NCJ Number
253463
Date Published
December 2018
Length
13 pages
Annotation
This is the Final Summary Overview of the findings and methodology of an empirical assessment of the extent to which there are commonalities between the types of individuals who become involved in violent extremist groups and criminal gangs, as well as the processes through which individuals participate in each type of group.
Abstract
The four subject samples in this study involved a quantitative dataset of U.S.-based extremists; a quantitative dataset representative of adolescent and adult U.S. gang members; qualitative life histories of extremists based in the United States; and qualitative interview data from current and former U.S.-based gang members. The comparison of the quantitative dataset generally found clear differences between gang members and domestic extremists. One of the most striking differences between these two samples was the age of initial group involvement. Extremists with a history of gang involvement were, on average, 4 years younger at the age of group involvement compared with extremists without a gang history. Regarding basic demographics, extremists were more likely to be male than the gang sample, which was nearly one-third female. Also, domestic extremists more closely approximated the racial/ethnic composition of the United States at large; gang members, on the other hand, more closely reflected the composition of millennials, another function of the age differences between gang members and extremists. Regarding religious orientation, extremists were more likely to be Muslim or Jewish. Also, extremists had more college experience than gang members and had lower rates of poverty in both childhood and adulthood. Based on the findings of differences and similarities between gang-member and extremist characteristics. various features of interventions to prevent violent gang and terrorist behaviors are discussed. Project-related publications are listed.
Date Published: December 1, 2018
Downloads
Similar Publications
- Understanding and Reducing Deaths in Custody, Interim Report
- Assessment of Sexual Assault Kit (SAK) Evidence Selection Leading to Development of SAK Evidence Machine-Learning Model (SAK-ML Model)
- Immigrant Threat or Institutional Context? Examining Police Agency and County Context and the Implementation of the 287(g) Program