journal of Affective Disorders, 77, 41-51.
54. Reynolds, C. R., & Richmond, B. O. (1985). Revised Children's Manifest Anxiety scale. Los Angeles, CA: Western Psychological Services.
55. Roeser, R. W., Eccles, J. S., & Strobel, K. R. (1998). Linking the study of schooling and mental health: Selected issues and empirical illustrations at the level of the individual. Educational Psychologist, 33, 153-176.
56. SAS Institute (2004). SAS/STAT 9.1 user's guide. Cary, NC: SAS Institute.
57. Schulenberg, J., Bachman, J. G., O'Malley, P. M., & Johnston, L. D. (1994). High school educational success and subsequent substance use: A panel analysis following adolescents into young adulthood. Journal of Health and Social Behavior, 35, 45-62.
58. Skager, R., & Fisher, D. G. (1989). Substance use among high school students in relation to school characteristics. Addictive Behaviors, 14, 129-138.
59. Steinberg, L., & Fletcher, A. C. (1998). Data analytic strategies in research on ethnic minority youth. In V. C. McLoyd & L. Steinberg (Eds.), Studying minority adolescents: Conceptual, methodological, and theoretical issues (pp. 279-294). Mahwah, NJ: Lawrence Erlbaum Associates.
60. Stipek, D. (2002). Good instruction is motivating. In A. Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (pp. 309-332). San Diego, CA: Academic Press.
61. Thornberry, T. P., & Krohn, M. D. (2000). The self-report method for measuring delinquency and crime. In D. Duffee (Ed.), Criminal justice 2000: Measurement and analysis of crime and justice (Vol. 4, pp. 33-84). Washington, DC: US National Institute of Justice.
62. United States Census Bureau. (2000). American factfinder. Retrieved from
63. Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25, 68-81.
64. Wigfield, A., Eccles, J. S., Schiefele, U., Roeser, R., & Davis-Kean, P. (2006). Development of achievement motivation. In W. Damon, R. M. Lerner, & N. Eisenberg (Eds.), Handbook of child psychology: Vol. 3. Social, emotional, and personality development (6th ed., pp. 933-1002). Hoboken, NJ: Wiley.
65. Woodward, L. J., & Fergusson, D. M. (2001). Life course outcomes of young people with anxiety disorders in adolescence. Journal of American Academy of Child and Adolescent Psychiatry, 40, 1086-1093.
66. Zeger, S. L., & Liang, K. Y. (1986). Longitudinal data analysis for discrete and continuous outcomes. Biometrics, 42, 121-130.
67. Zeger, S. L., Liang, K. Y., & Albert, P. S. (1988). Models for longitudinal data: A generalized estimating equation approach. Biometrics, 44, 1049-1060.
68. Zimmerman, M. A., & Schmeelk-Cone, K. H. (2003). Longitudinal analysis of adolescent substance use and school motivation among African American youth. Journal of Research on Adolescence, 13, 185-210.