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NCJ Number: 185457 Add to Shopping cart Find in a Library
Title: Developing a Multicenter Randomized Trial in Criminology: The Case of HIDTA
Journal: Journal of Quantitative Criminology  Volume:16  Issue:3  Dated:September 2000  Pages:315-340
Author(s): David Weisburd; Faye S. Taxman
Date Published: September 2000
Page Count: 26
Sponsoring Agency: National Institute of Justice (NIJ)
Washington, DC 20531
Office of National Drug Control Policy
Washington, DC 20500
Grant Number: 96CEVX0017;
Contract Number: I9PWBP528;
Type: Program/Project Description
Format: Article
Language: English
Country: United States of America
Annotation: This article investigates the applicability in criminal justice settings of a multicenter randomized trial.
Abstract: In criminal justice, as in other fields, an experimental study conducted at a single site does not offer a solid base upon which to make strong public policy recommendations. The "multicenter clinical trial," developed in clinical studies in medicine, demands implementation of a single experimental protocol at multiple sites. The article contrasts the multicenter approach with other methods and provides a substantive example of an ongoing multicenter criminal justice study. Using the example of the High-Intensity Drug Trafficking Areas (HIDTA) evaluation of drug treatment programs currently being conducted at multiple sites, the article illustrates components of the multicenter approach as well as potential drawbacks of its application in crime and justice studies. The article argues that the model of a multicenter trial can be applied successfully to multisite criminal justice experiments. It claims that problems in defining regimented treatments, in ensuring treatment integrity and consistency and in developing and implementing common protocols and methods across sites can be overcome. Notes, tables, references
Main Term(s): Criminology
Index Term(s): Controlled Substances; Criminal justice program evaluation; Data analysis; Drug treatment; Drug treatment programs; Research design models; Research uses in policymaking; Statistics; Studies
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