Predicting trust in police: the impact of instrumental and expressive concerns in street-identified Black-American men and women
Policing: An International Journal
ISSN: 1363-951X
Article publication date: 27 October 2020
Issue publication date: 4 November 2020
Abstract
Purpose
While the past few decades have witnessed a substantial number of studies on public attitudes toward the police, a relatively thin line of inquiry has focused exclusively on low income urban Black-Americans, and especially street-identified Black populations. The purpose of this paper, however, is to examine trust in police amongst street-identified Black men and women.
Design/methodology/approach
Relying on a street participatory action research methodological approach, the authors collected survey data (N = 520) from two low-income unban Black neighborhoods, to examine the effects of an instrumental model versus an expressive model on procedural- and outcome-based trust in police.
Findings
The findings suggested a community sample of street-identified Black men and women were able to differentiate between procedural- and outcome-based trust. The instrumental model was better in predicting procedural-based trust in police, while the expressive model accounted better for outcome-based trust in police.
Research limitations/implications
Implications for street participatory action research methodology, future research and policy are also discussed.
Originality/value
This paper is an original manuscript.
Keywords
Acknowledgements
Funding: This study was funded by the: (1) American Recovery Reinvestment Act (2009 Delaware State Block Grant); (2) United Way of Delaware; and (3) University of Delaware (Provost Office).
Citation
Chambers, D.L., Payne, Y.A. and Sun, I. (2020), "Predicting trust in police: the impact of instrumental and expressive concerns in street-identified Black-American men and women", Policing: An International Journal, Vol. 43 No. 6, pp. 917-933. https://doi.org/10.1108/PIJPSM-01-2020-0012
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited