Cited by 187Criminal Justice and Corrections AnalysisCriminal Justice and PenologyEducation Discipline and Inequality

Difference, Disparity, and Race/Ethnic Bias in Federal Sentencing

Everett, Ronald S., Wojtkiewicz, Roger A.·2002·Journal of Quantitative Criminology

Integrity signals

Registry

Crossref · 10.1023/a:1015258732676

Cites

46 of 46 references verified0 citation errors · 0 not checkable

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  • Everett & Wojtkiewicz (2002) found that Native Americans were more likely to be imprisoned than whites, especially for violent crimes.

    “Everett & Wojtkiewicz (2002) found that Native Americans were more likely to be imprisoned than whites, especially for violent crimes.”

    From Criminal Justice in Indian Country: A Theoretical and Empirical Agenda (2019) · cites this paper as Everett & Wojtkiewicz (2002)

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Authors
Everett, R. S., & Wojtkiewicz, R. A.
Affiliations
  • National Institute of Justice (US)
  • Ball State University (US)
Corresponding author
Wojtkiewicz, Roger A.
Venue
Journal of Quantitative Criminology
Published
2002-06
Volume
18
Issue
2
Pages
189-211
ISSN
  • 0748-4518 (ISSN-L)
  • 1573-7799
OpenAlex
W11221521
Cited by
187
References
50
Citations by year
2026: 2 · 2025: 8 · 2024: 6 · 2023: 3 · 2022: 13 · 2021: 9 · 2020: 4 · 2019: 12 · 2018: 5 · 2017: 8 · 2016: 7 · 2015: 10 · 2014: 11 · 2013: 11 · 2012: 10
FWCI
5.20
Type
journal article
Language
en
Open access
closed
Locations
Journal of Quantitative Criminology (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Criminal Justice and Corrections Analysis
  • Social Sciences › Law › Criminal Justice and Penology
  • Social Sciences › Education › Education Discipline and Inequality
Keywords
federal sentencing, sentencing guidelines, racial disparities, ethnic disparities, racial bias, African Americans, Hispanic Americans, Native Americans, attribution theory, uncertainty avoidance, conflict theory, criminal justice

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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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