Contributions of the social context to the development of adolescent substance use: A multivariate latent growth modeling approach

Drug and Alcohol Dependence

Volumn 50, Issue 1, 1998, Pages 57-71

  Duncan, Susan C ^a   Duncan, Terry E ^a   Biglan, Anthony ^a   Ary, Dennis ^a  

^a OREGON RESEARCH INSTITUTE   (United States)

Author keywords

Adolescence; Development; Latent growth modeling; Substance use

Indexed keywords

ALCOHOL; CANNABIS;

ACADEMIC ACHIEVEMENT; ADOLESCENT; AGE; ALCOHOL CONSUMPTION; BODY GROWTH; CHILD PARENT RELATION; CIGARETTE SMOKING; FEMALE; GENDER; HUMAN; MAJOR CLINICAL STUDY; MALE; MULTIVARIATE ANALYSIS; PRIORITY JOURNAL; REVIEW; STATISTICAL MODEL; SUBSTANCE ABUSE;

CANNABIS; CANNABIS SATIVA;

EID: 0032033333     PISSN: 03768716     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0376-8716(98)00006-4     Document Type: Article

References (78)

1. Akaike H. A new look at the statistical model identification. IEEE Trans. Auto. Con. 19:1974;716-723.
2. Bachman J.G., Johnston L.D., O'Malley P.M. Smoking, drinking, and drug use among American high school students: Correlates and trends, 1975-1979. Am. J. Public Health. 71:1981;59-69.
3. Bentler, P.M., 1989. EQS: Structural equations program manual, BMDP Statistical Software, Los Angeles.
4. Bentler, P.M., 1995. EQS Structural Equations Program Manual. Multivariate Software, Inc., Encino, CA.
5. Biglan A., Metzler C.W., Wirt R., Ary D., Noell J., Ochs L., French C., Hood D. Social and behavioral factors associated with high-risk sexual behavior among adolescents. J. Behav. Med. 13:1990;245-261.
6. Bogzodogan H. Model selection and Akaike's information criteria (AIC): The general theory and its analytical extensions. Psychometrika. 52:1987;345-370.
7. Bryk A.S., Raudenbush S.W. Application of hierarchical linear models to assessing change. Psychol. Bull. 101:1987;147-158.
8. Bryk, A.S., Raudenbush, S.W., 1992. Hierarchical linear models in social and behavioral research: Applications and data analysis methods, Sage Publications, Newbury Park, CA.
9. Burchinal M., Appelbaum M.I. Estimating individual developmental functions: Methods and their assumptions. Child Dev. 62:1991;23-43.
10. Capaldi, D.M., Patterson, G.R., 1989. Psychometric properties of fourteen latent constructs from the Oregon Youth Study, Springer-Verlag, New York.
11. Cronbach L.J. Coefficient alpha and the internal structure of tests. Psychometrika. 16:1951;297-334.
12. Dempster A.P., Laird N.M., Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. R. Stat. Soc. B39:1977;1-38.
13. Dishion T.J., Duncan T.E., Eddy M., Fagot B., Fetrow R. The world of parent and peers: Coercive exchanges and children's social adaptation. Soc. Dev. 3:1994;255-268.
14. Dishion T.J., Loeber R., Stouthamer-Loeber M., Patterson G.R. Skill deficits and male adolescent delinquency. J. Abnorm. Child Psychol. 12:1984;37-54.
15. Dishion, T.J., Patterson, G.R., Reid, J.B., 1988. Parent and peer factors associated with early adolescent drug use: Implications for treatment. In: Rahdert, E., Grabowski, J. (Eds.), Adolescent drug abuse: Analyses of treatment research, NIDA Research Monograph 77, US Government Printing Office, Washington D.C., pp. 69-93.
16. Dishion, T.J., Ray, J., 1991, November. The development and ecology of substance use in adolescent boys. Paper presented at the annual meeting of the American Association of Psychology, San Francisco.
17. Donovan J.E., Jessor R. Structure of problem behavior in adolescence and young adulthood. J. Consult. Clin. Psychol. 53:1985;890-904.
18. Duncan S.C., Duncan T.E. Modeling incomplete longitudinal substance use data using latent variable growth curve methodology. Multivariate Behav. Res. 29:1994;313-338.
19. Duncan S.C., Duncan T.E. A multivariate latent growth curve analysis of adolescent substance use. Structural Equation Modeling. 3:1996;323-347.
20. Duncan T.E., Duncan S.C. Modeling the processes of development via latent variable growth curve methodology. Structural Equation Modeling. 2:1995;187-213.
21. Duncan T.E., Duncan S.C., Hops H. The effects of family cohesiveness and peer encouragement on the development of adolescent alcohol use: A cohort-sequential approach to the analysis of longitudinal data. J. Stud. Alcohol. 55:1994;588-599.
22. Duncan T.E., Duncan S.C., Hops H., Stoolmiller M. An analysis of the relationship between parent and adolescent marijuana use via Generalized Estimating Equation Methodology. Multivariate Behav. Res. 30:1995;317-339.
23. Duncan T.E., Tildesley E., Duncan S.C., Hops H. The consistency of family and peer influences on the development of substance use in adolescence. Addiction. 90:1995;1647-1660.
24. Elliott, D.S., Huizinga, D., Ageton, S.S., 1985. Explaining delinquency and drug use, Sage, Beverly Hills, CA.
25. Graham, J.W., Hofer, S.M., MacKinnon, D.P. (in press). Maximizing the usefulness of data obtained with planned missing value patterns: An application of maximum likelihood procedures. Multivariate Behavioral Research, in press.
26. Graham, J.W., Hofer, S.M., Donaldson, S.I., MacKinnon, D.P., Schafer, J.L., 1996. Analysis with missing data in prevention research. Unpublished manuscript.
27. Hansen W.B., Graham J.W., Sobel J.L., Shelton D.R., Flay B.R., Johnson C.A. The consistency of peer and parent influences on tobacco, alcohol, and marijuana use among young adolescents. J. Behav. Med. 10:1987;559-579.
28. Hawkins J., Catalano R., Miller J. Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychol. Bull. 112:1992;64-105.
29. Hops H., Tildesley E., Lichtenstein E., Ary D., Sherman L. Parent-adolescent problem-solving interactions and drug use. Am. J. Drug Alcohol Abuse. 16:1990;239-258.
30. Horn J.L., McArdle J.J., Mason R. When is invariance not invariant: A practical scientist's look at the ethereal concept of factor invariance. The South. Psychologist. 1:1983;179-188.
31. Huba G.J., Wingard J.A., Bentler P.M. A comparison of two latent variable causal models for adolescent drug use. J. Pers. Soc. Psychol. 40:1981;180-193.
32. Hui S.L., Berger J.O. Empirical bayes estimation of rates in longitudinal studies. J. Am. Stat. Assoc. 78:1983;753-760.
33. Jessor R. Problem-behavior theory, psychosocial development, and adolescent problem drinking. Br. J. Addiction. 82:1987;331-342.
34. Jessor R. Risky driving and adolescent problem behavior: An extension of problem-behavior theory. Alcohol, Drugs, Driving. 3(3-4):1987;1-11.
35. Jessor, R., Jessor, S.L., 1977. Problem behavior and psychosocial development, Academic Press, New York.
36. Joreskog, K.G., Sorbom, D., 1988. LISREL VII. A guide to the program and applications. SPSS Inc, Chicago.
37. Kandel D.B. On processes of peer influences in adolescent drug use: A developmental perspective. Adv. Alcohol Subst. Abuse. 4:1985;139-163.
38. Kandel D.B., Kessler R.C., Margulies R.Z. Antecedents of adolescent initiation into stages of drug use: A developmental analysis. J. Youth Adoles. 7(1):1978;13-40.
39. Kellam S., Werthamer-Larsson L., Dolan L., Brown C., Mayer L., Rebok G., Anthony J., Laudolff J., Edelsohn G., Wheeler L. Developmental epidemiology based preventive trials: Baseline modeling of early target behaviors and depressive symptoms. Am. J. Commun. Psychol. 19:1991;563-584.
40. Kleinbaum D.G. A generalization of the growth curve model which allows missing data. J. Multivariate Anal. 3:1973;116-124.
41. Little, R.J.A., Rubin, D.B., 1987. Statistical analysis with missing data, Wiley, New York.
42. Little R.J.A., Rubin D.B. The analysis of social science data with missing data. Sociological Methods Res. 18:1989;292-326.
43. Marsh H. The structure of masculinity/femininity: An application of confirmatory factor analysis to higher-order factor structures and factorial invariance. Multivariate Behav. Res. 20:1985;427-449.
44. McArdle, J.J., 1988. Dynamic but structural equation modeling of repeated measures data. In: Cattel, R.B., Nesselroade, J. (Eds.), Handbook of multivariate experimental psychology (2nd ed.), Plenum Press, New York, pp. 561-614.
45. McArdle J.J., Epstein D. Latent growth curves within developmental structural equation models. Child Dev. 58:1987;110-133.
46. McArdle, J.J., Hamagami, F., 1991. Modeling incomplete longitudinal and cross-sectional data using latent growth structural models. In: Collins, L.M., Horn, J.C. (Eds.), Best methods for the analysis of change. American Psychological Association, Washington D.C., pp. 276-304.
47. Meredith W., Tisak J. Canonical analysis of longitudinal and repeated measures data with stationary weights. Psychometrika. 47:1982;47-67.
48. Meredith W., Tisak J. Latent curve analysis. Psychometrika. 55:1990;107-122.
49. Metzler C.W., Noell J., Biglan A., Ary D., Smolkowski K. The social context for risky sexual behavior among adolescents. J. Behav. Med. 17:1994;419-438.
50. Moos, R., 1974. Family Environment Scale and preliminary manual. Consulting Psychologists Press, Palo Alto, CA.
51. Muthén, B.O., 1991. Analysis of longitudinal data using latent variable models with varying parameters. In: Collins, L.C., Horn, J.L. (Eds.), Best methods for the analysis of change. American Psychological Association, Washington D.C., pp. 1-17.
52. National Institute on Drug Abuse, 1989. Overview of the 1988 National Household Survey on Drug Abuse, Author, Rockville, MD.
53. Nesselroade J.R. Temporal selection and factor invariance in the study of development and change. Life-Span Dev. Behav. 5:1983;59-87.
54. Newcomb M.D., Bentler P.M. Impact of adolescent drug use and social support on problems of young adults: A longitudinal study. J. Abnorm. Psychol. 97:1988;64-75.
55. Is Oregon's future at risk? A profile of Oregon's youth, 1989. Oregon Employment Division Research and Statistics.
56. Osgood D.W., Johnson L.D., O'Malley P.M., Bachman J.G. The generality of deviance in late adolescence and early adulthood. Am. Sociol. Rev. 53:1988;81-93.
57. Parker J.G., Asher S.R. Peer relations and later personal adjustment: Are low-accepted children at risk? Psychol. Bull. 102:1987;357-389.
58. Patterson, G., 1982. Coercive family process, Castalia Publishing, Eugene, OR.
59. Patterson, G.R., Bank, L., 1989. Some amplifying mechanisms for pathologic processes in families. In: Gunnar, M.R., Thelen, E. (Eds.), Systems and development: The Minnesota Symposia on Child Psychology, Vol, 22, Lawrence Erlbaum, Hillsdale, NJ, pp. 167-209.
60. Patterson, G.R., Capaldi, D.M., Bank, L., 1991. Some amplifying mechanisms for pathologic processes in families. In: Gunnar, M.R., Thelan, E. (Eds.), Systems and development: Minnesota symposium on child psychology, Vol. 22, Lawrence Erlbaum, Hillsdale, NJ., pp. 167-210.
61. Patterson G.R., Dishion T.J. Contributions of families and peers to delinquency. Criminology. 23:1985;63-79.
62. Patterson, G.R., Reid, J.B., Dishion, T.J., 1992, A social learning approach: IV. Antisocial boys, Castalia, Eugene, OR.
63. Prinz R.J., Foster S., Kent R.N., O'Leary K.D. Multivariate assessment of conflict in distressed and nondistressed mother-adolescent dyads. J. Appl. Behav. Anal. 12:1979;691-700.
64. Rao C.R. Some statistical methods for comparison of growth curves. Biometrics. 14:1958;1-17.
65. Rogosa, D., 1988. Myths about longitudinal research. In: Schaie, K.W., Campbell, R.T., Meredith, W., Rawlings, S.C. (Eds.), Methodological Issues in Aging Research, Springer, New York, pp. 171- 209.
66. Rogosa D.R., Brandt D., Zimowski M. A growth-curve approach to the measurement of change. Psychol. Bull. 92:1982;726-748.
67. Rogosa D.R., Willett J.B. Understanding correlates of change by modeling individual differences in growth. Psychometrika. 50:1985;203-228.
68. Rubin, D.B., 1987. Multiple imputation for nonresponse in surveys, Wiley, New York.
69. Smith, G.M., Fogg, C.P., 1978. Psychological predictors of early use, late use, and nonuse of marijuana among teenage students. In: Kandel, D.B. (Ed.), Longitudinal Research on Drug Use: Empirical Findings and Methodological Issues, Hemisphere Publishing Corporation, Washington, pp. 101-113.
70. Stein J.A., Newcomb M.D., Bentler P.M. An 8-year study of multiple influences on drug use and drug use consequences. J. Pers. Soc. Psychol. 53:1987;1094-1105.
71. Stoolmiller M., Duncan T., Bank L., Patterson G. Some problems and solutions in the study of change: Significant patterns in client resistance. J. Clin. Consult. Psychol. 61:1993;920-928.
72. Stoolmiller, M., Duncan, T.E., Patterson, G.R., 1995. Predictors of change in antisocial behavior at school for adolescent boys. In: Hoyle, R.H. (Ed.), Structural equation modeling: Issues and applications, Sage Publications, Beverly Hills, pp. 236-253.
73. Tisak, J., Meredith, W., 1990. Descriptive and associative developmental models. In: von Eye, A. (Ed.), New statistical methods in developmental research, Academic Press, New York.
74. Ware J.H. Linear models for the analysis of longitudinal studies. Am. Stat. 39:1985;95-101.
75. Welte J.W., Barnes G.M. Youthful smoking: Patterns and relationships to alcohol and other drug use. J. Adolesc. 10:1987;327-340.
76. Willett J.B., Ayoub C.C., Robinson D. Using growth modeling to examine systematic differences in growth: An example of change in the function of families at risk of maladaptive parenting, child abuse, or neglect. J. Consult. Clin. Psychol. 59:1991;38-47.
77. Willett J.B., Sayer A.G. Using covariance structure analysis to detect correlates and predictors of individual change over time. Psychol. Bull. 116:1994;363-381.
78. Wohlwill, J.F., 1973. The study of behavioral development, Academic Press, New York.