Vukčević Marković Maša, Nicović Aleksandra, Živanović Marko
Department of Psychology, Institute of Psychology and Laboratory for the Research of Individual Differences, Faculty of Philosophy, University of Belgrade, Belgrade, Serbia.
PIN-Psychosocial Innovation Network, Belgrade, Serbia.
Front Psychol. 2021 Feb 10;12:622571. doi: 10.3389/fpsyg.2021.622571. eCollection 2021.
The present study aims to identify contextual and psychological factors of proneness to radicalization and violent extremism (RVE) operationalized through the Militant Extremist Mindset scale (MEM) consisting of three distinct aspects: (PV), (VW), and (DP). A community sample of 271 high school students (72% females) from Belgrade and Sandžak regions in Serbia completed: (1) a 24-item MEM scale; (2) contextual measures including a 6-item scale of (FDys) and a 4-item composite measure capturing exposure to a harsh school environment and peer abuse (HSE); (3) psychological measures including the 9-item scale (RWA), the 5-item scale (SDO), and the 20-item scale (LON). A path analysis was conducted with contextual factors on the first and psychological factors on the second level of the model predicting the three factors of MEM. LON was positively predicted by FDys and HSE, SDO by HSE only, while RWA was positively predicted by FDys only. Contextual and psychological factors accounted for 27% of the variance in PV (LON, SDO), 15% of the variance in VW (FDys, SDO), and 31% of the variance in DP (RWA). Obtained findings reveal a complex interplay of contextual and psychological drivers in the prediction of different aspects of RVE and build upon existing knowledge on risk factors associated with RVE.
本研究旨在确定通过激进极端主义心态量表（MEM）实施的激进化和暴力极端主义（RVE）倾向的背景和心理因素，该量表由三个不同方面组成：（PV）、（VW）和（DP）。来自塞尔维亚贝尔格莱德和桑扎克地区的271名高中生（72%为女性）的社区样本完成了：（1）一个包含24个条目的MEM量表；（2）背景测量，包括一个包含6个条目的（FDys）量表和一个包含4个条目的综合测量，用于衡量接触恶劣学校环境和同伴虐待的情况（HSE）；（3）心理测量，包括9个条目的（RWA）量表、5个条目的（SDO）量表和20个条目的（LON）量表。进行了路径分析，其中模型的第一层次为背景因素，第二层次为心理因素，用于预测MEM的三个因素。LON由FDys和HSE正向预测，SDO仅由HSE正向预测，而RWA仅由FDys正向预测。背景和心理因素分别解释了PV（LON、SDO）中27%的变异、VW（FDys、SDO）中15%的变异以及DP（RWA）中31%的变异。所得结果揭示了背景和心理驱动因素在预测RVE不同方面时的复杂相互作用，并基于与RVE相关的风险因素的现有知识。
