Cited by 54Social and Intergroup PsychologyCognitive Abilities and TestingRacial and Ethnic Identity Research

The Effects of Demographic Variables and Stereotype Threat on Black/White Differences in Cognitive Ability Test Performance

McKay, Patrick F., Doverspike, Dennis, Bowen-Hilton, Doreen, McKay, Quintonia D.·2003·Journal of Business and Psychology

Integrity signals

Registry

Crossref · 10.1023/a:1025062703113

Cites

35 of 35 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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Claims other papers make about this one

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Cites

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1 of the 36 references couldn’t be matched to a known paper.

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Authors
McKay, P. F., Doverspike, D., Bowen-Hilton, D., & McKay, Q. D.
Affiliations
  • University of Wisconsin–Milwaukee (US)
  • University of Akron (US)
  • Palmetto Health Richland (US)
Corresponding author
McKay, Patrick F.
Venue
Journal of Business and Psychology
Published
2003-09
Volume
18
Issue
1
Pages
1-14
ISSN
  • 0889-3268 (ISSN-L)
  • 1573-353X
OpenAlex
W295982043
Cited by
53
References
36
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 4 · 2019: 3 · 2017: 2 · 2016: 1 · 2014: 6 · 2013: 4 · 2012: 4
FWCI
9.11
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Business and Psychology (publishedVersion)
  • DigitalCommons@Fayetteville State University (Fayetteville State University) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
Keywords
stereotype threat, racial differences, African Americans, white people, IQ, paternal education, educational attainment, demographic factors, mediation

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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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