Significance Quest: A Meta-Analysis on the Association Between the Variables of the 3N Model and Violent Extremism.

Autor:	Da Silva C; Université de Lille, Villeneuve-d'Ascq, France., Trottier D; Université du Québec en Outaouais, Gatineau, Canada.; National Institute of Forensic Psychiatry Philippe-Pinel, Montreal, QC, Canada., Amadio N; Université de Strasbourg, Strasbourg, France., Domingo B; Université de Toulouse 1 Capitole, Toulouse, France.; Fondation Maison des Sciences de l'Homme, Paris, France., Sarg R; Université de Lorraine, Metz, France., Benbouriche M; Université de Lille, Villeneuve-d'Ascq, France.; National Institute of Forensic Psychiatry Philippe-Pinel, Montreal, QC, Canada.
Jazyk:	angličtina
Zdroj:	Trauma, violence & abuse [Trauma Violence Abuse] 2024 Apr; Vol. 25 (2), pp. 1184-1200. Date of Electronic Publication: 2023 Jun 05.
DOI:	10.1177/15248380231176056
Abstrakt:	Given the pervasiveness of violent extremism all over the globe, understanding its psychological underpinnings is key in the fight against it. According to the Significance Quest Theory and its 3N model, violent extremism (i.e., violent and deviant behavior) is a function of three elements: need, narrative, and network. In the present meta-analysis, to put into test the theory and its model, we aimed to establish the strength of the association between these three elements, as well as the quest for significance itself, and violent extremism; and investigate if these associations are influenced by methodological decisions (i.e., sampling and measurements/manipulations). A literature search was performed through electronic platforms, a call for unpublished or in-press data, and backward snowballing. Seventeen reports, comprising 42 studies, met full inclusion criteria: quantitative studies based on primary data assessing for the association of at least one of the 3Ns, or quest for significance, and violent extremism, and providing sufficient data for effect size extraction. Findings are reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA) guidelines. Random-effect meta-analyses rendered statistically significant pooled effect sizes in all the investigated associations. The association is strong for quest for significance, moderate for narrative and network, and low for need for significance. Subgroup analyses demonstrate that the detection of these associations is influenced by methodological decisions concerning the measurements and manipulations, but not by those concerning the sampling. We discuss these findings and suggest future research directions aiming to improve the predictive power of the theory and its model. Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Databáze:	MEDLINE
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