Cited by 144Social and Intergroup PsychologyCultural Differences and ValuesEvolutionary Psychology and Human Behavior

The DOI matches its Crossref record; 55 of the 59 references it cites were found in a registry or an index; none of the 37 sources its claims cite is checked for support yet.

Ecological and cultural factors underlying the global distribution of prejudice

Open access

Abstract

Prejudiced attitudes and political nationalism vary widely around the world, but there has been little research on what predicts this variation. Here we examine the ecological and cultural factors underlying the worldwide distribution of prejudice. We suggest that cultures grow more prejudiced when they tighten cultural norms in response to destabilizing ecological threats. A set of seven archival analyses, surveys, and experiments (∑N = 3,986,402) find that nations, American states, and pre-industrial societies with tighter cultural norms show the most prejudice based on skin color, religion, nationality, and sexuality, and that tightness predicts why prejudice is often highest in areas of the world with histories of ecological threat. People's support for cultural tightness also mediates the link between perceived ecological threat and intentions to vote for nationalist politicians. Results replicate when controlling for economic development, inequality, conservatism, residential mobility, and shared cultural heritage. These findings offer a cultural evolutionary perspective on prejudice, with implications for immigration, intercultural conflict, and radicalization.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Seven archival, survey, and experimental studies (∑N = 3,986,402) find that cultures with tighter norms show more prejudice across nations, US states, and pre-industrial societies, and that ecological threat predicts prejudice through cultural tightness. The authors argue this offers a cultural evolutionary account of prejudice and nationalist political support.

Key findings

  • Across 25 current-day nations, nation-level cultural tightness predicted prejudice, b = .05, SE = .02, t = 3.25, p = .004, R²level 2 = .30, controlling for GDP per capita, GINI, and WVS wave; tightness also predicted each prejudice indicator, including immigrants, OR = 1.18, p < .001, and unmarried cohabitants, OR = 1.38, p < .001.
  • Across the 50 US states, tightness predicted explicit prejudice, b = .02, SE = .003, t = 7.19, p < .001, R²level 2 = .64, controlling for income, conservatism, and residential mobility; conservatism’s effect was nullified when tightness was included. Tightness also predicted implicit prejudice, b = .002, SE = .001, t = 3.82, p < .001, R² = .11.
  • Across 47 pre-industrial societies, tightness predicted prejudice, b = .85, SE = .28, t = 2.98, p = .005, R²level 1 = .09, controlling for shared language family and residential mobility.
  • Threat-to-tightness-to-prejudice mediation replicated across studies; in Study 5, experimentally salient ecological threat increased support for tightness, F(2,1046) = 5.18, p = .006, and support for tightness predicted prejudice, b = .06, SE = .02, t = 2.37, p = .01. In Studies 6–7, threat predicted intention to vote for Donald Trump and Marine Le Pen via tightness and prejudice, with significant serial indirect effects and no significant direct effects.

Methods

  • Seven studies combined archival analyses, surveys, and an experiment: Study 1 used 117,157 individuals from 25 countries in the World Values Survey; Study 2 used 11,577 individuals from the 50 US states in the General Social Survey; Study 3 used 3,855,737 US residents from Project Implicit (2002–2016); Study 4 used 47 Standard Cross-Cultural Sample societies; Study 5 was an experiment with 1,049 participants from Singapore, Germany, the USA, and Brazil; Studies 6–7 surveyed 562 Americans during the 2016 primary and 320 French respondents before the 2017 election.
  • Measures included prejudice indices (e.g., unwillingness to live near stigmatized groups, opposition to relatives marrying minority groups, implicit association tests, cross-cultural hostility/violence codes, and survey prejudice items), cultural tightness (nation and state scores, ethnographic coding across six domains, and individual support-for-tightness scales), and ecological threat indices (e.g., population density, food deprivation, disease, disaster, conflict, parasite stress, resource scarcity, famine, warfare, and perceived threats).
  • Analyses used multilevel models with random intercepts across nations, states, language families, or participants’ states; controls included economic development, inequality, conservatism, residential mobility, and shared cultural heritage; mediation was tested with Monte Carlo simulations, plus ANOVA, regression, and serial mediation path models.

Limitations

  • The paper states that its correlational studies do not show that tightness causes prejudice, that tightness is not the only cultural factor linked with prejudice, and that the authors did not see evidence of mutual influence/feedback between tightness and prejudice; they call for longitudinal, time-series, and phylogenetic work.
  • Evident from the text: mediation analyses are largely cross-sectional or correlational, and Study 5 notes that measuring a mediator cannot establish a causal relationship on an outcome variable.
  • Evident from the text: Study 3 relies on Project Implicit users who freely take implicit association tests, so that sample is not a probability sample; Study 4 uses ethnographic codes assigned by trained research assistants.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0221953

Cites

55 of 55 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig 1 The relationship between cultural tightness and prejudice. Prejudice has been standardized in this figure. Prejudice is operationalized through the refusal to live next to individuals from seven commonly stigmatized groups.
Fig 1 The relationship between cultural tightness and prejudice. Prejudice has been standardized in this figure. Prejudice is operationalized through the refusal to live next to individuals from seven commonly stigmatized groups.CC BY · PubMed Central
Fig 2 The relationship between cultural tightness and prejudice. Prejudice has been standardized in this figure. Prejudice is operationalized through the intolerance of a close relative marrying Black, Asian, Hispanic, and Jewish individuals.
Fig 2 The relationship between cultural tightness and prejudice. Prejudice has been standardized in this figure. Prejudice is operationalized through the intolerance of a close relative marrying Black, Asian, Hispanic, and Jewish individuals.CC BY · PubMed Central
Fig 3 The relationship between cultural tightness and implicit prejudice. Implicit prejudice has been standardized in this figure.
Fig 3 The relationship between cultural tightness and implicit prejudice. Implicit prejudice has been standardized in this figure.CC BY · PubMed Central
Fig 4 The sample of societies in Study 4. Each node represents a society. Societies are shaded based on their cultural tightness quartile such that the loosest societies are blue and the tightest societies are red.
Fig 4 The sample of societies in Study 4. Each node represents a society. Societies are shaded based on their cultural tightness quartile such that the loosest societies are blue and the tightest societies are red.CC BY · PubMed Central
Fig 5 A serial mediation path model showing the effects of threat on intention to vote for Donald Trump (above) and Marine LePen (below) via support for cultural tightness and prejudice. All effects have been standardized so they can be interpreted as effect sizes. Single-starred associations are significant at the p < .05 level; double-starred associations are significant at the p < .005 level. The X-Y path inside the parentheses is the total effect, whereas the effect outside parentheses is the direct effect.
Fig 5 A serial mediation path model showing the effects of threat on intention to vote for Donald Trump (above) and Marine LePen (below) via support for cultural tightness and prejudice. All effects have been standardized so they can be interpreted as effect sizes. Single-starred associations are significant at the p < .05 level; double-starred associations are significant at the p < .005 level. The X-Y path inside the parentheses is the total effect, whereas the effect outside parentheses is the direct effect.CC BY · PubMed Central

Verification

Claims the paper makes

70 Own result · 17 Own method · 16 Not checked yet · 13 Own interpretation · 3 No basis given

Verify all 37 references — free account

Show all 86 claims

  • It may state two separate claims as one. 19
  • Probably not a substantial claim. 16
33 of 33
  • The paper relies on this without support.

    The 10 incomplete statements measure support for cultural tightness.

    “All participants were then prompted to endorse an ending to 10 incomplete statements concerning their support for cultural tightness.”
  • The paper relies on this without support.

    The 2016 US and 2017 French election cycles featured candidates who advocated policies restricting minority groups.

    “We chose these election cycles because they featured candidates who advocated policies that put restrictions on minority groups.”
  • The paper relies on this without support.

    The mediation analyses assume no unmeasured confounding of the mediator-outcome relationship.

    “As predicted, support for cultural tightness mediated the association between perceived threat and prejudice amongst Americans, 95% CIs [.02, .08], and French participants, 95% CIs [.12, .42].”
  • The paper relies on this without support.

    The voting intention measure is a valid indicator of actual voting behavior.

    “asked participants who they planned to vote for in the upcoming election.”
4 of 4

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Consistentz = 2.92reported p = .004 · recomputed p = .004

    “z = 2.92, p = .004”

  • Consistentz = 3.81reported p < .001 · recomputed p < .001

    “z = 3.81, p < .001”

  • Consistentz = 2.01reported p = .04 · recomputed p = .044

    “z = 2.01, p = .04”

  • Consistentz = 2.14reported p = .03 · recomputed p = .032

    “z = 2.14, p = .03”

  • Consistentz = 4.17reported p < .001 · recomputed p < .001

    “z = 4.17, p < .001”

  • Consistentz = 6.17reported p < .001 · recomputed p < .001

    “z = 6.17, p < .001”

  • ConsistentF(2, 1046) = 5.18reported p = .006 · recomputed p = .006

    “F(2,1046) = 5.18, p = .006”

  • Consistentz = 2.68reported p = .007 · recomputed p = .007

    “Z = 2.68, p = .007”

  • Consistentz = 4.83reported p < .001 · recomputed p < .001

    “Z = 4.83, p < .001”

  • Consistentz = 6.57reported p < .001 · recomputed p < .001

    “Z = 6.57, p < .001”

  • Consistentz = 2.37reported p = .02 · recomputed p = .018

    “Z = 2.37, p = .02”

  • Consistentz = 5.95reported p < .001 · recomputed p < .001

    “Z = 5.95, p < .001”

  • Consistentz = 6.96reported p < .001 · recomputed p < .001

    “Z = 6.96, p < .001”

13 of 13

Self-check

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

Each contradiction between two passages listed here was confirmed by an independent check.

4 of 4

Citations

Cites

Show all 59 references

Research works printed but not linked: 9

  1. A. Tartar, 2017, How the Populist Right is Redrawing the Map of Europe, Bloomberg
  2. JF Dovidio, 1986, Academic Press
  3. L Greenfeld, 2012, Nationalism. The Wiley‐Blackwell Encyclopedia of Globalization
  4. RA LeVine, 1972, Ethnocentrism: theories of conflict, ethnic attitudes, and group behavior
  5. J Califa Antonio, 1989, Declaring English the Official Language: Prejudice Spoken Here, Harv. CR-CLL Rev, 24, 293
  6. P Turchin, 2015, Ultrasociety: How 10,000 years of war made humans the greatest cooperators on earth
  7. M Gelfand, 2017, The Cultural Fault Line That Is Reshaping Global Politics, Scientific American
  8. CR Ember, 2009, Cross-Cultural Research Methods Rowman Altamira, Lanham, MD
  9. H Lang, 1998, CONAN: An electronic code-text data-base for cross-cultural studies., World Cultures, 9, 13

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Metadata

Authors
Jackson, J. C., van Egmond, M., Choi, V. K., Ember, C. R., Halberstadt, J., Balanovic, J., Basker, I. N., Boehnke, K., Buki, N., Fischer, R., Fulop, M., Fulmer, A., Homan, A. C., van Kleef, G. A., Kreemers, L., Schei, V., Szabo, E., Ward, C., & Gelfand, M. J.
Affiliations
  • University of North Carolina at Chapel Hill (US)
  • University of Maryland, College Park (US)
  • Yale University (US)
  • University of Otago (NZ)
  • Victoria University of Wellington (NZ)
  • Norwegian School of Economics (NO)
  • National Research University Higher School of Economics (RU)
  • Georgia State University (US)
  • University of Amsterdam (NL)
  • Johannes Kepler University of Linz (AT)
Corresponding author
  • Jackson, Joshua Conrad
  • Gelfand, Michele J.
Venue
PLOS ONE
Published
2019-09-06
Volume
14
Issue
9
Pages
e0221953
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2971921871
Cited by
144
References
59
Citations by year
2026: 11 · 2025: 15 · 2024: 18 · 2023: 20 · 2022: 30 · 2021: 34 · 2020: 14 · 2019: 2
FWCI
40.18
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • UvA-DARE (University of Amsterdam) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University) (submittedVersion, other-oa)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
  • OSF Preprints (OSF Preprints) (submittedVersion)
Funders
  • National Science Foundation
  • Royster Society of Fellows
Topics
  • Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
  • Social Sciences › Psychology › Social Psychology › Cultural Differences and Values
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
Keywords
prejudice, cultural tightness, ecological threats, political nationalism, religious prejudice, national prejudice, sexual orientation prejudice, cultural evolution, intergroup conflict, immigration, radicalization, cultural norms
MeSH terms
Culture, Humans, Politics, Prejudice, Internationality, Ecological and Environmental Phenomena

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