A Systematic Review and Meta-Analysis of Procedural Justice and Legitimacy in Policing: The Effect of Social Identity and Social Contexts, 1991-2022

Chan, Angus (2023). A Systematic Review and Meta-Analysis of Procedural Justice and Legitimacy in Policing: The Effect of Social Identity and Social Contexts, 1991-2022. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-856796

Data description (abstract)

The main objective of this research was to systematically review the effect of social identity and social contexts on the association between procedural justice and legitimacy in policing. To achieve this a meta-analysis method has been employed, synthesizing data from 123 studies (N = 200,966) addressing the relationship between procedural justice and legitimacy in policing. Random-effects univariate and two-stage structural equation modelling meta-analyses were performed. The study concluded that both procedural justice and social identity are found to be significantly correlated with police legitimacy. Moreover, social identity significantly mediates, but does not moderate, the association between procedural justice and legitimacy. People of younger age and from more developed countries tend to correlate procedural justice stronger with police legitimacy. This study demonstrates that social identity is an important antecedent of legitimacy and a critical factor in the dynamics of procedural fairness in policing. It also shows that the extent to which procedural justice and legitimacy are correlated varies across social groups and contexts. The theoretical implications of our findings are discussed.

Data creators:
Creator Name Affiliation ORCID (as URL)
Chan Angus University College London https://orcid.org/0000-0002-3296-3552
Sponsors: N/A
Topic classification: Law, crime and legal systems
Psychology
Keywords: POLICING, CRIMINAL JUSTICE SYSTEM, SOCIAL IDENTITY, POPULATION DYNAMICS, LAW AND JUSTICE
Project dates:
FromTo
1 February 202230 November 2022
Date published: 20 Nov 2023 11:28
Last modified: 20 Nov 2023 11:29

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