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Longitudinal predictors of adult socioeconomic attainment: The roles of socioeconomic status, academic competence, and mental health

Published online by Cambridge University Press:  24 January 2011

Lisa Slominski ,
Arnold Sameroff ,
Katherine Rosenblum  and
Tim Kasser
Lisa Slominski*
Affiliation:
University of Michigan
Arnold Sameroff
Affiliation:
University of Michigan
Katherine Rosenblum
Affiliation:
University of Michigan
Tim Kasser
Affiliation:
Knox College
*
Address correspondence and reprint requests to: Lisa Slominski, Department of Psychology, Emory University, 36 Eagle Row, Atlanta, GA 30322; E-mail: lslomin@emory.edu.
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Abstract

Educational attainment and occupational status are key markers of success in adulthood. We expand upon previous research that focused primarily on the contributions of academic competence and family socioeconomic status (SES) by investigating the role of mental health in predicting adult SES. In a longitudinal study spanning 30 years, we used structural equation modeling to examine how parental mental health in early childhood and family SES, offspring academic competence, and offspring mental health in adolescence relate to occupational and educational attainment at age 30. Results were that adolescent academic competence predicted adult educational attainment, and that educational attainment then predicted occupational attainment. The pathways between academic competence and occupational attainment, family SES and educational attainment, and family SES and occupational attainment were not significant. In contrast, adolescent mental health not only predicted educational attainment, but was also directly related to adult occupational attainment. Finally, early maternal mental health was associated with offspring's adult socioeconomic attainment through its relations with adolescent academic competence and mental health. These results highlight the importance of mental health to adult socioeconomic attainment.

Type
Regular Articles
Information
Development and Psychopathology , Volume 23 , Issue 1 , February 2011 , pp. 315 - 324
Copyright
Copyright © Cambridge University Press 2011

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References

Ammons, R., & Ammons, C. (1962). The Quick Test (QT): Provisional manual. Psychological Reports, 11, 111–161.CrossRefGoogle Scholar
Asarnow, J., Tompson, M., Woo, S., & Cantwell, D. (2001). Is expressed emotion a specific risk factor for depression or a nonspecific correlate of psychopathology? Journal of Abnormal Child Psychology, 29, 573–583.CrossRefGoogle ScholarPubMed
Beardslee, W., Versage, E., & Gladstone, T. (1998). Children of affectively ill parents: A review of the past 10 years. Journal of the American Academy of Child & Adolescent Psychiatry, 37, 1134–1141.CrossRefGoogle ScholarPubMed
Bird, H., Canino, G., Rubio-Stipec, & Ribera, J. (1987). Further measures of the psychometric properties of the Children's Global Assessment Scale. Archives of General Psychiatry, 44, 821–824.CrossRefGoogle ScholarPubMed
Blau, P., & Duncan, O. (1967). The American occupational structure. New York: Wiley.Google Scholar
Ceci, S., & Williams, W. (1997). Schooling, intelligence, and income. American Psychologist, 52, 1051–1058.CrossRefGoogle Scholar
Ceci, S. J. (1991). How much does schooling influence general intelligence and its cognitive components? A reassessment of the evidence. Developmental Psychology, 27, 703–722.CrossRefGoogle Scholar
Corwyn, R., & Bradley, R. (2002). Stability of maternal socioemotional investment in young children. Science and Practice, 2, 27–46.CrossRefGoogle Scholar
Creed, P. (1999). Personality characteristics in unemployed Australian males—Implications for “drift” hypothesis. Psychological Reports, 84, 477–480.CrossRefGoogle Scholar
Deary, I., Taylor, M. D., Hart, C. L., Wilson, V., Smith, G. D., Blane, D., et al. (2005). Intergenerational social mobility and mid-life status attainment: Influences of childhood intelligence, childood social factors, and education. Intelligence, 33, 455–472.CrossRefGoogle Scholar
Dembling, B., Rovnyak, V., Mackey, S., & Blank, M. (2002). Effects of geographic migration on SMI prevalence estimates. Mental Health Services Research, 4, 7–12.CrossRefGoogle ScholarPubMed
Duncan, G., Brooks-Gunn, J., & Klebanov, P. (1994). Economic deprivation and early childhood development. Child Development, 65, 296–318.CrossRefGoogle ScholarPubMed
Enders, C. (2001). The performance of the full information maximum likelihood estimator in multiple regression models with missing data. Educational and Psychological Measurement, 61, 713–740.CrossRefGoogle Scholar
Entwisle, D., Alexander, K., & Olson, L. (2005). First grade and educational attainment by age 22: A new story. American Journal of Sociology, 110, 1458–1502.CrossRefGoogle Scholar
Gottfredson, L. S. (2003). G, jobs, and life. In Nyborg, H. (Ed.), The scientific study of general intelligence: Tribute to Arthur R. Jenson (pp. 293–342). Amsterdam: Pergamon Press.CrossRefGoogle Scholar
Greven, C., Harlaar, N., Kovas, Y., Chamorro-Premuzie, T., & Plomin, R. (2009). More than just IQ. Psychological Science, 20, 753–762.CrossRefGoogle ScholarPubMed
Gutman, L. M., Sameroff, A. J., & Cole, R. (2003). Academic growth curve trajectories from first to twelfth grades: Effects of multiple social risk and preschool child factors. Developmental Psychology, 39, 777–790.CrossRefGoogle Scholar
Herjanic, B., & Reich, W. (1982). Development of a structured psychiatric interview for children: Agreement between child and parent on individual symptoms. Journal of Abnormal Child Psychology, 10, 307–324.CrossRefGoogle ScholarPubMed
Hollingshead, A. A. (1975). Four-Factor Index of Social Status. Unpublished manuscript, Yale University.Google Scholar
Hossler, D., & Stage, F. (1992). Family and high school experience influences on the postsecondary educational plans of ninth-grade students. American Educational Research Journal, 29, 425–451.CrossRefGoogle Scholar
Hoyle, R. H. (1995). Structural equation modeling: Concepts, issues, and applications. Thousand Oaks, CA: Sage.Google Scholar
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRefGoogle Scholar
Hudson, C. (2005). Socioeconomic status and mental illness: Tests of the social causation and selection hypothesis. American Journal of Orthopsychiatry, 75, 3–18.CrossRefGoogle Scholar
Jastak, J., & Jastak, S. (1978). Manual for the Wide Range Achievement Test. Wilmington, DE: Jastak Associates.Google Scholar
Jencks, C., Smith, M., Acland, H., Bane, M., Cohen, D., Gintis, H., et al. (1972). Inequality. A reassessment of the effect of family background and schooling in America. New York: Harper Colophon Books.Google Scholar
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005). Prevalence, severity, and comorbidity of twelve-month DSM-IV disorders in the National Comorbidity Survey Replication (NCS-R). Archives of General Psychiatry, 62, 617–627.CrossRefGoogle Scholar
Link, B., Lennon, M., & Dohrenwend, B. (1993). Socioeconomic status and depression: The role of occupations involving direction, control, and planning. American Journal of Sociology, 98, 1351–1387.CrossRefGoogle Scholar
Loeffler, W., & Haefner, H. (1999). Ecological patterns of first admitted schizophrenics in two German cities over 25 years. Social Science and Medicine, 49, 93–108.CrossRefGoogle Scholar
Luster, T., & McAdoo, H. (1996). Family and child influences on educational attainment: A secondary analysis of the high/scope Perry Preschool data. Developmental Psychology, 32, 26–39.CrossRefGoogle Scholar
MacKinnon, D., Lockwood, C., & Hoffman, J. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7, 83–104.CrossRefGoogle ScholarPubMed
Meich, R., & Chilcoat, H. (2005). Maternal education and adolescent drug use: A longitudinal analysis of causation and selection over a generation. Social Science and Medicine, 60, 725–735.CrossRefGoogle Scholar
Mitchell, R. J. (1993). Path analysis: Pollination. In Schneider, S. M. & Gurevitch, J. (Eds.), Design and analysis of ecological experiments (pp. 211–231). New York: Chapman & Hall.Google Scholar
Moos, R., Nichol, A., & Moos, B. (2002). Global assessment of functioning ratings and the allocation and outcomes of mental health services. Psychiatric Services, 53, 730–737.CrossRefGoogle ScholarPubMed
Mortimer, A., & Bowen, K. (1999). Measuring IQ in schizophrenia research: An update of the Quick Test in estimating IQ decline. Cognitive Neuropsychiatry, 4, 81–88.CrossRefGoogle Scholar
Oyserman, D., Mowbray, C., Meares, P., & Firminger, K. (2000). Parenting among mothers with a serious mental illness. American Journal of Orthopsychiatry, 70, 296–315.CrossRefGoogle ScholarPubMed
Raykov, T. (2005). Analysis of longitudinal studies iwth misisng data using covariance structure modeling with full information maximum likelihood. Structural Equation Modeling: A Multidisciplinary Journal, 12, 493–505.CrossRefGoogle Scholar
Ritsher, J., Warner, E., Johnson, J., & Dohrenwend, B. (2001). Intergenerational longitudinal study of social class and depression: A test of social causation and social selection models. British Journal of Psychiatry, 178, 84–90.CrossRefGoogle Scholar
Sameroff, A. J., & Seifer, R. (1983). Familial risk and child competence. Child Development, 54, 1254.CrossRefGoogle ScholarPubMed
Sameroff, A. J., Seifer, R., & Zax, M. (1982). Early development of children at risk for emotional disorder. Monographs of the Society for Research in Child Development, 47.CrossRefGoogle ScholarPubMed
Schaffer, D., Gould, M., Brasic, J., Ambrosini, P., Fisher, P., Bird, H., et al. (1983). A children's global assessment scale (CGAS). Archives of General Psychiatry, 40, 1228–1231.CrossRefGoogle Scholar
Schmidt, F. L., & Hunter, J. (2004). General mental ability in the world of work: Occupational attainment and job performance. Journal of Personality and Social Psychology, 86, 162–173.CrossRefGoogle ScholarPubMed
Schulenberg, J., & Zarrett, N. (2006). Mental health during emerging adulthood: Continuity and discontinuity in courses, causes, and functions. In Arnett, J. & Tanner, J. (Eds.), Emerging adults in America: Coming of age in the 21st century (pp. 135–172). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Spitzer, R., & Endicott, J. (1972). Current and Past Psychopathology Scales (CAPPS). Archives of General Psychiatry, 27, 678–680.Google Scholar
Stevens, J. (1996). Applied multivariate statistics for the social sciences. In Grimm, L. & Yarnell, P. (Eds.), Reading and understanding more multivariate statistics (pp. 261–284). Washington, DC: American Psychological Association.Google Scholar
Strenze, T. (2007). Intelligence and socioeconomic success: A meta-analytic review of longitudinal research. Intelligence, 35, 401–426.CrossRefGoogle Scholar
Vandenberg, R. (2002). Toward a further understanding of an improvement in measurement invariance methods and procedures. Organizational Research Methods, 5, 139–158.CrossRefGoogle Scholar