This is for secondary data analysis that will apply and test a state-of-the-art multilevel statistical approach to research on the prevention of substance abuse. The analytical technique to be tested, the random-effect model (REM) allows simultaneous processing of information from different levels (e.g., student, class, school, etc.). Conventional approaches with single-level analyses and conventional multilevel models contain shortcomings in specifying substantive models or in statistical testing of hypotheses, which in turn may lead to unreliable results and erroneous conclusions. The REM provides a more appropriate mechanism to represent the complexity of the multilevel data and a more adequate model specification to test the impact of social contexts. The ability to test contextual effects makes the application of REM a very promising alternative for data analyses in substance abuse research. Having the flexibility to model random group effects, the REM also offers a more powerful alternative to examine the impact of social context on substance use. The extension of this approach to substance abuse research may help us understand more about the impact of prevention programs. In this proposed project, hierarchical linear models will be developed and applied to data from a substance abuse prevention study to identify important contextual and individual effects on substance use. Results obtained from the REM will be compared to that of other conventional multilevel approaches. In addition, the issues of robustness to violations of normal distribution and sensitivity to the number of groups of the REM will be investigated. Other potential methodological concerns, such as dichotomized outcome, latent factor, and survival analysis, will also be examined. Findings from this project should provide guidelines for appropriate REM application, a better understanding of the contribution of environmental contexts to effects of prevention programs, and more valid estimation of program effects on substance abuse.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
1R01DA009652-01A2
Application #
2013344
Study Section
Human Development Research Subcommittee (NIDA)
Project Start
1997-07-01
Project End
1999-06-30
Budget Start
1997-07-01
Budget End
1998-06-30
Support Year
1
Fiscal Year
1997
Total Cost
Indirect Cost
Name
University of Southern California
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
041544081
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Hser, Y I; Chou, C P; Hoffman, V et al. (1999) Cocaine use and high-risk sexual behavior among STD clinic patients. Sex Transm Dis 26:82-6
Chou, C P; Montgomery, S; Pentz, M A et al. (1998) Effects of a community-based prevention program on decreasing drug use in high-risk adolescents. Am J Public Health 88:944-8