Skip to main content
Log in

Social Status Attainment During the Transition to Adulthood

  • Empirical Research
  • Published:
Journal of Youth and Adolescence Aims and scope Submit manuscript

Abstract

The transition from adolescence to adulthood is a critical time for status attainment, with income, education, work experience, and independence from parents accruing at varying speeds and intensities. This study takes an intergenerational life-course perspective that incorporates parents’ and one’s own social status to examine the status attainment process from adolescence into adulthood in the domains of economic capital (e.g., income) and human capital (e.g., education, occupation). Survey data from three waves of the National Longitudinal Study of Adolescent Health (analytic n = 8,977) are analyzed using latent class analysis to capture the ebb and flow of social status advantages and disadvantages from adolescence (Wave 1) through young adulthood (Wave 3) into adulthood (Wave 4). The analytic sample is composed of 50.3 % females and 70.2 % Whites, 15.3 % Blacks, 11.0 % Hispanics, and 3.5 % Asians ages 12–18 at Wave 1 and 25–31 at Wave 4. Four latent classes are found for economic capital and five for human capital. The importance of parents’ social status is demonstrated by the presence of large groups with persistently low and persistently high social status over time in both domains. The capacity of individuals to determine their own status, however, is shown by equally large groups with upward and downward mobility in both domains. These findings demonstrate the dynamic nature of social status during this critical developmental period.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Arbuckle, J. L. (1996). Full information estimation in the presence of incomplete data. In G. Marcoulides & R. Schumacker (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 243–278). Mahwah, NJ: Lawrence Erlbaum Associates Inc.

    Google Scholar 

  • Arnett, J. J. (2000). Emerging adulthood—A theory of development from the late teens through the twenties. American Psychologist, 55(5), 469–480.

    Article  PubMed  Google Scholar 

  • Becker, G. S. (1993). Human capital: A theoretical and empirical analysis, with special reference to education (3rd ed.). Chicago: The University of Chicago Press.

    Book  Google Scholar 

  • Bergman, L. R., & Magnusson, D. (1997). A person-oriented approach in research on developmental psychopathology. Development and Psychopathology, 9(2), 291–319.

    Article  PubMed  Google Scholar 

  • Berlin, G., Furstenberg, F. F., & Waters, M. C. (2010). Introducing the issue: transition to adulthood. The Future of Children, 20(1), 3–18.

    Article  Google Scholar 

  • Blau, P., & Duncan, O. (1967). The American occupational structure. New York: Wiley.

    Google Scholar 

  • Bourdieu, P. (1986). The forms of capital. In J. Richardson (Ed.), Handbook of theory and research for the sociology of education (pp. 241–258). Westport, CT: Greenwood.

    Google Scholar 

  • Braveman, P., Cubbin, C., Egerter, S., Chideya, S., Marchi, K. S., Metzler, M., et al. (2005). Socioeconomic status in health research: One size does not fit all. JAMA, 294(22), 2879–2888.

    Article  PubMed  Google Scholar 

  • Campbell, M., Haveman, R., Sandefur, G., & Wolfe, B. (2005). Economic inequality and educational attainment across a generation. Focus, 23(3), 11–15.

    Google Scholar 

  • Chen, E., Martin, A., & Matthews, K. (2006). Socioeconomic status and health: Do gradients differ within childhood and adolescence? Social Science and Medicine, 62(9), 2161–2170.

    Article  PubMed  Google Scholar 

  • Clogg, C. C. (1995). Latent Class Models. In G. Arminger, C. C. Clogg, & M. E. Sobel (Eds.), Handbook of statistical modeling for the social and behavioral sciences (pp. 311–359). New York: Plenum Press.

  • Cohen, S., Janicki-Deverts, D., Chen, E., & Matthews, K. (2010). Childhood socioeconomic status and adult health. Annals of the New York Academy of Sciences, 1186, 37–55.

    Article  PubMed  Google Scholar 

  • Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transitional analysis: With applications in the social, behavioral, and health sciences. Hoboken, NJ: John Wiley & Sons Inc.

    Google Scholar 

  • Cubbin, C., Vesely, S. K., Braveman, P. A., & Oman, R. F. (2011). Socioeconomic factors and health risk behaviors among adolescents. American Journal of Health Behavior, 35(1), 28–39.

    Article  PubMed  Google Scholar 

  • Dannefer, D. (2003). Cumulative advantage/disadvantage and the life course: Cross-fertilizing age and social science theory. Journals of Gerontology Series B-Psychological Sciences and Social Sciences, 58(6), S327–S337.

    Article  Google Scholar 

  • Do, D. P. (2009). The dynamics of income and neighborhood context for population health: Do long-term measures of socioeconomic status explain more of the black/white health disparity than single-point-in-time measures? Social Science and Medicine, 68(8), 1368–1375.

    Article  PubMed Central  PubMed  Google Scholar 

  • Duncan, G. J., Yeung, W. J., Brooks-Gunn, J., & Smith, J. R. (1998). How much does childhood poverty affect the life chances of children? American Sociological Review, 63(3), 406–423.

    Article  Google Scholar 

  • Elder, G., Johnson, M. K., & Crosnoe, R. (2004). The emergence and development of life course theory. In J. T. Mortimer & M. J. Shanahan (Eds.), Handbook of the life course (pp. 3–19). New York: Springer.

    Google Scholar 

  • Foster, H., Hagan, J., & Brooks-Gunn, J. (2008). Growing up fast: Stress exposure and subjective ‘weathering’ in emerging adulthood. Journal of Health and Social Behavior, 49(2), 162–177.

    Article  PubMed  Google Scholar 

  • Frytak, J. R., Harley, C. R., & Finch, M. D. (2003). Socioeconomic status and health over the life course: Capital as a unifying concept. In J. T. Mortimer’ & M. J. Shanahan (Eds.), Handbook of the life course (pp. 623–643). New York: Kluwer Academic Publishers.

    Chapter  Google Scholar 

  • Furstenberg, F. F. (2008). The intersections of social class and the transition to adulthood. In J. T. Mortimer (Ed.), Social class and transitions to adulthood: New directions for child and adolescent development (No. 119, pp. 1–10). Jossey-Bass.

  • Furstenberg, F. F. (2010). On a new schedule: Transitions to adulthood and family change. The Future of Children, 20(1), 67–87.

    Article  PubMed  Google Scholar 

  • Furstenberg, F. F., Rumbaut, R. G., & Settersten, R. A., Jr. (2005). On the frontier of adulthood: Emerging themes and directions. In R. A. Settersten Jr, F. F. Furstenberg, & R. G. Rumbaut (Eds.), On the frontier of adulthood: Theory, research, and public policy (pp. 3–25). Chicago: University of Chicago Press Ltd.

    Chapter  Google Scholar 

  • Goodman, E., & Huang, B. (2002). Socioeconomic status, depressive symptoms, and adolescent substance use. Archives of Pediatrics and Adolescent Medicine, 156(5), 448–453.

    Article  PubMed  Google Scholar 

  • Grusky, D. B., & Ku, M. C. (2008). Gloom, doom, and inequality. In D. B. Grusky, M. C. Ku, & S. Szelenyi (Eds.), Social stratification: Class, race, and gender in sociological perspective (3rd ed., pp. 2–28). Boulder, CO: Westview Press.

    Google Scholar 

  • Grusky, D. B., Ku, M. C., & Szelényi, S. (2008). Social stratification: Class, race, and gender in sociological perspective (3rd ed.). Boulder, CO: Westview Press.

    Google Scholar 

  • Hagenaars, J. A., & Mccutcheon, A. L. (2002). Applied latent class analysis. Cambridge, NY: Cambridge University Press.

  • Hanson, M., & Chen, E. (2007). Socioeconomic status and health behaviors in adolescence: A review of the literature. Journal of Behavioral Medicine, 30, 263–285.

    Google Scholar 

  • Harris, K. M. (2010). An integrative approach to health. Demography, 47(1), 1–22.

    Article  PubMed Central  PubMed  Google Scholar 

  • Harris, K. M. (2011). Design features of add health. Chapel Hill, NC: University of North Carolina.

    Google Scholar 

  • Harris, K. M., Halpern, C. T., Whitsel, E., Hussey, J., Tabor, J., Entzel, P., et al. (2009). The National Longitudinal Study of Adolescent Health: Research design. http://www.cpc.unc.edu/projects/addhealth/design. Accessed March 25, 2010.

  • Johnson, M. K., & Mollborn, S. (2009). Growing up faster, feeling older: Hardship in childhood and adolescence. Social Psychology Quarterly, 72, 39–60.

    Article  PubMed Central  PubMed  Google Scholar 

  • Krieger, N., Williams, D. R., & Moss, N. E. (1997). Measuring social class in US public health research: Concepts, methodologies, and guidelines. Annual Review of Public Health, 18, 341–378.

    Article  PubMed  Google Scholar 

  • Lanza, S. T., Collins, L. M., Lemmon, D. R., & Schafer, J. L. (2007). PROC LCA: A SAS procedure for latent class analysis. Structural Equation Modeling-a Multidisciplinary Journal, 14, 671–694.

    Article  PubMed Central  PubMed  Google Scholar 

  • Lazarsfeld, P. F., & Henry, N. W. (1968). Latent structure analysis. New York: Houghton.

    Google Scholar 

  • Lo, Y. T., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767–778.

    Article  Google Scholar 

  • McCutcheon, A. L. (1987). Latent class analysis (Sage university papers series quantitative applications in the social sciences, Vol. 07-064). Newbury Park, CA: Sage.

  • Muthen, L., & Muthen, B. (1998–2011). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthen & Muthen.

  • Nylund, K. L., Asparoutiov, T., & Muthen, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling-a Multidisciplinary Journal, 14(4), 535–569.

    Article  Google Scholar 

  • Oakes, J. M., & Rossi, P. H. (2003). The measurement of SES in health research: Current practice and steps toward a new approach. Social Science and Medicine, 56(4), 769–784.

    Article  PubMed  Google Scholar 

  • Palloni, A. (2006). Reproducing inequalities: Luck, wallets, and the enduring effects of childhood health. Demography, 43(4), 587–615.

    Article  PubMed  Google Scholar 

  • Pollack, C. E., Chideya, S., Cubbin, C., Williams, B., Dekker, M., & Braveman, P. (2007). Should health studies measure wealth? A systematic review. American Journal of Preventive Medicine, 33(3), 250–264.

    Article  PubMed  Google Scholar 

  • Scharoun-Lee, M., Gordon-Larsen, P., Adair, L. S., Popkin, B. M., Kaufman, J. S., & Suchindran, C. M. (2011). Intergenerational profiles of socioeconomic (dis)advantage and obesity during the transition to adulthood. Demography, 48(2), 625–651.

    Article  PubMed Central  PubMed  Google Scholar 

  • Schoon, I. (2008). A transgenerational model of status attainment: The potential mediating role of school motivation and education. National Institute Economic Review, 205, 72–82.

    Google Scholar 

  • Schwarz, G. (1978). Estimating dimension of a model. Annals of Statistics, 6(2), 461–464.

    Article  Google Scholar 

  • Sclove, S. L. (1987). Application of model-selection criteria to some problems in multivariate-analysis. Psychometrika, 52(3), 333–343.

    Article  Google Scholar 

  • Settersten, R. A., Furstenberg, F. F., & Rumbaut, R. G. (2005). On the frontier of adulthood: Theory, research, and public policy (John D and Catherine T Macarthur Foundation series on mental health and development Research Network on Transitions to Adulthood and Public Policy). Chicago, IL: University of Chicago Press.

  • Settersten, R. A., Jr, & Ray, B. (2010). What’s going on with young people today? The long and twisting path to adulthood. The Future of Children, 20(1), 19–41.

    Article  PubMed  Google Scholar 

  • Sewell, W. H., & Hauser, R. M. (1975). Education, occupation, and earnings: Achievement in the early career. New York: Academic Press.

    Google Scholar 

  • Shanahan, M. (2000). Pathways to adulthood in changing societies: Variability and mechanisms in life course perspective. Annual Review of Sociology, 26, 667–692.

    Article  Google Scholar 

  • StataCorp. (2011). Stata Statistical Software: Release 12. College Station, TX: StataCorp LP.

    Google Scholar 

  • Warren, J. R. (2009). Socioeconomic status and health across the life course: A test of the social causation and health selection hypotheses. Social Forces, 87(4), 2125–2153.

    Article  Google Scholar 

  • Wothke, W. (2000). Longitudinal and multi-group modeling with missing data. In T. D. Little, K. U. Schnabel, & J. Baumert (Eds.), Modeling longitudinal and multiple group data: practical issues, applied approaches and specific examples (pp. 219–240). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

Download references

Acknowledgments

This research uses data from Add Health, a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill, and funded by Grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 23 other federal agencies and foundations. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website (http://www.cpc.unc.edu/addhealth). No direct support was received from Grant P01-HD31921 for this analysis. A National Institute of Drug Abuse (NIDA) predoctoral fellowship (T32-DA007272-20) and National Institute of Alcohol Abuse and Alcoholism (NIAAA) postdoctoral fellowship (T32-AA0072-40) provided additional funding (to CKL) for this research. PJC was supported in part by the CDC Prevention Research Centers Program (U48 DP001934). SPW received partial support from the UCLA Resource Centers for Minority Aging Research Center for Health Improvement of Minority Elderly (RCMAR/CHIME) under National Institute of Aging (NIA) Grant P30-AG021684. The content of this article does not necessarily represent the official views of the NIDA, NIAAA, NIA or the NIH. CKL would like to thank Christine Grella and Chandra Ford for helpful comments with study conceptualization.

Conflict of interest

The authors declare that they have no conflict of interest.

Author Contributions

CKL conceived of the present research questions, conducted the statistical analyses and drafted the manuscript; PJC obtained the data, made it available and contributed to the interpretation of the results and revisions of the text; SPW provided feedback on analyses and contributed to the interpretation of the results and; and CSA contributed to the interpretation of the results and revisions of the text. All authors read and approved the final manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Camillia K. Lui.

Appendices

Appendix 1

See Table 6.

Table 6 Fit indices for latent class analyses of economic capital

Appendix 2

See Table 7.

Table 7 Fit indices for latent class analyses of human capital

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lui, C.K., Chung, P.J., Wallace, S.P. et al. Social Status Attainment During the Transition to Adulthood. J Youth Adolescence 43, 1134–1150 (2014). https://doi.org/10.1007/s10964-013-0030-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10964-013-0030-6

Keywords

Navigation