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Examining the Validity of Traffic Stop Data: A Mixed-Methods Analysis of Police Officer Compliance
Police Quarterly ( IF 2.9 ) Pub Date : 2020-06-25 , DOI: 10.1177/1098611120933644
Joshua Chanin 1 , Megan Welsh 1
Affiliation  

Police departments rely on administrative rules to set organizational priorities and establish systems of accountability. To that end, several departments require officers to submit data describing every traffic stop they conduct as a way of tracking officer activity and identifying any race-based disparities. This paper draws on an analysis of San Diego Police Department traffic stop records, as well as officer survey and interview data, to examine the validity of the traffic stop data gathered and the compliance-related motivations of officers. Findings indicate a 19 percent error rate in stop data submitted between 2014 and 2015, amidst evidence of substantial underreporting. Qualitative data suggest that officers see the policy as redundant and an infringement on more pressing aspects of their job. They doubt the ability of external stakeholders to interpret the data objectively and report a loss of morale, largely attributed to the perception that their actions are inaccurately racialized.



中文翻译:

检查交通停止数据的有效性:警务人员合规性的混合方法分析

警察部门依靠行政规则确定组织优先级并建立问责制。为此,几个部门要求官员提交数据,描述他们进行的每个交通停车,以跟踪官员的活动并识别任何基于种族的差异。本文通过对圣地亚哥警察局交通停车记录以及军官调查和访谈数据的分析,以检查收集的交通停车数据的有效性以及与警务人员合规相关的动机。调查结果表明,在2014年至2015年之间提交的止损数据中,有19%的错误率,其中有证据表明报告严重不足。定性数据表明,官员们认为该政策是多余的,并且侵犯了其工作中更为紧迫的方面。

更新日期:2020-06-25
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