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Dimensions of adolescent rebellion: Risks for academic failure among high- and low-income youth

Published online by Cambridge University Press:  07 April 2005

SUNIYA S. LUTHAR  and
NADIA S. ANSARY
SUNIYA S. LUTHAR
Affiliation:
Teachers College, Columbia University
NADIA S. ANSARY
Affiliation:
Teachers College, Columbia University
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Abstract

The central question addressed in this study was whether upper class, suburban teenagers can engage in various problem behaviors and still maintain adequate academic grades, because of environmental safety nets, unlike their low-income, inner-city counterparts. Three problem behavior dimensions were assessed among tenth graders, that is, substance use, delinquency, and low school engagement. Academic achievement was assessed in terms of grades across four major subjects. Variable-based analyses indicated unique links with grades for self-reported delinquency and school disengagement in high- and low-income samples, but for substance use only among the former. Person-based analyses showed that in both schools, grades were clearly compromised among youth with disturbances in all three problem domains. In addition, in the suburban school only, grades were low in the cluster characterized chiefly by high substance use. Results are discussed in terms of stereotypes regarding risks (or lack thereof) stemming from families' socioeconomic status; implications for theory and interventions are also considered.Preparation of this manuscript was funded in part by grants from the National Institutes of Health (RO1-DA10726, RO1-DA11498, R01-DA14385), the William T. Grant Foundation, and the Spencer Foundation.

Type
Research Article
Information
Development and Psychopathology , Volume 17 , Issue 1 , March 2005 , pp. 231 - 250
Copyright
© 2005 Cambridge University Press

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References

REFERENCES

Ainsworth–Darnell, J. W., & Downey, D. B. (1998). Assessing the oppositional culture explanation for racial/ethnic differences in school performance. American Sociological Review 63, 536–553.Google Scholar
Allen, J. P., Leadbeater, B. J., & Aber, J. L. (1990). The relationship of adolescents' expectations and values to delinquency, hard drug use, and unprotected sexual intercourse. Development and Psychopathology 2, 85–98.Google Scholar
Baer, J. S., MacLean, M. G., & Marlatt, G. A. (1998). Linking etiology and treatment for adolescent substance abuse: Toward a better match. In R. Jessor (Ed.), New perspectives on adolescent risk behavior (pp. 182–220). New York: Cambridge University Press.
Becker, B. E., & Luthar, S. S. (2004). Liked most, admired, and disliked adolescents: Contextual variations in correlates of social status. Manuscript submitted.
Bergman, L. R., & Magnusson, D. (1997). A person-oriented approach in research on developmental psychopathology. Development and Psychopathology 9, 291–319.Google Scholar
Beuhring, T., Saewyc, E. M., Stern, C. B., & Resnick, M. D. (1996). Voice of Connecticut youth: A statewide survey of adolescent health. Minneapolis, MN: University of Minnesota.
Beyers, J. M., Loeber, R., Wikström, P. H., & Stouthamer–Loeber, M. (2001). What predicts adolescent violence in better-off neighborhoods? Journal of Abnormal Child Psychology 29, 369–381.Google Scholar
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.Google Scholar
Bryant, A. L., & Zimmerman, M. A. (2002). Examining the effects of academic beliefs and behaviors on changes in substance use among urban adolescents [electronic version]. Journal of Educational Psychology 94, 621–637.Google Scholar
Chassin, L., Presson, C. C., Sherman, S. J., & Kim, K. (2003). Historical changes in cigarette smoking and smoking-related beliefs after 2 decades in a midwestern community. Health Psychology 22, 347–353.Google Scholar
Cicchetti, D., & Rogosch, F. A. (2002). A developmental psychopathology perspective on adolescence. Journal of Consulting & Clinical Psychology 70, 6–20.Google Scholar
Cicchetti, D., & Schneider–Rosen, K. (1984). Toward a transactional model of childhood depression. New Directions for Child Development 26, 5–27.Google Scholar
Coie, J. D., Dodge, K. A., & Coppotelli, H. (1982). Dimensions and types of social status: A cross-age perspective. Developmental Psychology 18, 557–570.Google Scholar
Coie, J. D., & Jacobs, M. R. (1993). The role of social context in the prevention of conduct disorder. Development and Psychopathology 5, 263–275.Google Scholar
Cook, P. J., & Ludwig, J. (1998). The burden of “acting White:” Do Black adolescents disparage academic achievement? In C. Jencks & M. Phillips (Eds.), The Black–White test score gap (pp. 375–400). Washington, DC: Brookings Institute.
Crawford, A. M., Pentz, M. A., Chou, C., Li, C., & Dwyer, J. H. (2003). Parallel developmental trajectories of sensation seeking and regular substance use in adolescents. Psychology of Addictive Behaviors 17, 179–192.Google Scholar
Dryfoos, J. G. (1990). Adolescents at risk: Prevalence and prevention. New York: Oxford University Press.
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.Google Scholar
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. Newbury Park, CA: Sage.
Ensminger, M. E., & Joun, H. S. (1998). Transition to adulthood among high-risk youth. In R. Jessor (Ed.), New perspectives on adolescent risk behavior (pp. 365–391). New York: Cambridge University Press.
Farmer, T. W., Estell, D. B., Bishop, J. L., O'Neal, K. K., & Cairns, B. D. (2003). Rejected bullies or popular leaders? The social relations of aggressive subtypes of rural African American early adolescents. Developmental Psychology 39, 992–1004.Google Scholar
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.Google Scholar
Fordham, S., & Ogbu, J. U. (1986). Black students' school success: Coping with the “burden of ‘acting white.’” Urban Review 18, 176–206.Google Scholar
Garcia Coll, C., Akerman, A., & Cicchetti, D. (2000). Cultural influences on developmental processes and outcomes: Implications for the study of development and psychopathology. Development and Psychopathology 12, 333–356.Google Scholar
Garcia Coll, C., Lamberty, G., Jenkins, R., McAdoo, H. P., Crnic, K., Wasik, B. H., & Vasquez Garcia, H. (1996). An integrative model for the study of developmental competencies in minority children. Child Development 67, 1891–1914.Google Scholar
Graham, S. (1997). Using attribution theory to understand social and academic motivation in African American youth. Educational Psychologist 32, 21–34.Google Scholar
Graham, S., Taylor, A. Z., & Hudley, C. (1998). Exploring achievement values among ethnic minority early adolescents. Journal of Educational Psychology 90, 606–620.Google Scholar
Heine, S. J., Lehman, D. R., Peng, K., & Greenholtz, J. (2002). What's wrong with cross-cultural comparisons of subjective Likert scales?: The reference-group effect. Journal of Personality & Social Psychology 82, 903–918.Google Scholar
Hightower, A. D., Work, W. C., Cowen, E. L., Lotyczewski, B. S., Spinell, A. P., Guare, J. C., & Rohrbeck, C. A. (1986). The Teacher–Child Rating Scale: A brief objective measure of elementary children's school problem behaviors and competencies. School Psychology Review 15, 393–409.Google Scholar
Hinshaw, S. P. (1992). Externalizing behavior problems and academic underachievement in childhood and adolescence: Causal relationships and underlying mechanisms. Psychological Bulletin 111, 127–155.Google Scholar
Hobfoll, S. E., Ritter, C., Lavin, J., Hulsizer, M. R., & Cameron, R. P. (1995). Depression prevalence and incidence among inner-city pregnant and postpartum women. Journal of Consulting and Clinical Psychology 63, 445–453.Google Scholar
Hops, H., Davis, B., & Lewin, L. M. (1999). The development of alcohol and other substance use: A gender study of family and peer context. Journal of Studies on Alcohol 13, 22–31.Google Scholar
Huizinga, D., & Elliot, D. S. (1986). Reassessing the reliability and validity of self report delinquency measures. Journal of Quantitative Criminology 2, 293–327.Google Scholar
Huston, A. C., McLoyd, V. C., & Garcia Coll, C. (1994). Children and poverty: Issues in contemporary research. Child Development 65, 275–282.Google Scholar
Huston, A. C., McLoyd, V. C., & Garcia Coll, C. (1997). Poverty and behavior: The case for multiple methods and levels of analysis. Developmental Review 17, 376–393Google Scholar
Janosz, M., Le Blanc, M., Boulerice, B., & Tremblay, R. E. (2000). Predicting different types of school dropouts: A typological approach with two longitudinal samples. Journal of Educational Psychology 92, 171–190.Google Scholar
Jessor, R. (Ed.). (1998). New perspectives on adolescent risk behavior. New York: Cambridge University Press.
Jessor, R., Donovan, J. E., & Costa, F. M. (1991). Beyond adolescence: Problem behavior and young adult development. New York: Cambridge University Press.
Johnston, L. D., Bachman, J. G., & O'Malley, P. M. (1989). Monitoring the future: Questionnaire responses from the nation's high school seniors, 1988. Ann Arbor, MI: Survey Research Center, Institute for Social Research.
Johnston, L. D., O'Malley, P. M., & Bachman, J. G. (1984). Drugs and American high school students: 1975–1983 (DHHS Publication No. ADM 85–1374). Washington, DC: US Government Printing Office.
Kazdin, A. E. (1995). Conduct disorders in childhood and adolescence (2nd ed). Thousand Oaks, CA: Sage.
Kottler, J., Montgomery, M., & Shepard, D. (2004). Acquisitive desire: Assessment and treatment. In T. Kasser & A. D. Kanner (Eds.), Psychology and consumer culture: The struggle for a good life in a materialistic world. Washington, DC: APA Books.
Lloyd–Richardson, E. E., Papandonatos, G., Kazura, A., Stanton, C., & Niaura, R. (2002). Differentiating stages of smoking intensity among adolescents: Stage-specific psychological and social influences [electronic version]. Journal of Consulting and Clinical Psychology 70, 998–1009.Google Scholar
Loeber, R., Farrington, D. P., Stouthamer–Loeber, M., & Van Kammen, W. B. (1998). Multiple risk factors for multiproblem boys: Co-occurrence of delinquency, substance use, attention deficit, conduct problems, physical aggression, covert behavior, depressed mood, and shy/withdrawn behavior. In R. Jessor (Ed.), New perspectives on adolescent risk behavior (pp. 90–149). New York: Cambridge University Press.
Loeber, R., & Stouthamer–Loeber, M. (1998). Development of juvenile aggression and violence: Some common misconceptions and controversies. American Psychologist 53, 242–259.Google Scholar
Loeber, R., Stouthamer–Loeber, M., Farrington, D. P., Lahey, B. B., Keenan, K., & White, H. R. (2002). Editorial introduction: Three longitudinal studies of children's development in Pittsburgh: The Developmental Trends Study, the Pittsburgh Youth Study, and the Pittsburgh Girls Study. Criminal Behaviour & Mental Health 12, 1–23.Google Scholar
Loeber, R., Wung, P., Keenan, K., Giroux, B., Stouthamer–Loeber, M., Van Kammen, W. B., & Maughan, B. (1993). Developmental pathways in disruptive child behavior. Development and Psychopathology 5, 103–133.Google Scholar
Luthar, S. S. (1995). Social competence in the school setting: Prospective cross-domain associations among inner-city teens. Child Development 66, 416–429.Google Scholar
Luthar, S. S. (1999). Poverty and children's adjustment. Newbury Park, CA: Sage.
Luthar, S. S. (2003a). The culture of affluence: Psychological costs of material wealth. Child Development 74, 1581–1593.Google Scholar
Luthar, S. S. (Ed.). (2003b). Resilience and vulnerability. Adaptation in the context of childhood adversities. New York: Cambridge University Press.
Luthar, S. S., & Becker, B. E. (2002). Privileged but pressured? A study of affluent youth. Child Development 73, 1593–1610.Google Scholar
Luthar, S. S., & Burack, J. A. (2000). Adolescent wellness: In the eye of the beholder? In D. Cicchetti, J. Rappaport, I. Sandler, & R. Weissberg (Eds.), The promotion of wellness in children and adolescents (pp. 29–57). Washington, DC: Child Welfare League of America.
Luthar, S. S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child Development 71, 543–562.Google Scholar
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.Google Scholar
Luthar, S. S., & Feldman, J. (1998). The Revised Class Play for Adolescents: A study of inner-city and suburban youth. Paper presented at the biennial meetings of the Society for Research on Child Development.
Luthar, S. S., & Latendresse, S. J. (2002). Adolescent risk: The costs of affluence. In G. Noam (Series Ed.) & C. S. Taylor, R. M. Lerner, & A. von Eye (Vol. Eds.), New directions for youth development: Theory, practice and research: Vol. 95. Pathways to positive development among diverse youth (pp. 101–121). San Francisco, CA: Jossey–Bass.
Luthar, S. S., & Latendresse, S. J. (2005). Children of the affluent: Challenges to well-being. Current Directions in Psychological Science 14, 49–53.Google Scholar
Luthar, S. S., & McMahon, T. J. (1996). Peer reputation among inner-city adolescents: Structure and correlates. Journal of Research on Adolescence 6, 581–603.Google Scholar
Luthar, S. S., & Sexton, C. (2004). The high price of affluence. Advances in Child Development 14, 49–53.Google Scholar
Lynam, D., Moffitt, T. E., & Stouthamer–Loeber, M. (1993). Explaining the relation between IQ and delinquency: Class, race, test motivation, school failure, or self-control. Journal of Abnormal Psychology 102, 187–196.Google Scholar
Macfie, J., Cicchetti, D., & Toth, S. L. (2001). The development of dissociation in maltreated preschool-aged children. Development and Psychopathology 13, 233–254.Google Scholar
Magnusson, D. (2000). The individual as the organizing principle in psychological inquiry: A holistic approach. In L. R. Bergman & R. B. Cairns (Eds.), Developmental science and the holistic approach (pp. 33–47). Mahwah, NJ: Erlbaum.
Magnusson, D., & Bergman, L. R. (1990). A pattern approach to the study of pathways from childhood to adulthood. In L. N. Robins & M. Rutter (Eds.), Straight and devious pathways from childhood to adulthood (pp. 101–115). New York: Cambridge University Press.
Major, B., Spencer, S., Schmader, T., Wolfe, C., & Crocker, J. (1998). Coping with negative stereotypes about intellectual performance: The role of psychological disengagement. Personality & Social Psychology Bulletin 24, 34–50.Google Scholar
Masten, A. S., Morison, P., & Pellegrini, D. S. (1985). The revised class play method of peer assessment. Developmental Psychology 21, 523–533.Google Scholar
Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review 100, 674–701.Google Scholar
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: Cambridge University Press.
Muthén, B., & Muthén, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical & Experimental Research 24, 882–891.Google Scholar
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.Google Scholar
Norman, O., Ault, C. R., Jr., Bentz, B., & Meskimen, L. (2001). The black–white “achievement gap” as a perennial challenge of urban science education: A sociocultural and historical overview with implications for research and practice. Journal of Research in Science Teaching 38, 1101–1114.Google Scholar
O'Donnell, J., Hawkins, J. D., & Abbott, R. D. (1995). Predicting serious delinquency and substance use among aggressive boys. Journal of Consulting and Clinical Psychology 63, 529–537.Google Scholar
Ogbu, J. U. (1991). Minority coping response and school experience. Journal of Psychohistory 18, 433–456.Google Scholar
Pedersen, W., Mastekaasa, A., & Wichstrom, L. (2001). Conduct problems and early cannabis initiation: A longitudinal study of gender differences. Addiction 96, 415–431.Google Scholar
Redmond, W. H. (1999). Trends in adolescent cigarette use: The diffusion of daily smoking. Journal of Behavioral Medicine 22, 379–395.Google Scholar
Richters, J. E., & Cicchetti, D. (1993). Mark Twain meets DSM-III-R: Conduct disorder, development, and the concept of harmful dysfunction. Development and Psychopathology 5, 5–29.Google Scholar
Rodkin, P. C., Farmer, T. W., Pearl, R., & Van Acker, R. (2000). Heterogeneity of popular boys: Antisocial and prosocial configurations. Developmental Psychology 36, 14–24.Google Scholar
Sameroff, A. J., & Fiese, B. H. (2000). Models of development and developmental risk. In C. H. Zeanah (Ed.), Handbook of infant mental health (2nd ed., pp. 3–19). New York: Guilford Press.
Shedler, J., & Block, J. (1990). Adolescent drug use and psychological health: A longitudinal inquiry. American Psychologist 45, 612–630.Google Scholar
Spencer, M. B., & Dornbusch, S. M. (1990). Challenges in studying minority youth. In S. S. Feldman & G. R. Elliott (Eds.), At the threshold: The developing adolescent (pp. 123–146). Cambridge, MA: Harvard University Press.
Spencer, M. B., Noll, E., Stoltzfus, J., & Harpalani, V. (2001). Identity and school adjustment: Revisiting the “acting White” assumption. Educational Psychologist 36, 21–30.Google Scholar
Sroufe, L. A., & Rutter, M. (1984). The domain of developmental psychopathology. Child Development 55, 17–29.Google Scholar
Stattin, H., & Magnusson, D. (1996). Antisocial development: A holistic approach. Development and Psychopathology 8, 617–645.Google Scholar
Stice, E., & Shaw, H. (2003). Prospective relations of body image, eating, and affective disturbances to smoking onset in adolescent girls: How Virginia slims. Journal of Consulting & Clinical Psychology 71, 129–135.Google Scholar
Stipek, D. (1997). Success in school-for a head start in life. In S. S Luthar, J. A. Burack, D. Cicchetti, & J. R. Weisz (Eds.), Developmental psychopathology: Perspectives on adjustment, risk, and disorder. New York: Cambridge University Press.
Swanson, D. P., Spencer, M. B., Harpalani, V., Dupree, D., Noll, E., Ginzburg, S., & Seaton, G. (2003). Psychosocial development in racially and ethnically diverse youth: Conceptual and methodological challenges in the 21st century. Development and Psychopathology 15, 743–771.Google Scholar
Tucker, C. M., & Herman, K. C. (2002). Using culturally sensitive theories and research to meet the academic needs of low-income African American children. American Psychologist 57, 762–773.Google Scholar
Tuma, J., & Geis, S. (1995 January). High school and beyond: 1992 Descriptive summary of 1980 high school sophomores 12 years later. Retrieved January 5, 2003, from the National Center for Education Statistics Web site http: //nces.ed.gov/pubsearch2/pubsinfo/95304.asp.
Turbin, M. S., Jessor, R., & Costa, F. M. (2000). Adolescent cigarette smoking: Health-related behavior or normative transgression? Prevention Science 1, 115–124.Google Scholar
von Eye, A., & Bergman, L. R. (2003). Research strategies in developmental psychopathology: Dimensional identity and the person-oriented approach. Development and Psychopathology 15, 553–580.Google Scholar
Weir, R. C., & Gjerde, P. F. (2002). Preschool personality prototypes: Internal coherence, cross-study replicability, and developmental outcomes in adolescence. Personality & Social Psychology Bulletin 28, 1229–1241.Google Scholar
White, H. R., Bates, M. E., & Labouvie, E. (1998). Adult outcomes of adolescent drug use: A comparison of process-oriented and incremental analyses. In R. Jessor (Ed.), New perspectives on adolescent risk behavior (pp. 150–181). New York: Cambridge University Press.
Windle, M., & Windle, R. C. (2001). Depressive symptoms and cigarette smoking among middle adolescents: Prospective associations and intrapersonal and interpersonal influences. Journal of Consulting & Clinical Psychology 69, 215–226.Google Scholar
Zucker, R. A., Fitzgerald, H. E., & Moses, H. D. (1995). Emergence of alcohol problems and the several alcoholisms: A developmental perspective on etiologic theory and life course trajectory. In D. Cicchetti & D. Cohen (Eds.), Developmental psychopathology: Vol. 2. Risk, disorder, and adaptation (pp. 677–711). New York: Wiley.