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The next threat: A predictive analysis of the continuity of terrorist organizations.

机译:下一个威胁:对恐怖组织连续性的预测分析。

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摘要

This study examines the predictive modeling of the survivability of terrorist organizations that will increase the ability of intelligence specialists to make threat assessments. This predictive model will be based on a logistic regression of 50 active and 50 non-active terrorist organizations to determine the probability that a group will become inactive, using the profile characteristics of the groups in conjunction with social, economic and demographic variables.; Applied research is vital to understanding the motivations and characteristics of terrorist groups and should be used to supplement strategic research and international phenomena (Kratcoski, 2001). The research and analysis for this paper was conducted on the premise that the rendering of terrorist groups to a non-operational status can be predicted or facilitated based on a certain set of variables. This research will focus on evaluating the grass root causes or what will be referred to as the ecological conditions that influence both the development and deterioration of terrorist movements in addition to the profile characteristics of these organizations.; Data on the terrorist organizations for this study were collected over a ten-year period from August 1992 to August 2002. Data collection entailed daily visits to websites for news, government and non-governmental organization (NGOs) reports and also literature from printed books, monographs and journals. The websites of larger think tanks were checked on a weekly basis for any newly released reports. Relevant information was recorded in an Access database for later retrieval and transferal to Microsoft Word and an SPSS (statistical package for the social sciences) database. Data on the regional economic, political and social conditions was collected from the Central Intelligence Agency's World Factbook 2001.
机译:这项研究检查了恐怖组织生存能力的预测模型,该模型将提高情报专家进行威胁评估的能力。该预测模型将基于50个活跃和50个非活跃恐怖组织的逻辑回归,结合群体的个人资料特征,社会,经济和人口统计学变量,确定一个群体不活跃的可能性。应用研究对于理解恐怖分子的动机和特征至关重要,应被用来补充战略研究和国际现象(Kratcoski,2001)。本文的研究和分析是在这样的前提下进行的,即可以基于一组变量来预测或促进使恐怖组织处于非作战状态。除这些组织的形象特征外,这项研究将集中于评估影响恐怖活动发展和恶化的草根原因或所谓的生态条件。从1992年8月到2002年8月这十年间,收集了用于该研究的恐怖组织的数据。收集数据需要每天访问新闻,政府和非政府组织(NGOs)报告以及印刷书籍中的文献的网站,专着和期刊。每周都会检查大型智库的网站是否有新发布的报告。相关信息记录在Access数据库中,以便以后检索和传输到Microsoft Word和SPSS(社会科学统计软件包)数据库。有关区域经济,政治和社会状况的数据是从中央情报局的《 2001年世界概况》中收集的。

著录项

  • 作者

    Hill, Sean David.;

  • 作者单位

    Sam Houston State University.;

  • 授予单位 Sam Houston State University.;
  • 学科 Political Science International Law and Relations.; Sociology Criminology and Penology.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 467 p.
  • 总页数 467
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 国际法;法学各部门;
  • 关键词

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