e-space
Manchester Metropolitan University's Research Repository

Pathways between types of crime and criminal social identity: A network approach

Boduszek, D and Debowska, A and Sharratt, K and McDermott, D and Sherretts, N and Willmott, Dominic and Popiolek, K and Hyland, P (2020) Pathways between types of crime and criminal social identity: A network approach. Journal of Criminal Justice. ISSN 0047-2352 (In Press)

[img]
Restricted to Repository staff only until October 2022.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB)

Abstract

© 2020 Elsevier Ltd Criminal social identity (CSI) is a factor for criminal behavior. CSI should therefore be a target of interventive strategies aiming to reduce the risk of re-offending. To date, there is limited knowledge on how CSI is expressed among individuals with different criminal histories, undermining the efforts to develop and target appropriate rehabilitative strategies. In the present investigation, network analysis was applied to model the pattern of relationships between different crime types and CSI. In total, eight networks were estimated among prisoners from the USA (n = 772), UK (n = 638), and Poland (n = 1591). Results show different pathways between CSI scores and crime types across samples. CSI formed positive links with acquisitive crime among U.S. and Polish male prisoners. Homicide formed negative associations with CSI among male prisoners from the USA and Poland as well as U.S. female prisoners. Crimes for which an individual is likely to face social stigmatization were positively associated with CSI in U.S. females and UK males. It is anticipated that from these results, we will be able to build a better understanding of the structural relationships between different types of criminal activity and CSI, subsequently leading to more effective rehabilitation strategies.

Impact and Reach

Statistics

Downloads
Activity Overview
0Downloads
59Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Actions (login required)

View Item View Item