Farrell, G orcid.org/0000-0002-3987-8457, Tseloni, A and Tilley, N (2016) Signature dish: Triangulation from data signatures to examine the role of security in falling crime. Methodological Innovations, 9. pp. 1-11. ISSN 2059-7991
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.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and 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 page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
Keywords: | Realist evaluation; triangulation; data signatures; security hypothesis; crime drop; crime decline |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Law (Leeds) |
Funding Information: | Funder Grant number ESRC Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Jun 2016 15:41 |
Last Modified: | 28 Jun 2016 15:41 |
Published Version: | http://dx.doi.org/10.1177/2059799115622754 |
Status: | Published |
Publisher: | SAGE |
Identification Number: | 10.1177/2059799115622754 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:97467 |