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Understanding the Links Among School Misbehavior, Academic Achievement, and Cigarette Use: A National Panel Study of Adolescents

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Abstract

Relations among academic achievement, school bonding, school misbehavior, and cigarette use from 8th to 12th grade were examined in two national panel samples of youth (n = 3056). A series of competing conceptual models developed a priori was tested using structural equation modeling (SEM). The findings suggest that during middle adolescence the predominant direction of influence is from school experiences to cigarette use. School misbehavior and low academic achievement contribute to increased cigarette use over time both directly and indirectly. Two-group SEM analyses involving two cohorts—gender and ethnicity—revealed that our findings are robust. In addition, comparisons between high school dropouts and nondropouts and between eighth-grade cigarette use initiators and nonusers revealed few differences in direction or magnitude of effects. Results suggest that prevention programs that attempt to reduce school misbehavior and academic failure, as well as to help students who misbehave and have difficulty in school constructively avoid negative school- and health-related outcomes, are likely to be effective in reducing adolescent cigarette use.

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REFERENCES

  • Allred, C. G. (1995). Positive action for living.Twin Falls, ID: The Positive Action Company.

    Google Scholar 

  • Bachman, J. G., Johnston, L. D., & O'Malley, P. M. (1996). The Monitoring the Future project after twenty-two years: Design and procedures.(Monitoring the Future Occasional Paper No. 38.) Ann Arbor: Institute for Social Research, The University of Michigan.

    Google Scholar 

  • Bachman, J. G., Johnston, L. D., & O'Malley, P. M. (1981). Smoking, drinking, and drug use among American high school students: Correlates and trends, 1975–1979.American Journal of Public Health, 71(1), 59–69.

    Google Scholar 

  • Bachman, J. G., O'Malley, P. M., & Johnston, J. (1978). Adolescence to adulthood: Change and stability in the lives of young men. Youth in Transition, Volume VI.Ann Arbor: Institute for Social Research, The University of Michigan.

    Google Scholar 

  • Bailey, S. L., & Hubbard, R. L. (1990). Developmental variation in the context of marijuana initiation among adolescents.Journal of Health and Social Behavior, 31, 58–70.

    Google Scholar 

  • Barrington, B. L., & Hendricks, B. (1989). Differentiating characteristics of high school graduates, dropouts, and nongraduates.Journal of Educational Research, 82(6), 309–319.

    Google Scholar 

  • Bell, A. J., Rosén, L. A., & Dynlacht, D. (1994). Truancy intervention.The Journal of Research and Development in Education, 27(3), 203–211.

    Google Scholar 

  • Berndt, T. J., & Mekos, D. (1995). Adolescents' perceptions of the stressful and desirable aspects of the transition to junior high school.Journal of Research on Adolescence, 5, 123–142.

    Google Scholar 

  • Bollen, K. A. (1989). Structural equations with latent variables.New York: John Wiley & Sons.

    Google Scholar 

  • Brunswick, A. F., & Messeri, P. A. (1984). Origins of cigarette smoking in academic achievement, stress and social expectations: Does gender make a difference? Journal of Early Adolescence, 4, 353–370.

    Google Scholar 

  • Bryant, A. L. (1999). Social and motivational influences on adolescent substance use and academic outcomes: Integrating theories of deviance and motivation.Manuscript submitted for publication.

  • Bryant, A. L., Schulenberg, J., Bachman, J. G., O'Malley, P. M., & Johnston, L. D. (2000). Acting out and lighting up: Understanding the links among school misbehavior, academic achievement, and cigarette use during adolescence (Monitoring the Future Occasional Paper No. 46). Ann Arbor: Institute for Social Research, The University of Michigan.

    Google Scholar 

  • Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models: Applications and data analysis methods.Newbury Park, CA: Sage.

    Google Scholar 

  • Cairns, R. B., Cairns, B. D., & Neckerman, H. J. (1989). Early school dropout: Configurations and determinants.Child Development, 60, 1437–1452.

    Google Scholar 

  • Clausen, J. S. (1991). Adolescent competence and the shaping of the life course.American Journal of Sociology, 96(4), 805–842.

    Google Scholar 

  • Crockett, L., Schulenberg, J. E., & Petersen, A. C. (1987). Congruence between objective and self-report data in a sample of young adolescents.Journal of Adolescent Research, 2, 383–392.

    Google Scholar 

  • Diem, E. C., McKay, L. C., & Jamieson, J. L. (1994). Female adolescent alcohol, cigarette, and marijuana use: Similarities and differences in patterns of use.The International Journal of the Addictions, 29(8), 987–997.

    Google Scholar 

  • Dryfoos, J. G. (1990). Adolescents at risk: Prevalence and prevention.New York: Oxford University Press.

    Google Scholar 

  • Duncan, T. E., Duncan, S. C., Alpert, A., Hops, H., Stoolmiller, M., & Muthén, B. (1997). Latent variable modeling of longitudinal and multilevel substance use data.Multivariate Behavioral Research, 32(3), 275–318.

    Google Scholar 

  • Eccles, J. S., & Midgley, C. (1989). Stage/environment fit: Developmentally appropriate classrooms for early adolescents.In R. E. Ames, & C. Ames (Eds.), Research on motivation in education (Vol. 3). New York: Academic Press.

    Google Scholar 

  • Finn, J. D. (1989). Withdrawing from school.Review of Educational Research, 59(2), 117–142.

    Google Scholar 

  • Free, M. D. (1993). Stages of drug use: A social control perspective.Youth and Society, 25, 251–271.

    Google Scholar 

  • Friedman, A. S., Glickman, N., & Utada, A. (1985). Does drug and alcohol use lead to failure to graduate from high school? Journal of Drug Education, 15(4), 353–364.

    Google Scholar 

  • Galambos, N. L., & Silbereisen, R. K. (1987). Substance use in West German youth: A longitudinal study of adolescents' use of alcohol and tobacco.Journal of Adolescent Research, 2(2), 161–174.

    Google Scholar 

  • Garnier, H. E., Stein, J. A., & Jacobs, J. K. (1997). The process of dropping out of high school: A 19-year perspective.American Educational Research Journal, 34, 395–419.

    Google Scholar 

  • Gold, M., & Mann, D. W. (1982). Alternative schools for troublesome secondary students.The Urban Review, 14, 305–316.

    Google Scholar 

  • Gottfredson, D. C., Gottfredson, G. D., & Skroban, S. (1996). A multimodel school-based prevention demonstration.Journal of Adolescent Research, 11(1), 97–115.

    Google Scholar 

  • Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992). Risk and protective factors for alcohol use and other drug problems in adolescence and early adulthood: Implications for substance use prevention.Psychological Bulletin, 112, 64–105.

    Google Scholar 

  • Hawkins, J. D., Graham, J. W., Maguin, E., Abbott, R., Hill, K. G., & Catalano, R. F. (1997). Exploring the effects of age of alcohol use initiation and psychosocial risk factors on subsequent alcohol misuse.Journal of Studies on Alcohol, 58(3), 280–290.

    Google Scholar 

  • Hawkins, J. D., & Weis, J. G. (1985). The social development model: An integrated approach to delinquency prevention.Journal of Primary Prevention, 6(2), 73–97.

    Google Scholar 

  • Hayduk, L. A. (1987). Structural equation modeling with LISREL.Baltimore, MD: The Johns Hopkins University Press.

    Google Scholar 

  • Hibbett, A., & Fogelman, K. (1990). Future lives of truants: Family formation and health-related behavior.British Journal of Educational Psychology, 60, 171–179.

    Google Scholar 

  • Hinshaw, S. P. (1992). Externalizing behavior problems and academic underachievement in childhood and adolescence: Causal relationships and underlying mechanisms.Psychological Bulletin, 111(1), 127–155.

    Google Scholar 

  • Hirschi, T. (1969). Causes of delinquency.Berkeley: University of California Press.

    Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.Structural Equation Modeling, 6, 1–55.

    Google Scholar 

  • Hundleby, J. D., Carpenter, R. A., Ross, R. A. J., & Mercer, G. W. (1982). Adolescent drug use and other behaviors.Journal of Child Psychology & Psychiatry and Allied Disciplines, 23(1), 61–68.

    Google Scholar 

  • Ianni, F. A. J., & Orr, M. T. (1996). Dropping out.In J. A. Graber, J. Brooks-Gunn, & A. C. Peterson (Eds.), Transitions through adolescence (pp. 285–321). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Jaccard, J., & Wan, C. K. (1996). LISREL approaches to interaction effects in multiple regression.Thousand Oaks, CA: Sage.

    Google Scholar 

  • Jenkins, P. H. (1995). School delinquency and school commitment.Sociology of Education, 68, 221–239.

    Google Scholar 

  • Jessor, R., & Jessor, S. L. (1977). Problem behavior and psychosocial development: A longitudinal study of youth.New York: Academic Press.

    Google Scholar 

  • Johnston, L. D., O'Malley, P. M., & Bachman, J. G. (1998). National survey results on drug use from the Monitoring the Future study, 1975–1997, Vol 1.Rockville, MD: National Institute on Drug Abuse.

    Google Scholar 

  • Johnston, L. D., O'Malley, P. M., Schulenberg, J., & Bachman, J. G. (1996). Aims and objectives of the Monitoring the Future study (2nd revised edition) (Monitoring the Future Occasional Paper No. 34). Ann Arbor: Institute for Social Research, The University of Michigan.

    Google Scholar 

  • Jöreskog, K., & Sörbom, D. (1996). LISREL 8: User's Reference Guide.Chicago: Scientific Software International.School Factors and Cigarette Use

    Google Scholar 

  • Kandel, D. B., Kessler, R. C., & Margulies, R. Z. (1978). Antecedents of adolescent initiation into stages of drug use: A developmental analysis.Journal of Youth and Adolescence, 7(1), 13–40.

    Google Scholar 

  • Kandel, D. B., Yamaguchi, K., & Chen, K. (1992). Stages of progression in drug involvement from adolescence to adulthood: Further evidence for the gateway theory.Journal of Studies on Alcohol, 53(5), 447–457.

    Google Scholar 

  • Kellam, S.G., & Anthony, J. C. (1998). Targeting early antecedents to prevent tobacco smoking: Findings from an epidemiologically based randomized field trial.American Journal of Public Health, 88(10), 1490–1495.

    Google Scholar 

  • Lambert, N. M. (1988). Adolescent outcomes for hyperactive children: Perspectives on general and specific patterns of childhood risk for adolescent educational, social, and mental health problems.American Psychologist, 43(10), 786–799.

    Google Scholar 

  • Magnusson, D. (1998). The logic and implications of person-oriented approach.In R. B. Cairns, L. R. Bergman, & J. Kagan (Eds.), Methods and models for studying the individual (pp. 33–64). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Masten, A. S. (1994). Resilience in individual development: Successful adaptation despite risk and adversity.In M. C. Wang, & E. W. Gordon (Eds.), Educational resilience in inner-city America (pp. 3–25). Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Masten, A. S., & Coatsworth, J. D. (1998). The development of competence in favorable and unfavorable environments: Lessons from research on successful children.American Psychologist, 53(2), 205–220.

    Google Scholar 

  • McCall, R. B., Evahn, C., & Kratzer, L. (1992). High school underachievers.Newbury Park, CA: Sage.

    Google Scholar 

  • Mensch B. S., & Kandel, D. B. (1988). Dropping out of high school and drug involvement.Sociology of Education, 61, 95–113.

    Google Scholar 

  • Meyers, J. (1989). The practice of psychology in the schools for the primary prevention of learning and adjustment problems in children: A perspective from the field of education.In L. A. Bond, & B. E. Compas (Eds.), Primary prevention and promotion in schools (pp. 391–422). Newbury Park, CA: Sage.

    Google Scholar 

  • Mulaik, S. A., James, L. R., Van Alstine, J., Bennet, N., Lind, S., & Stilwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models.Psychological Bulletin, 105(3), 430–445.

    Google Scholar 

  • Muthén, B. (in press). Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class/latent growth modeling. In A. Sayer, & L. Collins (Eds.), New methods for the analysis of change. Washington, DC: American Psychological Association.

  • National Center for Education Statistics. (1991). Teacher survey on safe, disciplined, and drug-free schools (Report No. NCES 91-091). Rockville, MD: U.S. Department of Education.

    Google Scholar 

  • National Center for Education Statistics. (1996). The condition of education: 1996 (Report No. NCES 96-304). Rockville, MD: U.S. Department of Education.

    Google Scholar 

  • Newcomb, M. D., & Bentler, P. M. (1988). Consequences of adolescent drug use: Impact on the lives of young adults.Newbury Park, CA: Sage.

    Google Scholar 

  • Newcomb, M. D., & Bentler, P. M. (1986). Drug use, educational aspirations, and work force involvement: The transition from adolescence to young adulthood.American Journal of Community Psychology, 14, 303–321.

    Google Scholar 

  • O'Malley, P. M., Bachman, J. G., & Johnston, L. D. (1983). Reliability and consistency in self-reports of drug use.The International Journal of the Addictions, 18(6), 805–824.

    Google Scholar 

  • Paulson, M. J., Coombs, R. H., & Richardson, M. A. (1990). School performance, academic aspirations, and drug use among children and adolescents.Journal of Drug Education, 20(4), 289–303.

    Google Scholar 

  • Pestello, F. G. (1989). Misbehavior in high school classrooms.Youth and Society, 20, 290–306.

    Google Scholar 

  • Petraitis, J., Flay, B. R., & Miller, T. Q. (1995). Reviewing theories of adolescent substance use: Organizing pieces of the puzzle.Psychological Bulletin, 117(1), 67–86.

    Google Scholar 

  • Pintrich, P. R., & Schunk, D. H. (1996). Motivation in education.Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Pritchard, C., Cotton, A., & Cox, M. (1992). Truancy and illegal drug use, and knowledge of HIV infection in 932 14–16-year old adolescents.Journal of Adolescence, 15, 1–17.

    Google Scholar 

  • Rumberger, R. W. (1995). Dropping out of middle school:Amultilevel analysis of students and schools.American Educational Research Journal, 32(3), 583–625.

    Google Scholar 

  • 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.

    Google Scholar 

  • Schulenberg, J., Maggs, J. L., & Hurrelmann, K. (1997). Negotiating developmental transitions during adolescence and young adulthood: Health risks and opportunities.In J. Schulenberg, J. L. Maggs, & K. Hurrelmann (Eds.), Health risks and developmental transitions during adolescence (pp. 1–22). Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Schulenberg, J., O'Malley, P. M., Bachman, J. G., Wadsworth, K. N., & Johnston, L. D. (1996). Getting drunk and growing up: Trajectories of frequent binge drinking during the transition to adulthood.Journal of Studies on Alcohol, 57, 289–304.

    Google Scholar 

  • Shannon, D. M., James, F. R., & Gansneder, B. M. (1993). The identification of adolescent substance misuse using schoolreported factors.The High School Journal, 76(2), 118–128.

    Google Scholar 

  • Simmons, R. G., & Blyth, D. A. (1987). Moving into adolescence: The impact of pubertal change and school context.New York: Aldine de Gruyter.

    Google Scholar 

  • Smith, G. M., & Fogg, C. P. (1978). Psychological predictors of early use, late use, and nonuse of marijuana among teenage students.In D. B. Kandel (Ed.), Longitudinal research on drug use: Empirical findings and methodological issues (pp. 101–113). New York: John Wiley & Sons.

    Google Scholar 

  • Sommer, B. (1985). Truancy in early adolescence.Journal of Early Adolescence, 5(2), 145–160.

    Google Scholar 

  • Swaim, R. C. (1991). Childhood risk factors and adolescent drug and alcohol abuse.Educational Psychology Review, 3(4), 363–398.

    Google Scholar 

  • Wagner, B. M., & Compas, B. E. (1990). Gender, instrumentality, and expressivity: Moderators of the relation between stress and psychological symptoms during adolescence.American Journal of Community Psychology, 18(3), 383–406.

    Google Scholar 

  • Welte, J. W., & Barnes, G. M. (1987). Youthful smoking: Patterns and relationships to alcohol and other drug use.Journal of Adolescence, 10, 327–340.

    Google Scholar 

  • White, H. R., Pandina, R. J., & LaGrange, R. L. (1987). Longitudinal predictors of serious substance use and delinquency.Criminology, 25, 715–740.

    Google Scholar 

  • Zimiles, H., & Lee, V. E. (1991). Adolescent family structure and educational progress.Developmental Psychology, 27(2), 314–320.

    Google Scholar 

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Authors and Affiliations

  1. Institute for Social Research, University of Michigan, Ann Arbor, Michigan

    Alison L. Bryant, John Schulenberg, Jerald G. Bachman, Patrick M. O'Malley & Lloyd D. Johnston

  2. Combined Program in Education and Psychology, University of Michigan, USA

    Alison L. Bryant

  3. Department of Psychology, University of Michigan, USA

    John Schulenberg

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  1. Alison L. Bryant
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Bryant, A.L., Schulenberg, J., Bachman, J.G. et al. Understanding the Links Among School Misbehavior, Academic Achievement, and Cigarette Use: A National Panel Study of Adolescents. Prev Sci 1, 71–87 (2000). https://doi.org/10.1023/A:1010038130788

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