Farrell, G;
Tseloni, A;
Tilley, N;
(2016)
Signature dish: Triangulation from data signatures to examine the role of security in falling crime.
Methodological Innovations
, 9
pp. 1-11.
10.1177/2059799115622754.
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Abstract
This article describes realist evaluation research combining data signatures and theories of causal mechanism as a means of shedding light on why crime has declined in recent years. A data signature is an empirical indicator of how or why something has occurred. The use of multiple signatures – a ‘dish’ – from different angles and contexts can, if they point in the same direction, result in a form of triangulation that reduces the chance of interpretive error. The signatures identified strongly suggest that more and better security played a key role in the global ‘crime drop’, and in so doing, they rebut rival hypotheses.
| Type: | Article |
|---|---|
| Title: | Signature dish: Triangulation from data signatures to examine the role of security in falling crime |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1177/2059799115622754 |
| Publisher version: | http://doi.org/10.1177/2059799115622754 |
| Language: | English |
| Additional information: | © The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
| Keywords: | Realist evaluation, triangulation, data signatures, security hypothesis, crime drop, crime decline |
| 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/1515270 |
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