J. Meloy, Alasdair M. Goodwill, C. Clemmow, P. Gill
{"title":"Time sequencing the TRAP-18 indicators.","authors":"J. Meloy, Alasdair M. Goodwill, C. Clemmow, P. Gill","doi":"10.1037/tam0000157","DOIUrl":null,"url":null,"abstract":"A time sequence analysis is conducted on 125 lone actor terrorists, most of whom mounted attacks in Europe and North America, utilizing the TRAP-18 (Terrorist Radicalization Assessment Protocol), a structured professional judgment instrument with demonstrable interrater reliability and criterion, discriminant, and predictive validity. Both frequency filters (>3) and coefficient filters (>.50) were applied to the data. Results indicate that virtually all distal characteristics, such as criminal violence, mental disorder, and ideology, preceded the proximal warning behaviors, such as pathway, fixation, identification, leakage, last resort, and directly communicated threats. Indicators that were “gatekeepers” and “turning point events” were also identifie d (Taylor et al., 2008). The time sequence analysis further validates the model of the TRAP-18 as a risk instrument for the assessment and management of lone actor terrorist violence. This study applies a terrorist risk assessment instrument, the TRAP-18, to a large sample of lone actor terrorists using time sequence analysis: a method by which indicators of risk are organized in a temporal relationship with one another. It allows counterterrorism investigators to better understand the unfolding of risk indicators over time on the way to a terrorist attack, and helps prioritize the most dangerous cases.","PeriodicalId":217565,"journal":{"name":"Journal of Threat Assessment and Management","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Threat Assessment and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1037/tam0000157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
A time sequence analysis is conducted on 125 lone actor terrorists, most of whom mounted attacks in Europe and North America, utilizing the TRAP-18 (Terrorist Radicalization Assessment Protocol), a structured professional judgment instrument with demonstrable interrater reliability and criterion, discriminant, and predictive validity. Both frequency filters (>3) and coefficient filters (>.50) were applied to the data. Results indicate that virtually all distal characteristics, such as criminal violence, mental disorder, and ideology, preceded the proximal warning behaviors, such as pathway, fixation, identification, leakage, last resort, and directly communicated threats. Indicators that were “gatekeepers” and “turning point events” were also identifie d (Taylor et al., 2008). The time sequence analysis further validates the model of the TRAP-18 as a risk instrument for the assessment and management of lone actor terrorist violence. This study applies a terrorist risk assessment instrument, the TRAP-18, to a large sample of lone actor terrorists using time sequence analysis: a method by which indicators of risk are organized in a temporal relationship with one another. It allows counterterrorism investigators to better understand the unfolding of risk indicators over time on the way to a terrorist attack, and helps prioritize the most dangerous cases.
利用TRAP-18(恐怖分子激进化评估协议),对125名单独行动的恐怖分子进行了时间序列分析,其中大多数人在欧洲和北美发动了袭击,这是一种结构化的专业判断工具,具有可证明的相互信度和标准,判别和预测效度。使用频率滤波器(>3)和系数滤波器(>.50)对数据进行处理。结果表明,犯罪暴力、精神障碍和意识形态等远端特征几乎都先于近端预警行为,如通路、固定、识别、泄漏、最后手段和直接传达威胁。还确定了“看门人”和“转折点事件”的指标(Taylor et al., 2008)。时间序列分析进一步验证了TRAP-18模型作为评估和管理单独行为者恐怖暴力的风险工具。本研究使用时间序列分析,将恐怖主义风险评估工具TRAP-18应用于单个行动者恐怖分子的大样本,时间序列分析是一种将风险指标按彼此的时间关系组织起来的方法。它使反恐调查人员能够更好地了解恐怖袭击过程中风险指标随时间的变化,并有助于优先处理最危险的案件。