Tilley, N;
(2016)
EMMIE and engineering: What works as evidence to improve decisions?
Evaluation
, 22
(3)
pp. 304-322.
10.1177/1356389016656518.
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Abstract
While written by a proponent of realism, this article argues in favour of a pragmatic approach to evaluation. It argues that multiple sources of evidence collected using diverse research methods can be useful in conducting informative evaluations of programmes, practices and policies. It argues in particular that methods, even if their assumptions appear incommensurable with one another, should be chosen to meet the evidence needs of decision-makers. These evidence needs are captured in the acronym, EMMIE, which refers to Effect size, Mechanism, Moderator (or context), Implementation and Economic impact. Finally the article questions evidence hierarchies that are inspired by clinical trials, and suggests instead that, notwithstanding the clear differences in the physical and social worlds, engineering may provide a superior model for evaluators to try to emulate. And engineering is, above all, a pragmatic field.
Type: | Article |
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Title: | EMMIE and engineering: What works as evidence to improve decisions? |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1177/1356389016656518 |
Publisher version: | http://dx.doi.org/10.1177/1356389016656518 |
Language: | English |
Additional information: | This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (http://www.uk.sagepub.com/aboutus/openaccess.htm). |
Keywords: | EMMIE; engineering; pragmatism; realism; realist |
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-pp.ucl.ac.uk/id/eprint/1515246 |
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