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Patterns of Collective Desistance from Terrorism [Recurso electrónico] PDF : Fundamental Measurement Challenges

By: Material type: ArticlePublication details: Alex P. Schmid 2016ISSN:
  • 2334-3745
Subject(s): Online resources: In: Perspectives on Terrorism Perspectives on Terrorism . -- Vol. 10 No. 5 (Oct. 2016) 17 p.Summary: To better understand why perpetrator organizations desist from terrorist violence, we must first understand how perpetrator organizations desist from terrorist violence. Here, I aim to improve our empirical understanding of patterns of collective desistance from terrorism in support of a robust research agenda to advance theory and policy on this topic. I discuss two key challenges for empirical analysis of collective desistance from terrorism: operationalization of perpetrator organizations, and operationalization of collective desistance. To illustrate these challenges, I leverage more than 40 years of event data from the Global Terrorism Database among organizations that carried out terrorist attacks between 1970 and 2013. Using descriptive statistics, I critically evaluate the implications of large-N analyses and illustrate their strengths and limitations.
Item type: Analíticas
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Centro de Análisis y Prospectiva de la Guardia Civil Biblioteca Digital Available 2017192
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To better understand why perpetrator organizations desist from terrorist violence, we must first understand how perpetrator organizations desist from terrorist violence. Here, I aim to improve our empirical understanding of patterns of collective desistance from terrorism in support of a robust research agenda to advance theory and policy on this topic. I discuss two key challenges for empirical analysis of collective desistance from terrorism: operationalization of perpetrator organizations, and operationalization of collective desistance. To illustrate these challenges, I leverage more than 40 years of event data from the Global Terrorism Database among organizations that carried out terrorist attacks between 1970 and 2013. Using descriptive statistics, I critically evaluate the implications of large-N analyses and illustrate their strengths and limitations.

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