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NCJ Number: 221029 Find in a Library
Title: Influencing the "People Who Count": Some Perspectives on the Reporting of Meta-Analytic Results for Prediction and Treatment Outcomes With Offenders
Journal: Criminal Justice and Behavior  Volume:34  Issue:12  Dated:December 2007  Pages:1536-1559
Author(s): Paul Gendreau; Paula Smith
Date Published: December 2007
Page Count: 24
Type: Issue Overview
Format: Article
Language: English
Country: United States of America
Annotation: This article examines several effective approaches in ensuring that meta-analytic results for the prediction and treatment outcomes with offenders are attended to by policymakers and practitioners.
Abstract: It is recommended that easily understandable metrics such as Pearson’s r be employed. Correctional audiences have been found to quickly grasp the practical meaning of treatment and prediction results when presented in the form of Pearson’s r values. Pearson’s r is a very flexible statistic. In addition, it is suggested that null-hypothesis significance testing be abandoned and replaced by confidence intervals and common language statistics that clearly describe the preciseness and magnitude of results. In summary, graphs, along with the plain language statistics described, are essential for describing applied results, and they are most helpful when communicating with the “people who count.” Brief comments are offered on three issues arising in meta-analysis that should be of interest to policymakers; they include: (1) meta-analysis of qualitative reviews, (2) the width of confidence intervals (CIs), and (3) the quality of research design. How is it possible to get influential policymakers and practitioners to attend to the importance of the findings from meta-analyses? Several approaches that will help to ensure that meta-analytic results will have maximum impact are prescribed in this article. Notes, references
Main Term(s): Research uses in policymaking
Index Term(s): Corrections effectiveness; Evaluative research; Recidivism; Testing and measurement; Treatment effectiveness
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