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Cited by 382

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Representative Bureaucracy in Policing: Does It Increase Perceived Legitimacy?

Riccucci, Norma M., Van Ryzin, Gregg G., Lavena, Cecilia F.·2014·Journal of Public Administration Research and Theory

Abstract

Drawing on the theory of representative bureaucracy, specifically the theory of symbolic representation, we examine whether or not gender representativeness in a police department’s domestic violence unit influences how citizens judge the agency’s performance, trustworthiness, and fairness. To examine this question, we use an online survey experiment in which we vary the representation of female police officers in a hypothetical domestic violence unit as well as the agency’s performance. Results suggest that gender representation does indeed influence the perceived job performance, trustworthiness, and fairness of the agency, as does the agency’s performance. Thus, this study suggests that the symbolic representativeness of the police does causally influence how citizens view and judge a law enforcement agency, and thus in turn perhaps their willingness to cooperate in the coproduction of public safety outcomes.

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Metadata

Authors
Riccucci, N. M., Van Ryzin, G. G., & Lavena, C. F.
Venue
Journal of Public Administration Research and Theory
Published
2014-03-06
Volume
24
Issue
3
Pages
537-551
ISSN
  • 1053-1858 (ISSN-L)
  • 1477-9803
OpenAlex
W2151815313
Cited by
382
References
35
FWCI
97.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Representative Bureaucracy in Policing: Does It Increase Perceived Legitimacy? https://app.cochat.ai/papers/10.1093/jopart/muu006
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Riccucci, N. M., Van Ryzin, G. G., & Lavena, C. F. (2014). Representative Bureaucracy in Policing: Does It Increase Perceived Legitimacy? Journal of Public Administration Research and Theory. https://doi.org/10.1093/jopart/muu006

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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