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Chen, W. William; Sheu, Jiunn-Jye; Weng, Chung-Bang – Journal of Drug Education, 2013
School-based tobacco prevention programs have been proven effective in reducing tobacco use. This evaluation aimed to assess the impact of an online tobacco prevention teacher training program on teachers and their students in Florida schools. A total of 344 teachers, including 72 K-3 grade teachers, 44 4th-5th grade teachers, and 228 6th-12th…
Descriptors: Smoking, Drug Education, Prevention, Program Effectiveness
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Hall, Bruce W.; Bacon, Tina P.; Ferron, John M. – Journal of Drug Education, 2013
Sixth graders participating in the "Too Good for Drugs" (TGFD) prevention program in comparison to 6th graders not participating show different results by student risk level. Sixth graders from 20 middle schools were randomly assigned to receive the intervention and those from 20 paired middle schools assigned to serve as controls (N =…
Descriptors: Drug Education, Prevention, Adolescents, Program Effectiveness
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Jobli, Edessa C.; Dore, Heather S.; Werch, Chudley E.; Moore, Michele J. – Journal of Alcohol and Drug Education, 2005
This study examined the prevalence of high potency (liquor, malt liquor, fortified wine) and other alcoholic beverage consumption (beer, wine/wine coolers) among adolescents, the impact of gender and ethnicity, and the risk and protective factors that predicted consumption. A confidential survey revealed that, among eighth grade students,…
Descriptors: Grade 8, Prevention, Early Adolescents, Gender Differences
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Kim, Sehwan; Wurster, Leslie; Williams, Charles; Hepler, Nancy – Journal of Drug Education, 1998
The first of three articles that develop a framework for county-based prevention-resource-allocation algorithms based on the aggravated need for substance-abuse-prevention services estimated at the county level. Algorithm development is based on (1) statewide student drug survey, and (2) a set of social indicators routinely published by agencies…
Descriptors: Adolescents, Algorithms, Case Studies, Children
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Kim, Sehwan; Wurster, Leslie; Williams, Charles; Hepler, Nancy – Journal of Drug Education, 1998
Presents a model for resource allocation of state-prevention funds based on the relative need for prevention services measured in terms of composite risk-factor index scores computed for each county. Suggests that funding be based on the resource-allocation algorithms rather than the suggested amount of funding computed for each county.…
Descriptors: Algorithms, Prevention, Programs, Resource Allocation
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Kim, Sehwan; Wurster, Leslie; Williams, Charles; Hepler, Nancy – Journal of Drug Education, 1998
Discusses the development of an algorithm for an equitable distribution of state prevention funds to its substate jurisdiction based on the need for prevention services. Suggests that the final decision on the level of funding must be based on the selection of the schedule for resource allocation rather than the suggested amount or level of…
Descriptors: Algorithms, Case Studies, Predictor Variables, Prevention