Cited by 149Policing Practices and PerceptionsCrime Patterns and InterventionsCriminal Justice and Penology

Public perceptions of police efficacy and image: The “fuzziness” of support for the police

Worrall, John L.·1999·American Journal of Criminal Justice

Integrity signals

Registry

Crossref · 10.1007/bf02887617

Cites

55 of 55 references verified0 citation errors · 0 not checkable

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  • Some research indicates that females hold more positive attitudes toward law enforcement, although most findings on gender and attitudes toward police are mixed or show no significant gender differences.

    “Some research indicates that females hold more positive attitudes toward law enforcement (Nofziger and Williams 2005), although most findings on gender and attitudes toward police are mixed or show no significant gender differences (see Brown and Reed Benedict 2002;Worrall 1999).”

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Authors
Worrall, J. L.
Affiliations
California State University, San Bernardino (US)
Corresponding author
Worrall, John L.
Venue
American Journal of Criminal Justice
Published
1999-09
Volume
24
Issue
1
Pages
47-66
ISSN
  • 1066-2316 (ISSN-L)
  • 1936-1351
OpenAlex
W2003443629
Cited by
149
References
56
Citations by year
2026: 2 · 2025: 5 · 2024: 2 · 2023: 4 · 2022: 9 · 2021: 9 · 2020: 9 · 2019: 16 · 2018: 5 · 2017: 15 · 2016: 8 · 2015: 8 · 2014: 4 · 2013: 5 · 2012: 10
FWCI
4.08
Type
journal article
Language
en
Open access
closed
Locations
American Journal of Criminal Justice (publishedVersion)
Topics
  • Social Sciences › Political Science and International Relations › Policing Practices and Perceptions
  • Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
  • Social Sciences › Law › Criminal Justice and Penology
Keywords
public support for police, police image, police-community relations, public perception of police, crime prevention, crime solving

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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