The real-life consequences of drug use cannot be determined with laboratory-controlled experimental studies. The complete nature and extent of these consequences may not appear until many years after adolescence into adulthood. We use a unique, rich, and comprehensive database over a 20-year span of our subjects lives with careful and complex analyses to evaluate whether drug use has a reliable impact on changing physical and psychosocial functioning later in life. This project uses a unique and rich 20-year database to conduct comprehensive structural equation model analyses of these data. We develop contrast, elaborate, and refine current theories to explain and predict the long-term psychosocial and health-related consequences of using drugs as a teenager or young adult, and evaluate these theories using latent-variable models. In addition, a few carefully selected multi-wave prospective data bases will also be analyzed in cooperation with their owners to cross- validate and extend our findings.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Program Projects (P01)
Project #
2P01DA001070-24
Application #
6237844
Study Section
Project Start
1997-06-01
Project End
1998-05-31
Budget Start
1996-10-01
Budget End
1997-09-30
Support Year
24
Fiscal Year
1997
Total Cost
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
119132785
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
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An, Xinming; Bentler, Peter M (2013) Nesting Monte Carlo EM for high-dimensional item factor analysis. J Stat Comput Simul 83:25-36

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