Vulnerability to radicalisation in a general population: a psychometric network approach
A public health approach to countering the threat from extremism aims to manage vulnerability before behaviour escalates to require involvement from the criminal justice system. Fundamental to applying a public health approach is understanding how risk (and protective) factors can be modified, in ot...
| Authors: | ; ; ; |
|---|---|
| Format: | Electronic Article |
| Language: | English |
| Published: |
2023
|
| In: |
Psychology, crime & law
Year: 2023, Volume: 29, Issue: 4, Pages: 408-436 |
| Online Access: |
Volltext (kostenfrei) |
| Journals Online & Print: | Drawer...
|
| Check availability: | HBZ Gateway |
| Keywords: |
| Summary: | A public health approach to countering the threat from extremism aims to manage vulnerability before behaviour escalates to require involvement from the criminal justice system. Fundamental to applying a public health approach is understanding how risk (and protective) factors can be modified, in other words, the functional roles of these factors. To unpack the functional roles of risk factors, a more dynamic approach to modelling the complex relationships between factors is needed. In the present study we surveyed a representative sample of the UK general population (n = 1500) where participants self-reported risk factors and indicators for vulnerability to radicalisation. Operationalising analytical guidance from a Risk Analysis Framework (RAF), we applied psychometric network modelling to visualise the relationships among risk factors relating to individual-level propensities, situational influences, and exposure to extremism-enabling environments. We present our results as a series of network graphs and discuss (a) how risk factors ‘cluster’ or ‘co-occur’, (b) the most influential risk factors which may be important for intervention and prevention, and (c) ‘risk pathways’ which suggest potential putative risk and/or protective factors. We present our findings as evidence for a public health approach to countering the threat from extremism. |
|---|---|
| ISSN: | 1477-2744 |
| DOI: | 10.1080/1068316X.2022.2027944 |