UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

A False Dichotomy? Mental Illness and Lone-Actor Terrorism

Corner, E; Gill, P; (2015) A False Dichotomy? Mental Illness and Lone-Actor Terrorism. Law and Human Behavior , 39 (1) 23 - 34. 10.1037/lhb0000102. Green open access

[thumbnail of 23.pdf] PDF
23.pdf

Download (595kB)

Abstract

We test whether significant differences in mental illness exist in a matched sample of lone- and group-based terrorists. We then test whether there are distinct behavioral differences between lone-actor terrorists with and without mental illness. We then stratify our sample across a range of diagnoses and again test whether significant differences exist. We conduct a series of bivariate, multivariate, and multinomial statistical tests using a unique dataset of 119 lone-actor terrorists and a matched sample of group-based terrorists. The odds of a lone-actor terrorist having a mental illness is 13.49 times higher than the odds of a group actor having a mental illness. Lone actors who were mentally ill were 18.07 times more likely to have a spouse or partner who was involved in a wider movement than those without a history of mental illness. Those with a mental illness were more likely to have a proximate upcoming life change, more likely to have been a recent victim of prejudice, and experienced proximate and chronic stress. The results identify behaviors and traits that security agencies can utilize to monitor and prevent lone-actor terrorism events. The correlated behaviors provide an image of how risk can crystalize within the individual offender and that our understanding of lone-actor terrorism should be multivariate in nature.

Type: Article
Title: A False Dichotomy? Mental Illness and Lone-Actor Terrorism
Open access status: An open access version is available from UCL Discovery
DOI: 10.1037/lhb0000102
Publisher version: http://psycnet.apa.org/psycinfo/2014-33751-001/
Additional information: This article has been published under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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/1437776
Downloads since deposit
797Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item