Skip to main content
Log in

Multitrait-multimethod model of adolescent deviance, drug use, academic, and sexual behaviors

  • Published:
Journal of Psychopathology and Behavioral Assessment Aims and scope Submit manuscript

Abstract

A multitrait-multimethod design was used to test Jessor and Jessor's (1977) problem behavior theory with a sample of adolescents, their parents, and peers. Behaviors included general deviance, drug use, low academic motivation, and precocious sexual behavior. While research has supported this theory, the reliance on self-report data for the majority of this work may threaten the validity of these findings. Results from hierarchical confirmatory factor analyses indicated that the convergent and discriminant validity of the seven behavior constructs was high and method effects were low. A two-factor second-order model, representing General Drug Use and Other Problem Behavior, accounted for a larger proportion of variance in the lower order factors compared to a single-factor model.

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.

Similar content being viewed by others

References

  • Achenbach, T. M., & Edelbrock, C. S. (1983).Manual for the Child Behavior Checklist and Revised Child Behavior Profile. Burlington: University of Vermont, Department of Psychiatry.

    Google Scholar 

  • Achenbach, T. M., & Edelbrock, C. S. (1987).Manual for the Youth Self-Report and Profile. Burlington: University of Vermont, Department of Psychiatry.

    Google Scholar 

  • Amemiya, Y., & Anderson, T. W. (1985).Asymptotic chi-square tests for a large class of factor analysis models (Technical Report No. 12). Stanford, CA: Stanford University.

    Google Scholar 

  • Andrews, J. A., Hops, H., Ary, D., Lichtenstein, E., & Tildesley, E. (1991). The construction, validation and use of a Guttman scale of adolescent substance use: An investigation of family relationships.Journal of Drug Issues, 21, 557–572.

    Google Scholar 

  • Andrews, J. A., Hops, H., Ary, D., Tildesley, E., & Harris, J. (1993). Parent influence on adolescent substance use: Specific and nonspecific effects.Journal of Early Adolescence, 13(3), 285–310.

    Google Scholar 

  • Andrews, J. A., Hops, H., Duncan, S. C., & Tildesley, E. (1995).Long-term consequences of level of substance use in early adolescence (manuscript submitted for publication).

  • Ary, D. V., Tildesley, E., Hops, H., & Andrews, J. (1993). The influence of parent, sibling and peer modeling and attitudes on adolescent use of alcohol.International Journal of the Addictions, 28(9), 853–880.

    PubMed  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, 59–69.

    Google Scholar 

  • Bank, L., Dishion, T., Skinner, M., & Patterson, G. R. (1990). Method variance in structural equation modeling: Living with “glop”. In G. R. Patterson (Ed.),Depression and aggression in family interaction (pp. 247–279). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Bentler, P. M. (1989).EQS: Structural equations program manual. Los Angeles: BMDP Statistical Software.

    Google Scholar 

  • Bentler, P. M. (1990). Comparative fit indexes in structural models.Psychological Bulletin, 107, 238–246.

    Article  PubMed  Google Scholar 

  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures.Psychological Bulletin, 88, 588–606.

    Article  Google Scholar 

  • Bentler, P. M., & Eichberg, R. H. (1975). A social psychological approach to substance abuse construct validity: Prediction of adolescent drug use from independent sources. In D. J. Lettieri (Ed.),Predicting adolescent drug abuse (pp. 131–145). Rockville, MD: National Institute on Drug Abuse.

    Google Scholar 

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

    Google Scholar 

  • Byrne, B. M. (1989). Multigroup comparisons and the assumption of equivalent construct validity across groups: Methodological and substantive issues.Multivariate Behavioral Research, 24(4), 503–523.

    Google Scholar 

  • Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix.Psychological Bulletin, 56, 81–105.

    PubMed  Google Scholar 

  • Chassin, L., Presson, C. C., Sherman, S. J., Corty, E., & Olshavsky, R. W. (1984). Predicting the onset of cigarette smoking in adolescents: A longitudinal study.Journal of Applied Social Psychology, 14, 224–243.

    Google Scholar 

  • Chou, C. P., & Bentler, P. M. (1990). Model modification in covariance structure modeling: A comparison among likelihood ratio, Lagrange multiplier, and Wald tests.Multivariate Behavioral Research, 25, 115–136.

    Google Scholar 

  • Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests.Psychometrika, 6, 297–334.

    Google Scholar 

  • Dishion, T. J., Reid, J. B., & Patterson, G. R. (1988). Empirical guidelines for a family intervention for adolescent drug use.Journal of Chemical Dependency Treatment, 1, 189–214.

    Article  Google Scholar 

  • Donovan, J. E., & Jessor, R. (1985). Structure of problem behavior in adolescence and young adulthood.Journal of Consulting and Clinical Psychology, 53, 890–904.

    Article  PubMed  Google Scholar 

  • Donovan, J. E., Jessor, R., & Costa, F. M. (1988). Syndrome of problem behavior in adolescence: A replication.Journal of Consulting and Clinical Psychology, 56, 762–765.

    Article  PubMed  Google Scholar 

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

    Google Scholar 

  • Elliott, D. S., Huizinga, D., & Menard, S. (1989).Multiple problem youth: Delinquency, substance use, and mental health problems. New York: Springer-Verlag.

    Google Scholar 

  • Farrell, A. D., Danish, S. J., & Howard, C. W. (1992). Relationship between drug use and other problem behaviors in urban adolescents.Journal of Consulting and Clinical Psychology, 60, 705–712.

    Article  PubMed  Google Scholar 

  • Fergusson, D. M., Horwood, L. J., & Lynskey, M. D. (1994). The comorbidities of adolescent problem behaviors: A latent class model.Journal of Abnormal Child Psychology, 22(3), 339–354.

    Article  PubMed  Google Scholar 

  • Gilmore, M. R., Hawkins, J. D., Catalano, R. F., Day, L. E., & Moore, M. (1991). Structure of problem behaviors in preadolescence.Journal of Consulting and Clinical Psychology, 59, 499–506.

    Article  PubMed  Google Scholar 

  • Halprin, Inc. (1988).Drugs Used by Oregon Public School Students (preliminary report). Salem, OR.

  • Hawkins, J. D., Lishner, D. M., Catalano, R. F., & Howard, M. O. (1986). Childhood predictors and the prevention of adolescent substance abuse: Toward an empirically grounded theory.Journal of Children in Contemporary Society, 18, 11–48.

    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.

    Article  PubMed  Google Scholar 

  • Hops, H. (1992). Parental depression and child behavior problems: Implications for behavioural family intervention.Behavior Change, 9, 126–138.

    Google Scholar 

  • Hops, H., Tildesley, E., Lichtenstein, E., Ary, D., & Sherman, L. (1990). Parent-adolescent problem-solving interactions and drug use.American Journal of Drug and Alcohol Abuse, 16, 239–258.

    PubMed  Google Scholar 

  • Huba, G. J., & Harlow, L. L. (1986). Robust estimation for causal models: A comparison of methods in some developmental data sets. In P. B. Baltes, D. L. Featherman, & R. M. Lerner (Eds.),Life-span development and behavior (Vol. 7) (pp. 69–111). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

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

    Google Scholar 

  • Joreskog, K. G. (1971). Simultaneous factor analysis in several populations.Psychometrika, 57, 409–426.

    Google Scholar 

  • Kandel, D., & Faust, R. (1975). Sequence and stages in patterns of adolescent drug use.Archives of General Psychiatry, 32, 923–932.

    PubMed  Google Scholar 

  • Kavanagh, K., & Hops, H. (1994). Good girls? Good boys? Gender and development as contexts for diagnosis and treatment. In T. H. Ollendick & R. J. Prinz (Eds.),Advances in Clinical Child Psychology (Vol. 16) (pp. 45–79). New York: Plenum Press.

    Google Scholar 

  • Kumar, A., & Dillon, W. R. (1990). On the use of confirmatory measurement models in the analysis of multiple-informant reports.Journal of Marketing Research, 27, 102–111.

    Google Scholar 

  • Labouvie, E. W., & McGee, C. R. (1986). Relation of personality to alcohol and drug use in adolescence.Journal of Consulting and Clinical Psychology, 54, 289–293.

    Article  PubMed  Google Scholar 

  • Langhinrichsen, J., Lichtenstein, E., Seeley, J. R., Hops, H., Ary, D. V., Tildesley, E., & Andrews, J. (1990). Parent-adolescent congruence for adolescent substance use.Journal of Youth and Adolescence, 19, 623–635.

    Article  Google Scholar 

  • Loeber, R. (1988). Natural histories of conduct problems, delinquency, and associated substance abuse: Evidence for developmental progressions. In B. B. Lahey & A. E. Kazdin (Eds.),Advances in Clinical Child Psychology (Vol. 11) (pp. 73–124). New York: Plenum.

    Google Scholar 

  • Marsh, H. W., & Bailey, M. (1991). Confirmatory factor analyses of multitrait-multimethod data: A comparison of alternative models.Applied Psychological Measurement, 15, 47–70.

    Google Scholar 

  • Marsh, H. W., & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First- and higher-order factor models and their invariance across groups.Psychological Bulletin, 97, 562–582.

    Article  Google Scholar 

  • McGee, L., & Newcomb, M. D. (1992). General deviance syndrome: Expanded hierarchical evaluations at four ages from early adolescence to adulthood.Journal of Consulting and Clinical Psychology, 60, 766–776.

    Article  PubMed  Google Scholar 

  • Metzler, C. W., Biglan, A., Ary, D., Noell, J., Brozovsky, P., Ochs, L., Hood, D., & Plunkett, A. (1993).The relationships among adolescent problem behaviors (manuscript submitted for publication).

  • Murray, D. M., O'Connell, C. M., Schmid, L. A., & Perry, C. L. (1987). The validity of smoking self-reports by adolescents: A reexamination of the bogus pipeline procedure.Addictive Behaviors, 12, 7–15.

    Article  PubMed  Google Scholar 

  • Nam, C. B., & Terrie, E. W. (1988).1980-based Nam-Powers occupational status scores. Working Paper Series 88-48. Tallahassee: Center for the Study of Population, Florida State University.

    Google Scholar 

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

    Google Scholar 

  • Osgood, D. W., Johnston, L. D., O'Malley, P. M., & Bachman, J. G. (1988). The generality of deviance in late adolescence and early adulthood.American Sociology Review, 53, 81–93.

    Google Scholar 

  • Patterson, G. R., Reid, J. B., & Dishion, T. J. (1992).A social interactional approach: Vol. 4. Antisocial boys. Eugene, OR: Castalia.

    Google Scholar 

  • Robins, L. N., & Pryzbeck, T. R. (1985). Age of onset of drug use as a factor in drug and other disorders. In C. L. Jones & R. J. Battjes (Eds.),Etiology of drug abuse: Implications for prevention (pp. 178–192). Rockville, MD: National Institute on Drug Abuse.

    Google Scholar 

  • Schmitt, N., & Stults, D. M. (1986). Methodology review: Analysis of multitrait-multimethod matrices.Applied Psychological Measurement, 10, 1–22.

    Google Scholar 

  • Stacy, A. W., Widaman, K. F., Hays, R., & DiMatteo, M. R. (1985). Validity of self-reports of alcohol and other drug use: A multitrait-multimethod assessment.Journal of Personality and Social Psychology, 49, 219–232.

    Article  PubMed  Google Scholar 

  • Tanaka, J. S., & Bentler, P. M. (1985). Quasi-likelihood estimation in asymptotically efficient covariance structure models.American Statistical Association: 1984 Proceedings of the Social Statistics Section (pp. 658–662).

  • Van Kammen, W. B., Loeber, R., & Stouthamer-Loeber, M. (1991). Substance use and its relationship to conduct problems and delinquency in young boys.Journal of Youth and Adolescence, 20, 399–413.

    Article  Google Scholar 

  • Vingilis, E., & Adlaf, E. (1990). The structure of problem behavior among Ontario high school students: A confirmatory-factor analysis.Health Education Research, 5, 151–160.

    Google Scholar 

  • Widaman, K. F. (1985). Hierarchically nested covariance structure models for multitrait-multimethod data.Applied Psychological Measurement, 9, 1–26.

    Google Scholar 

  • Windle, M. (1990). A longitudinal study of antisocial behaviors in early adolescence as predictors of late adolescent substance use: Gender and ethnic group differences.Journal of Abnormal Psychology, 99, 86–91.

    Article  PubMed  Google Scholar 

  • Zabin, L. S. (1984). The association between smoking and sexual behavior among teens in U.S. contraceptive clinics.American Journal of Public Health, 74, 261–263.

    PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

This research was supported by Grant DA 03706 from the National Institute on Drug Abuse.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tildesley, E.A., Hops, H., Ary, D. et al. Multitrait-multimethod model of adolescent deviance, drug use, academic, and sexual behaviors. J Psychopathol Behav Assess 17, 185–215 (1995). https://doi.org/10.1007/BF02229018

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02229018

Key words

Navigation