Piecewise growth mixture modeling of adolescent alcohol use data

Structural Equation Modeling

Volumn 8, Issue 2, 2001, Pages 175-204

  Li, Fuzhong ^a   Duncan, Terry E ^a   Duncan, Susan C ^a   Hops, Hyman ^a  

^a OREGON RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0005131014     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1207/S15328007SEM0802_2     Document Type: Article

References (66)

1. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, AC-19, 716-723.
2. Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52, 317-332.
3. 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.
4. Arminger, G., & Stein, P. (1997). Finite mixtures f covariance structure models with regressors. Sociological Method & Research, 26, 148-182.
5. Ary, D. V., Duncan, T. E., Duncan, S. C., & Hops, H. (1999). Adolescent problem behavior: The influence of parents and peers. Behavioral Research and Therapy, 37, 217-230.
6. Bachman, J. G., O'Malley, P. M., & Johnston, L. D. (1984). Drug use among young adults: The impacts of role status and social environments. Journal of Personality and Social Psychology, 47, 629-645.
7. Bachman, J. G., Wadsworth, K. N., O'Malley, P. M., Johnston, L. D., & Schulenberg, J. E. (1997). Smoking, drinking, and drug use in young adulthood: The impacts of new freedoms and new responsibilities. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
8. Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models: Applications and data analysis methods. Newbury Park, CA: Sage.
9. Clogg, C. C. (1995). Latent class models. In G. Arminger, C. C. Clogg, & M. E. Sobel (Eds.), Handbook of statistical modeling for the social and behavioral sciences (pp. 311-359). New York: Plenum.
10. Collins, L., & Wugalter, S. E. (1992). Latent class models for stage-sequential dynamic latent variables. Multivariate Behavioral Research, 27, 131-157.
11. Curran, P. J., Stice, E., & Chassin, L. (1997). The relation between adolescent alcohol use and peer alcohol use: A longitudinal random coefficient model. Journal of Consulting and Clinical Psychology, 65, 130-140.
12. Department of Health and Human Services. (1994). Preliminary estimates from the 1993 National Household Survey on Drug Abuse. (DHHS Advance Report No. 7, 40609) Washington DC: U.S. Government Printing Office.
13. Dishion, T. J., & Andrews, D. W. (1995). Preventing escalation in problem behaviors with high-risk young adolescents: Immediate and 1-year outcomes. Journal of Consulting and Clinical Psychology, 63, 538-548.
14. Dishion, T. J., Capaldi, D., Spracklen, K. M., & Li, F. (1995). Peer ecology of male adolescent drug use. Development and Psychopathology, 7, 803-824.
15. Dishion, T. J., & Loeber, R. (1985). Male adolescent marijuana and alcohol use: The role of parents and peers revisited. American Journal of Drug and Alcohol Abuse, 11, 11-25.
16. Dolan, C. V., & van der Maas, H. L. J. (1998). Fitting multivariate normal finite mixtures subject to structural equation modeling. Psychometrika, 63, 227-253.
17. Donovan, J. E., & Jessor, R. (1985). Structure of problem behavior in adolescence and young adulthood. Journal of Consulting and Clinical Psychology, 53, 890-904.
18. Duncan S. C., Alpert, A., Duncan, T. E., & Hops, H. (1997). Adolescent alcohol use development and young adult outcomes. Drug and Alcohol Dependence, 49, 39-48.
19. Duncan, S. C., & Duncan, T. E. (1994). Modeling incomplete longitudinal substance use data using latent variable growth curve methodology. Multivariate Behavioral Research, 29, 313-338.
20. Duncan, S. C., Duncan, T. E., & Hops, H. (1994). The effects of family cohesiveness and peer encouragement on the development of adolescent alcohol use: Acohort-sequential approach to the analysis of longitudinal data. Journal of Studies on Alcohol, 55, 588-599.
21. Duncan, S. C., Duncan, T. E., & Hops, H. (1996). Analysis of longitudinal data within accelerated longitudinal designs. Psychological Methods, 1, 1-13.
22. Grant, B. F. (1997). Prevalence and correlates of alcohol use and DSM-IV alcohol dependence in the United States: Results of the National Longitudinal Alcohol epidemiologic Survey. Journal of Studies on Alcohol, 58, 464-473.
23. Hawkins, J. D., Kosterman, R., Maguin, E., Catalano, R. F., & Arthur, M. W. (1997). Substance use and abuse. In R. T. Ammerman & M. Hersen (Eds.), Handbook of prevention and treatment with children and adolescents (pp. 203-237). New York: Wiley.
24. Hollingshead, A. B. (1975). Four-factor index of social status. Yale University Working Paper, New Haven, CT.
25. Hops, H., Duncan, T. E., Duncan, S. C., & Stoolmiller, M. (1996). Parent substance use as a predictor of adolescent use: A six-year lagged analysis. Annals of Behavioral Medicine, 18, 157-164.
26. Jedidi, K., Jagpal, H. S., & DeSarbo, W. S. (1997). Finite-mixture structural equation models for response-based segmentation and unobserved heterogeneity. Marketing Science, 16, 39-59.
27. Johnston, L. D. (1997). Monitoring the future study [Press release]. University of Michigan News and Information Services, Ann Arbor.
28. Johnston, L. D., O'Malley, P. M., & Bachman, J. G. (1995, December 11). Drug use rises again in 1995 among American teens [News release]. University of Michigan News and Information Services, Ann Arbor.
29. Johnston, L. D., O'Malley, P. M., & Bachman, J. G. (1996). National survey results on drug use from the Monitoring the Future Study, 1975-1995, NIH Publication No. 96-4126). Washington, DC: U.S. Government Printing Office.
30. Johnston, L. D., O'Malley, P. M., & Bachman, J. G. (1999, December 17). Drug trends in 1999 among American teens are mixed [Press release]. University of Michigan News and Information Services, Ann Arbor.
31. Khoo, S. T. (1997). Assessing interactions between program effects and baseline: A latent curve approach. Unpublished doctoral dissertation, University of California, Los Angles.
32. Li, F., Duncan, T. E., Duncan, S. C., & Acock, A. (in press). Latent growth modeling of longitudinal data: A finite growth mixture modeling approach. Structured Equation Modeling.
33. Li, F., Duncan, T. E., & Hops, H. (in press). Examining developmental trajectories in adolescent alcohol use using piecewise growth mixture modeling analysis. Journal of Studies in Alcohol.
34. 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.
35. Loeber, R., Farrington, D. P., Stouthamer-Loeber, M., & Van Kammen, W. B. (1998). Antisocial behavior and mental health problems: Explanatory factors in childhood and adolescence. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
36. McArdle, J. J., & Epstein, D. (1987). Latent growth curves within developmental structural equation models. Child Development, 58, 110-133.
37. Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika, 55, 107-122.
38. Muthén, B. (1991). Analysis of longitudinal data using latent variable models with varying parameters. In L. M. Collins & J. L. Horn (Eds.), Best methods for the analysis of change: Recent advances, unanswered questions, future directions (pp. 1-17). Washington, DC: American Psychological Association.
39. 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 L. Collins & A. Sayer (Eds.), New methods for the analysis of change. Washington, DC: American Psychological Association.
40. Muthén, B., Brown, C. H., Khoo, S., Yang, C., & Jo, B. (1998, June). General growth mixture modeling of latent trajectory classes: Perspectives and prospects. Paper presented at the meeting of the Prevention Science and Methodology Group, Tempe, AZ.
41. Muthén, B., & Curran, P. (1997). General longitudinal modeling of individual differences in experimental designs: Alatent variable framework for analysis and power estimation. Psychological Methods, 2, 371-402.
42. Muthén, L. K., & Muthén, B. (1998). Mplus: User's guide. Los Angeles: Authors.
43. Muthén, B., & Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EMalgorithm. Biometrics, 55, 463-469.
44. Nagin, D. S. (1999). Analyzing developmental trajectories: A semiparametric, group-based approach. Psychological Methods, 4, 139-157.
45. National Institute on Drug Abuse. (1989). Overview of the 1988 National Household Survey on Drug Abuse. Rockville, MD: Author.
46. Newcomb, M. D., & Bentler, P. M. (1988). Consequences of adolescent drug use: Impact on the lives of young adults. Newbury Park, CA: Sage.
47. Oregon Employment Division Research and Statistics. (1989). Is Oregon's future at risk? A profile of Oregon's youth. Salem, OR: Author.
48. Patterson, G. R. (1993). Orderly change in a stable world: The antisocial trait as a Chimera. Journal of Consulting and Clinical Psychology, 61, 911-919.
49. Patterson, G. R., Reid, J. B., & Dishion, T. J. (1992). Antisocial boys: A social interactional approach. (Vol. 4). Eugene, OR: Castalia.
50. Piaget. (1928). Judgement and reasoning in the child. New York: Harcourt Brace.
51. 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 young adulthood. Journal of Studies on Alcohol, 57, 289-304.
52. Schulenberg, J., Wadsworth, K. N., O'Malley, P. M., Bachman, J. G., & Johnston, L. D. (1996). Adolescent risk factors for binge drinking during the transition to young adulthood: Variable- and pattern-centered approaches to change. Developmental Psychology, 32, 659-674.
53. Schwartz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6, 461-464.
54. Sherrod, L. R., Haggerty, R. J., & Featherman, D. L. (1993). Introduction: Late adolescence and the transition to adulthood. Journal of Research in Adolescence, 3, 217-226.
55. Tao Hunter, F. T., & Youniss, J. (1982). Change in functions of three relations during adolescence. Developmental Psychology, 18, 806-811.
56. Tarter, R. E., & Vanyukov, M. M. (1994). Stepwise developmental model of alcoholism etiology. In R. A. Zucker, J. Howard, & G. M. Boyd (Eds.), The development of alcohol problems: Exploring the biopsychosocial matrix of risk (pp. 303-330). Rockville, MD: U.S. Department of Health and Human Services.
57. Tildesley, E., Hops, H., Ary, D. V., & Andrews, J. A. (1995). Amultitrait-multimethod model of adolescent deviance, drug use, academic and sexual behaviors. Journal of Psychopathology and Behavioral Assessment, 17, 185-215.
58. Titterington, D. M., Smith, A. F. M., & Makov, U. E. (1985). Statistical analysis of finite mixture distributions. Chichester, England: Wiley.
59. 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.
60. Windle, M. (1988). Critique: Are those adolescent of early adulthood drinking patterns so discontinuous? A response to Temple and Fillmore. International Journal of the Addiction, 23, 907-912.
61. Yang, C. C. (1998). Finite mixture model selection with psychometric applications. Unpublished doctorial dissertation, University of California, Los Angeles.
62. Yung, Y. F. (1995). Finite mixtures in confirmatory factor-analytic models [Microfilm]. Ann Arbor, MI: University Microfilms.
63. Yung, Y. F. (1997). Finite mixtures in confirmatory factor-analysis models. Psychometrika, 62, 297-330.
64. Zucker, R. A. (1979). Developmental aspects of drinking through the young adult years. In H. T. Blane & M. E. Chafetz (Eds.), Youth, alcohol, and social policy (pp. 91-146). New York: Plenum.
65. Zucker, R. A. (1994). Pathways to alcohol problems and alcoholism: A developmental account of the evidence for multiple alcoholism and for contextual contributions to risk. In R. A. Zucker, J. Howard, & G. M. Boyd (Eds.), The development of alcohol problems: Exploring the biopsychosocial matrix of risk (pp. 255-289). Rockville, MD: U.S. Department of Health and Human Services.
66. 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. J. Cohen, Development psychopathology: Risk, disorder, and adaptation (Vol. 2, pp. 677-711). New York: Wiley.