Challenges to capture the big five personality traits in non-WEIRD populations.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
07 2019
Historique:
received: 01 01 2019
accepted: 05 06 2019
entrez: 17 7 2019
pubmed: 17 7 2019
medline: 6 5 2020
Statut: epublish

Résumé

Can personality traits be measured and interpreted reliably across the world? While the use of Big Five personality measures is increasingly common across social sciences, their validity outside of western, educated, industrialized, rich, and democratic (WEIRD) populations is unclear. Adopting a comprehensive psychometric approach to analyze 29 face-to-face surveys from 94,751 respondents in 23 low- and middle-income countries, we show that commonly used personality questions generally fail to measure the intended personality traits and show low validity. These findings contrast with the much higher validity of these measures attained in internet surveys of 198,356 self-selected respondents from the same countries. We discuss how systematic response patterns, enumerator interactions, and low education levels can collectively distort personality measures when assessed in large-scale surveys. Our results highlight the risk of misinterpreting Big Five survey data and provide a warning against naïve interpretations of personality traits without evidence of their validity.

Identifiants

pubmed: 31309152
doi: 10.1126/sciadv.aaw5226
pii: aaw5226
pmc: PMC6620089
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

eaaw5226

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Auteurs

Rachid Laajaj (R)

Universidad de Los Andes, Bogota, Colombia.

Karen Macours (K)

Paris School of Economics, Paris, France.
INRA, Paris, France.

Daniel Alejandro Pinzon Hernandez (DA)

Universidad de Los Andes, Bogota, Colombia.

Omar Arias (O)

World Bank, Washington, DC 20433, USA.

Samuel D Gosling (SD)

University of Texas at Austin, Austin, TX, USA.
University of Melbourne, Parkville, Victoria, Australia.

Jeff Potter (J)

Atof Inc., Cambridge, MA 02139, USA.

Marta Rubio-Codina (M)

Inter-American Development Bank, Washington, DC 20577, USA.

Renos Vakis (R)

World Bank, Washington, DC 20433, USA.

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Classifications MeSH