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Corsaro, Nicholas; Brunson, Rod K.; McGarrell, Edmund F. – Evaluation Review, 2010
The authors examined a strategic policing initiative that was implemented in a high crime Nashville, Tennessee neighborhood by utilizing a mixed-methodological evaluation approach in order to provide (a) a descriptive process assessment of program fidelity; (b) an interrupted time-series analysis relying upon generalized linear models; (c)…
Descriptors: Neighborhoods, Crime, Narcotics, Crime Prevention
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Greenberg, David F.; Roush, Jeffrey B. – Evaluation Review, 2009
Poisson and negative binomial regression methods are used to analyze the monthly time series data to determine the effects of introducing an integrated security management system including closed-circuit television (CCTV), door alarm monitoring, proximity card access, and emergency call boxes to a large privately-owned complex of apartment…
Descriptors: Crime, Crime Prevention, Public Housing, Program Effectiveness
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Bertelli, Anthony M.; Richardson, Lilliard E., Jr. – Evaluation Review, 2007
Laws such as 0.08 blood alcohol content, open container, and license revocation provide a policy framework for reducing drinking and driving. Drinking and driving behavior is difficult to assess; unlike property and violent crimes, where incidence statistics can approximate behavior, most drink-driving trips go undetected. The authors develop a…
Descriptors: Law Enforcement, Crime, Drinking, Alcohol Abuse
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Petrosino, Anthony J. – Evaluation Review, 1995
Problems and illustrations are presented from a meta-analysis of crime reduction programs. Eight criteria are specified for including studies in a meta-analysis, and some problematic studies are discussed using the criteria. Rules for handling problem studies in order to retain consistency throughout the analysis are discussed. (SLD)
Descriptors: Crime, Crime Prevention, Criteria, Meta Analysis
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Worrall, John L. – Evaluation Review, 2004
Panel data were analyzed to determine whether funding for collaborative juvenile crime prevention programs reduced arrests in California counties. Because the data were a population (i.e., all 58 counties in the state), regression results were summarized descriptively, and special attention was given to the direction and magnitude of key…
Descriptors: Crime, Crime Prevention, Counties, Juvenile Justice