A Systematic Review of Neurodivergence, Vulnerability and Risk in the Context of Violent Extremism, 2021

DOI

This dataset relates to a systematic review examining neurodivergence in the context of violent extremism. The excel spreadsheet provided here is the analysis spreadsheet used for this systematic review, in which we extracted data from included studies. This includes: publication details, key themes, sample information, variables and scales used, analysis information, and identified limitations.This is one of the projects managed under the Centre for Research and Evidence on Security Threats (CREST). This project aims to consolidate best practice in assessing the risk of extremism in individuals. Specifically, this project examines neurodivergence in the context of extremism vulnerability, risk, resilience, and opportunities for risk management.

This research adopted a systematic review approach, based on the PRISMA 2020 guidelines (Page et al., 2021). Documents were identified through a keyword search of relevant electronic databases, after which they were screened for inclusion based on pre-determined eligibility criteria. At each stage, documents that did not match the eligibility criteria were excluded. Relevant themes, methods, sample information, key findings, and document metadata were extracted from documents using a uniform template. The extracted data is provided in this data file.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-856845
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=709a313882dcc445198010acd5c7c1652d02b9bd612a8db5e73dbac9abec9112
Provenance
Creator Salman, N, Lancaster University, UCL; Al-Attar, Z, UCLAn, UCL, Victoria University
Publisher UK Data Service
Publication Year 2023
Funding Reference ESRC
Rights Nadine Salman, Lancaster University, UCL. Zainab Al-Attar, UCLAn, UCL, Victoria University. Stacey Conchie, Lancaster University; The Data Collection is available to any user without the requirement for registration for download/access.
OpenAccess true
Representation
Resource Type Numeric; Text
Discipline Jurisprudence; Law; Psychology; Social and Behavioural Sciences
Spatial Coverage United Kingdom; World Wide