Does a rising tide lift all boats

Evidence from a multicity randomized trial of procedural justice in hot spots policing

Dados Bibliográficos

ID9681370
AutoresDavid Weisburd (0000-0003-3778-5190, Department of Criminology, Law and Society George Mason University Fairfax Virginia USA, autor correspondente), Cody W Telep (0000-0002-5558-8353, School of Criminology and Criminal Justice Arizona State University Phoenix Arizona USA), Kiseong Kuen (0000-0001-9590-910X, School of Criminology and Criminal Justice Griffith University Southport Australia), Taryn Zastrow (0000-0002-3261-6526, Department of Criminology, Law and Society George Mason University Fairfax Virginia USA)
Ano2026
Volume64
Fascículo1
Páginas207-218
Data de publicação2026-02-01
Open AccessSim
TipoARTICLE
PeriódicoCriminology (JOURNAL)
Identificadores do periódicoISSN: 0011-1384 • E-ISSN: 1745-9125
EditoraWiley (PUBLISHER • GB)
DOI10.1111/1745-9125.70025
OpenAlexW4416986508
IdiomaEN
Citações recebidas2
Referências citadas34

A recent multicity procedural justice (PJ) training experiment at crime hot spots showed that police could be trained to behave in procedurally just ways, and that this behavioral change could lead to reductions in arrests, improved citizen evaluations of the police, and decreases in crime. In this paper, we extend analyses of the original study to identify whether improvements in PJ behavior in interactions with citizens were conditioned by race/ethnicity. Simply stated, do the improvements apply to all racial/ethnic groups, like a rising tide that lifts all boats, or do the benefits of the training program accrue inequitably across groups? Using systematic social observations of officer interactions with citizens, and mixed‐effects regression models that controlled for possible selection biases by officers, we do not find evidence of significant differing impacts across the groups. In concluding, we argue that PJ training for hot spots policing officers is a promising approach to increasing PJ in interactions across racial/ethnic groups

Criminal justice · Economic Justice · Lift (data mining · Officer · Procedural justice · Randomized controlled trial · Randomized experiment · Selection (genetic algorithm · Crime Patterns and Interventions · Criminal Justice and Corrections Analysis · Policing Practices and Perceptions

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