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

Abstract

Purpose

Police 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/approach

Innovatively, 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.

Findings

The 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/value

The linked data demonstrated that organizational fairness affected street procedure justice.

Citation

Li, L., Sun, I. and Wu, Y. (2024), "Linking police and citizen data: a multilevel analysis on the effects of organizational effectiveness and fairness on procedural justice", Policing: An International Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/PIJPSM-01-2024-0004