Johnson, SD;
Tilley, N;
Bowers, KJ;
(2015)
Introducing EMMIE: An evidence rating scale to encourage mixed-method crime prevention synthesis reviews.
Journal of Experimental Criminology
, 11
(3)
pp. 459-473.
10.1007/s11292-015-9238-7.
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Abstract
Objectives This short report describes the need for, and the development of, a coding system to distil the quality and coverage of systematic reviews of the evidence relating to crime prevention interventions. The starting point for the coding system concerns the evidence needs of policymakers and practitioners. Methods The coding scheme (EMMIE) proposed builds on previous scales that have been developed to assess the probity, coverage and utility of evidence both in health and criminal justice. It also draws on the principles of realist synthesis and review. Results The proposed EMMIE scale identifies five dimensions to which systematic reviews intended to inform crime prevention should speak. These are the Effect of intervention, the identification of the causal Mechanism(s) through which interventions are intended to work, the factors that Moderate their impact, the articulation of practical Implementation issues, and the Economic costs of intervention.
Type: | Article |
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Title: | Introducing EMMIE: An evidence rating scale to encourage mixed-method crime prevention synthesis reviews |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/s11292-015-9238-7 |
Publisher version: | http://dx.doi.org/10.1007/s11292-015-9238-7 |
Language: | English |
Additional information: | © The Author(s) 2015. This article is published with open access at Springerlink.com |
Keywords: | Systematic reviews, quality, mechanisms, moderators, effect size, implementation, economic analysis, crime reduction |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/1462668 |
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