Awardee OrganizationUNIVERSITY OF SOUTHERN CALIFORNIA
Description
Abstract Text
DESCRIPTION: (Applicant's Abstract)
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.
Public Health Relevance Statement
Data not available.
NIH Spending Category
No NIH Spending Category available.
Project Terms
adolescence (12-20)behavioral /social science research taghuman datamathematical modelmental health epidemiologymodel design /developmentpsychological modelssubstance abuse related disorder
No Sub Projects information available for 1R01DA009652-01A2
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