Moving targets: Modeling developmental trajectories of adolescent alcohol misuse, individual and peer risk factors, and intervention effects

Applied Developmental Science

Volumn 5, Issue 4, 2001, Pages 237-253

  Schulenberg, John ^a   Maggs, Jennifer L ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0012904596     PISSN: 10888691     EISSN: 1532480X     Source Type: Journal    
DOI: 10.1207/S1532480XADS0504_05     Document Type: Article

References (56)

1. Almeida, D. M., Wethington, E., & Chandler, A. (1999). Daily transmission of tensions between marital dyads and parent–child dyads. Journal of Marriage and the Family, 61, 49–61.
2. Berndt, T. J. (1996). Transitions in friendships and friends’influence. In J. A. Graber, J. Brooks-Gunn, & A.C. Petersen (Eds.), Transitions through adolescence: Interpersonal domains and contexts (pp. 57–84). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
3. Bronfenbrenner, U. (1977). Toward an experimental ecology of human development. American Psychologist, 32, 513–531.
4. Browne, M.W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen&J. S. Long (Eds.), Testing structural equation models (pp. 136–161). Newbury Park, CA: Sage.
5. Bryk, A. S., & Raudenbush, S.W. (1987). Application of hierarchical linear models to assessing change. Psychological Bulletin, 101, 147–158.
6. Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models: Applications and data analysis methods. Newbury Park, CA: Sage.
7. Cairns, R. B., & Cairns, B. D. (1994). Lifelines and risks: Pathways of youth in our time. New York: Cambridge University Press.
8. Campanelli, P. C., Dielman, T. E., & Shope, J. T. (1987). Validity of adolescents’ self-reports of alcohol use and misuse using a bogus pipeline procedure. Adolescence, 22, 7–21.
9. Clayton, R. R. (1992). Transitions in drug use: Risk and protective factors. In M. D. Glantz & R. Pickens (Eds.), Vulnerability to drug use (pp. 15–51). Washington, DC: American Psychological Association.
10. Chou, C. P., Bentler, P. M., & Pentz, M. A. (1998). Comparisons of two statistical approaches to study growth curves: The multilevel model and the latent curve analysis. Structural Equation Modeling, 5, 247–266.
11. Coie, J. D., Watt, N. F., West, S. G., Hawkins, J. D., Asarnow, J. R., Markman, H. J., Ramey, S. L., Shure, M. B., & Long, B. (1993). The science of prevention: A conceptual framework and some directions for a national research program. American Psychologist, 48, 1013–1022.
12. Collins, L. M., Graham, J. W., Rousculp, S. S., & Hansen, W. B. (1997). Heavy caffeine use and the beginning of substance use onset process: An illustration of latent transition analysis. In K. J. Bryant, M. Windle, & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 79–99). Washington, DC: American Psychological Association.
13. Curran, P. J. (2000). A latent curve framework for the study of developmental trajectories in adolescent substance use. In J. S. Rose, L. Chassin, C. C. Presson, & S. J. Sherman (Eds.), Multivariate applications in substance use research: New methods for new questions (pp. 1–42). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
14. Curran, P. J., & Muthén, B. O. (1999). The application of latent curve analysis to testing developmental theories in intervention research. American Journal of Community Psychology, 27, 567–595.
15. Curran, P. J., Muthén, B. O., & Harford, T. C. (1998). The influence of changes in marital status on developmental trajectories of alcohol use in young adults. Journal of Studies on Alcohol, 59, 647–658.
16. Curran, P. J., Stice, E., & Chassin, L. (1997). The relation between adolescent and peer alcohol use: A longitudinal random coefficients model. Journal of Consulting and Clinical Psychology, 65, 130–140.
17. Dielman, T. E. (1994). School-based research on the prevention of adolescent alcohol use and misuse: Methodological issues and advances. Journal of Research on Adolescence, 4, 271–293.
18. Dielman, T. E., Campanelli, P. C., Shope, J. T., & Butchart, A. T. (1987). Susceptibility to peer pressure, self-esteem, and health locus of control as correlates of adolescent substance abuse. Health Education Quarterly, 14, 207–221.
19. Dielman, T. E., Shope, J., Leech, S. L., & Butchart, A. T. (1989). Differential effectiveness of an elementary school-based alcohol misuse prevention program. Journal of School Health, 59, 255–263.
20. Duncan, T. E., Duncan, S. C., & Hops, H. (1996). The role of parents and older siblings in predicting substance use: Modeling development via structural equation latent growth methodology. Journal of Family Psychology, 10, 158–172.
21. Elliott, D. S., Huizinga, D., & Ageton, S. S. (1985). Explaining delinquency and drug use. Newbury Park, CA: Sage.
22. Fisher, L. A., & Bauman, K. E. (1988). Influence and selection in the friend–adolescent relationship: Findings from studies of adolescent smoking and drinking. Journal of Applied Social Psychology, 18, 289–314.
23. Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychological Bulletin, 112, 64–105.
24. Hox, J. J. (2000). Multilevel analyses of grouped and longitudinal data. In T. D. Little, K. U. Schnabel, & J. Baumert (Eds.), Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples (pp. 2–32). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
25. 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.
26. Jöreskog, K. G., & Sörbom, D. (1999). LISREL user’s guide (Version 8.30). Mooresville, IN: Scientific Software.
27. Kandel, D., Davies, M., & Baydar, N. (1990). The creation of interpersonal contexts: Homophily in dyadic relationships in adolescence and young adulthood. In L. Robins & M. Rutter (Eds.), Straight and devious pathways from childhood to adulthood (pp. 221–241). New York: Cambridge University Press.
28. Kellam, S. G., Koretz, D., & Móscicki, E. K. (1999). Core elements of developmental epidemiologically based prevention research. American Journal of Community Psychology, 27, 463–482.
29. Kellam, S. G., & Rebok, G. W. (1992). Building developmental and etiological theory through epidemiologically based preventive intervention trials. In J. McCord & R. E. Tremblay (Eds.), Preventing antisocial behavior: Interventions from birth through adolescence (pp. 162–195). New York: Guilford.
30. MacCallum, R. C., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual Review of Psychology, 51, 201–226.
31. MacCallum, R. C., Kim, C., Malarkey, W. B., & Kiecolt-Glaser, J. K. (1997). Studying multivariate change using multilevel models and latent curve models. Multivariate Behavioral Research, 32, 215–253.
32. Maggs, J. L., & Galambos, N. L. (1993). Alternative structural models for understanding adolescent problem behavior in two-earner families. Journal of Early Adolescence, 13, 79–101.
33. Maggs, J. L., & Schulenberg, J. (1998). Reasons to drink and not to drink: Altering trajectories of drinking through an alcohol misuse prevention program. Applied Developmental Science, 2, 48–60.
34. Maggs, J. L., Schulenberg, J., & Hurrelmann, K. (1997). Developmental transitions during adolescence: Health promotion implications. In J. Schulenberg, J. L. Maggs, & K. Hurrelmann (Eds.), Health risks and developmental transitions during adolescence (pp. 522–546). New York: Cambridge University Press.
35. McArdle, J. J., & Bell, R. Q. (2000). An introduction to latent growth models for developmental data analysis. In T. D. Little, K. U. Schnabel, & J. Baumert (Eds.), Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples (pp. 69–107). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
36. Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika, 55, 107–122.
37. Muthén, B. O. (2000). Methodological issues in random coefficient growth modeling using a latent variable framework: Applications to the development of heavy drinking. In J. S. Rose, L. Chassin, C. C. Presson, & S. J. Sherman (Eds.), Multivariate applications in substance use research: New methods for new questions. (pp. 113–140). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
38. Muthén, B. O., & Curran, P. J. (1997). General longitudinal modeling of individual differences in experimental designs: A latent variable framework for analysis and power estimation. Psychological Methods, 2, 371–402.
39. Nesselroade, J. R. (1991). Interindividual differences in intraindividual change. In L. M. Collins & J. L. Horn (Eds.), Best methods for the analysis of change: Recent advances, unanswered questions, future directions (pp. 92–105). Washington, DC: American Psychological Association.
40. Nesselroade, J. R., & Ghisletta, P. (2000). Beyond static concepts in modeling behavior. In L. R. Bergman, R. B. Cairns, L.-G. Nilsson, & L. Nystedt (Eds.), Developmental science and the holistic approach (pp. 121–135). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
41. Petraitis, J., Flay, B. R., & Miller, T.Q. (1995). Reviewing theories of adolescent substance use: Organizing pieces in the puzzle. Psychological Bulletin, 117, 67–86.
42. Rachal, J. V., Guess, L., Hubbard, R., Maisto, S., Cavanaugh, E., Waddell, R., & Benrud, C. (1980). The extent and nature of adolescent alcohol and drug use: The 1974 and 1978 National Sample Studies. Rockville, MD: National Institute on Alcohol Abuse and Alcoholism.
43. Raudenbush, S. W. (2001). Toward a coherent framework for comparing trajectories of individual change. In A. Sayer & L. Collins (Eds.), New methods for the analysis of change (pp. 35–64). Washington, DC: American Psychological Association.
44. Rogosa, D. (1995). Myths and methods: Myths about longitudinal research plus supplemental questions. In J. M. Gottman (Ed.), The analysis of change (pp. 3–66). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
45. Schulenberg, J., & Maggs, J. L. (in press). A developmental perspective on alcohol use and heavy drinking during adolescence and the transition to young adulthood. Journal of Studies on Alcohol.
46. Schulenberg, J., Maggs, J. L., Dielman, T. E., Leech, S. L., Kloska, D. D., Shope, J. T., & Laetz, V. B. (1999). On peer influences to get drunk: A panel study of young adolescents. Merrill-Palmer Quarterly, 45, 108–142.
47. Schulenberg, J., Maggs, J. L., Steinman, K., & Zucker, R. A. (2001). Development matters: Taking the long view on substance abuse etiology and intervention during adolescence. In P. M. Monti, S. M. Colby, & T. A. O’Leary (Eds.), Adolescents, alcohol, and substance abuse: Reaching teens through brief intervention (pp. 19–57). New York: Guilford.
48. Schwartz, J. E., & Stone, A. A. (1998). Strategies for analyzing ecological momentary assessment data. Health Psychology, 17, 6–16.
49. Sher, K. J., & Wood, P. K. (1997). Methodological issues in conducting prospective research on alcohol-related behavior: A report from the field. In K. J. Bryant, M. Windle, & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 3–41).Washington, DC: American Psychological Association.
50. Shiffman, S., & Stone, A. A. (1998). Introduction to the special section: Ecological momentary assessment in health psychology. Health Psychology, 17, 3–5.
51. Stoolmiller, M. (1995). Using latent growth curve models to study developmental processes. In J. M. Gottman (Ed.), The analysis of change (pp. 105–138). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
52. White, H. R., Johnson, V., & Horwitz, A. (1986). An application of three deviance theories to adolescent substance use. The International Journal of the Addictions, 21, 347–366.
53. Willett, J. B., & Sayer, A.G. (1994). Using covariance structure analysis to detect correlates and predictors of individual change over time. Psychological Bulletin, 116, 363–381.
54. Windle, M. (1997). Alternative latent-variable approaches to modeling change in adolescent alcohol involvement. In K. J. Bryant, M. Windle, & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 43–78). Washington, DC: American Psychological Association.
55. Windle, M., Barnes, G. M., & Welte, J. (1989). Causal models of adolescent substance use: An examination of gender differences using distribution-free estimators. Journal of Personality and Social Psychology, 56, 132–142.
56. Wynn, S. R., Schulenberg, J., Maggs, J. L., & Zucker, R. A. (2000). Preventing alcohol misuse: The impact of refusal skills and norms. Psychology of Addictive Behaviors, 14, 36–47.