U.S. flag

An official website of the United States government, Department of Justice.

NCJRS Virtual Library

The Virtual Library houses over 235,000 criminal justice resources, including all known OJP works.
Click here to search the NCJRS Virtual Library

Strengthening Causal Inference in Adolescent Drug Prevention Studies: Methods and Findings From a Controlled Study of the Urban Youth Connection Program

NCJ Number
170876
Journal
Drugs & Society Volume: 12 Issue: 1/2 Dated: (1998) Pages: 127-145
Author(s)
J Valentine; J Griffith; R Ruthazer; B Gottlieb; S Keel
Date Published
1998
Length
19 pages
Annotation
The Urban Youth Connection is a model substance abuse prevention program implemented in an urban public middle school and high school in Boston serving primarily Hispanic and black students; the program offers counseling, mentoring, and academic support.
Abstract
A pre-post comparison group design estimated the impact of the program on ultimate outcomes of 30-day use of alcohol, tobacco, and other drugs and intermediate outcomes of risk behaviors, psychosocial well-being, and school involvement, as measured by self-administered questionnaires given each fall and spring between 1993 and 1996. A nonequivalent comparison group was drawn from nonparticipants at each school. Data analysis relied on a multivariate model comparing ultimate and intermediate outcomes at follow-up among treatment and comparison students after adjusting for demographic, baseline risk, and program exposure differences for treatment students. Results showed the follow-up rate for treatment students was 71 percent at the middle school and 48 percent at the high school. Comparison group students differed from treatment group students on selected demographic and behavioral measures at baseline. Unadjusted outcomes at follow-up were significant worse in the treatment group than in the comparison group. Statistical adjustment eliminated significant differences between treatment and comparison groups at follow-up, and high program exposure was associated with better outcomes for some measures. The authors conclude adjustment for differences between treatment and comparison groups and correction for variation in program exposure in the treatment group are essential for accurately estimating benefits of drug prevention programs. 12 references and 5 tables