Linking police and citizen data: a multilevel analysis on the effects of organizational effectiveness and fairness on procedural justice

Luye Li, Ivan Y Sun, Yuning Wu
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Abstract

PurposePolice procedural justice is essential in shaping police legitimacy and public willingness to cooperate, yet factors that affect police fair treatment of citizens are not fully understood. Using the data of the National Police Research Platform (NPRP), Phase II, this study examines the effects of three key organizational factors (i.e. effective leadership, supervisory justice and department process fairness) on officers’ procedural justice in police stops.Design/methodology/approachInnovatively, this study links police data with citizens’ data and conducts multilevel analyses on the effects of a host of citizen, officer, incident, and, importantly, agency characteristics on officer behaviors during over 5,000 police stops nested within 48 police agencies.FindingsThe results showed that the fairness of the departmental process had a positive effect on officer procedural justice, while the fairness of the supervisor was inversely associated with procedural justice on the street.Originality/valueThe linked data demonstrated that organizational fairness affected street procedure justice.
将警察和公民数据联系起来:关于组织有效性和公平性对程序正义影响的多层次分析
目的:警察程序公正对塑造警察的合法性和公众的合作意愿至关重要,但影响警察公平对待公民的因素尚未完全明了。本研究利用国家警察研究平台(NPRP)第二阶段的数据,研究了三个关键的组织因素(即有效领导、监督公正和部门程序公正)对警察拦截过程中的程序公正的影响。设计/方法/途径本研究创新性地将警察数据与公民数据联系起来,对48个警察机构中的5000多个警察拦截过程中的一系列公民、警察、事件以及重要的机构特征对警察行为的影响进行了多层次分析。研究结果研究结果表明,部门程序的公正性对警官的程序公正性有积极影响,而主管的公正性与街头的程序公正性成反比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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