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Using Interval-Level Metrics to Investigate Situational-, Suspect-, and Officer-Level Predictors of Police Performance During Encounters With the Public
Police Quarterly ( IF 2.9 ) Pub Date : 2019-06-27 , DOI: 10.1177/1098611119857559
Lois James 1 , Stephen James 2 , Rachel Davis 1 , Elizabeth Dotson 2
Affiliation  

The issue of how to measure the impact of situational-, suspect-, and officer-level factors on police actions has long been debated in the policing literature. One promising method is to use interval-level metrics developed via a combined method of concept mapping and Thurstone scaling. Our objective here was to use these metrics to score 667 incident reports from a large (n ∼ 1,500) urban police department. From this process, we explored significant trends in how police officers perform during encounters with the public. We found that officers performed better in “higher stakes” encounters and excelled in vigilance situational assessment as well as use of tactics and adapting tactics. Officers tended to receive the worst scores in routine police–citizen interactions and the highest in crisis encounters. Interpretation and implications of these findings for American policing are discussed.

中文翻译:

使用时间间隔级别的指标调查与公众相遇期间警察绩效的情景,可疑和官员级别的预测因素

在警务文献中,如何衡量情境,嫌疑人和军官级别因素对警察行动的影响的问题一直存在争议。一种有前途的方法是使用通过概念映射和Thurstone缩放组合方法开发的区间级别度量。我们在这里的目标是使用这些指标对一个大型(约1,500个)城市警察部门的667个事件报告进行评分。从这个过程中,我们探索了警务人员在与公众相遇时的表现的重要趋势。我们发现,人员在“较高风险”遭遇中表现更好,并且在警惕态势评估以及使用战术和调整战术方面表现出色。在常规的警民互动中,军官的得分往往最差,在遭遇危机时得分最高。
更新日期:2019-06-27
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