Cited by 159Social and Intergroup PsychologyRacial and Ethnic Identity ResearchNeural and Behavioral Psychology Studies

Toward a comprehensive understanding of executive cognitive function in implicit racial bias.

Open access
Ito, Tiffany A., Friedman, Naomi P., Bartholow, Bruce D., Correll, Joshua, Loersch, Chris, Altamirano, Lee J., Miyake, Akira·2015·Journal of Personality and Social Psychology

Abstract

Although performance on laboratory-based implicit bias tasks often is interpreted strictly in terms of the strength of automatic associations, recent evidence suggests that such tasks are influenced by higher-order cognitive control processes, so-called executive functions (EFs). However, extant work in this area has been limited by failure to account for the unity and diversity of EFs, focus on only a single measure of bias and/or EF, and relatively small sample sizes. The current study sought to comprehensively model the relation between individual differences in EFs and the expression of racial bias in 3 commonly used laboratory measures. Participants (N = 485) completed a battery of EF tasks (Session 1) and 3 racial bias tasks (Session 2), along with numerous individual difference questionnaires. The main findings were as follows: (a) measures of implicit bias were only weakly intercorrelated; (b) EF and estimates of automatic processes both predicted implicit bias and also interacted, such that the relation between automatic processes and bias expression was reduced at higher levels of EF; (c) specific facets of EF were differentially associated with overall task performance and controlled processing estimates across different bias tasks; (d) EF did not moderate associations between implicit and explicit measures of bias; and (e) external, but not internal, motivation to control prejudice depended on EF to reduce bias expression. Findings are discussed in terms of the importance of global and specific EF abilities in determining expression of implicit racial bias.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1037/a0038557

Cites

138 of 139 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • When a higher-order common factor is used to model the correlations among response inhibition, working memory updating, and mental set shifting, that common factor almost perfectly predicts the inhibition factor, but there is significant variance in the updating and shifting factors that is not related to the common factor.

    “When a higher-order common factor is used to model the correlations among response inhibition, working memory updating, and mental set shifting (see Fig. 3b), that common factor almost perfectly predicts the inhibition factor [37, 38, 157, 158], but there is significant variance in the updating and shifting factors that is not related to the common factor.”

    From The role of prefrontal cortex in cognitive control and executive function (2022) · cites this paper as [38]

    Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • When the correlated factors model is re-parameterized into a bifactor model, there are updating-specific and shifting-specific factors, but there is no evidence for a response inhibition-specific factor.

    “Similarly, when the correlated factors model is re-parameterized into a bifactor model (see Fig. 3c), there are updating-specific and shifting-specific factors, but there is no evidence for a response inhibition-specific factor [37, 38, 157].”

    From The role of prefrontal cortex in cognitive control and executive function (2022) · cites this paper as [38]

    The Results and Discussion, under Preliminary Analyses (page unavailable), report Common EF, Updating-specific, and Shifting-specific factors and no evidence for an Inhibition-specific factor. The Current Study section also explains why inhibition is represented by Common EF. Our copy does not describe this as a re-parameterization of a correlated factors model into a bifactor model. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • Psychometric latent variable studies show that unity and diversity of cognitive control is evident across samples and ages, although some studies suggest more unity (higher correlations between factors) in early childhood.

    “Since that initial study, this psychometric latent variable approach has been used in a large number of studies to show that unity and diversity of CC is evident across samples and ages (e.g., [34–41]), although there are some studies that suggest more unity (higher correlations between factors) in early childhood [35, 42–44].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Cohen J Cohen P 1984 Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences 2 Psychology Press
  2. Satorra A Bentler PM 2010 Ensuring positiveness of the scaled difference chi-square test statistic Psychometrika 75 243 248 20640194 PMC2905175

Cited by

Sorted by citations

Authors
Ito, T. A., Friedman, N. P., Bartholow, B. D., Correll, J., Loersch, C., Altamirano, L. J., & Miyake, A.
Affiliations
  • University of Colorado Boulder (US)
  • University of Missouri (US)
Venue
Journal of Personality and Social Psychology
Published
2015-02
Volume
108
Issue
2
Pages
187-218
ISSN
  • 0022-3514 (ISSN-L)
  • 1939-1315
OpenAlex
W2158144941
Cited by
159
References
137
Citations by year
2026: 8 · 2025: 8 · 2024: 15 · 2023: 16 · 2022: 11 · 2021: 13 · 2020: 19 · 2019: 22 · 2018: 16 · 2017: 15 · 2016: 11 · 2015: 3 · 2014: 1 · 2013: 1
FWCI
49.76
Type
journal article
Language
en
Open access
Locations
  • Journal of Personality and Social Psychology (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Science Foundation (BCS 0847872)
  • National Institutes of Health (MH063207)
Topics
  • Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
  • Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
implicit racial bias, executive function, cognitive control, automatic associations, individual differences, explicit bias, controlled processing, extrinsic motivation
MeSH terms
Adolescent, Adult, Association, Dangerous Behavior, Female, Humans, Individuality, Inhibition, Psychological, Internal-External Control, Male, Memory, Short-Term, Models, Psychological, Pattern Recognition, Visual, Surveys and Questionnaires, Saccades, Set, Psychology, Black People, White People, Young Adult, Executive Function, Racism

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review