Psychometric Analysis of the Factors Driving the Community to Violent Extremism in Pakistan: Developing Resilience by “Cause and Act” Response Plan

Abstract

Surgery to clinging factors creating pain is very necessary. Suppression and deprivation of fundamental rights give rise to core psychological unrest and anti-social outbursts. Violent Extremism (VE) in any society needs a comprehensive counter-action plan to develop resilience in the social order before landing into the worst situation. Psychometric analysis of the factors driving communities to VE is necessitated to develop a resilience plan. As a result of the psychometric analysis, response to every VE indicator and the root cause is developed with feasibility analysis. The survey covers 12 districts in three fragmented zones of Punjab, Pakistan to get a great variety of data i.e., North, Central, and South Punjab (4 districts from each zone). It is earnest to develop a clear evidence-based strategy to prevent the spread and growth of violent extremism; a strategy that addresses the root causes of violent extremism in each unique context. For this purpose, correlation analysis is performed of extracted psychological factors driving the community to violent extremism. Most correlated factors were then analysed under multiple regression analysis to measure the impact range. Psychometric analysis is conducted on these statistically analysed factors for detailed policy plan formation. “Cause and Act” response policy plan is developed to give research a new dimension and quantum solution to VE countering and law-enforcement agencies. This policy plan provides a feasible action plan and recommendation for policymakers and law enforcement agencies intending to develop resilience among the victim communities.

Presenters

Sehrish Qayyum
Academic Advisor, Research Wing, PNWC, Punjab, Pakistan

Details

Presentation Type

Focused Discussion

Theme

Religious Community and Socialization

KEYWORDS

Correlation analysis, Violent Extremism, VE Indicators, MBTI, Psychometric analysis