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

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 com...

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Autores principales: Laajaj, Rachid, Macours, Karen, Pinzon Hernandez, Daniel Alejandro, Arias, Omar, Gosling, Samuel D., Potter, Jeff, Rubio-Codina, Marta, Vakis, Renos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6620089/
https://www.ncbi.nlm.nih.gov/pubmed/31309152
http://dx.doi.org/10.1126/sciadv.aaw5226
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author Laajaj, Rachid
Macours, Karen
Pinzon Hernandez, Daniel Alejandro
Arias, Omar
Gosling, Samuel D.
Potter, Jeff
Rubio-Codina, Marta
Vakis, Renos
author_facet Laajaj, Rachid
Macours, Karen
Pinzon Hernandez, Daniel Alejandro
Arias, Omar
Gosling, Samuel D.
Potter, Jeff
Rubio-Codina, Marta
Vakis, Renos
author_sort Laajaj, Rachid
collection PubMed
description 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.
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spelling pubmed-66200892019-07-15 Challenges to capture the big five personality traits in non-WEIRD populations Laajaj, Rachid Macours, Karen Pinzon Hernandez, Daniel Alejandro Arias, Omar Gosling, Samuel D. Potter, Jeff Rubio-Codina, Marta Vakis, Renos Sci Adv Research Articles 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. American Association for the Advancement of Science 2019-07-10 /pmc/articles/PMC6620089/ /pubmed/31309152 http://dx.doi.org/10.1126/sciadv.aaw5226 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Laajaj, Rachid
Macours, Karen
Pinzon Hernandez, Daniel Alejandro
Arias, Omar
Gosling, Samuel D.
Potter, Jeff
Rubio-Codina, Marta
Vakis, Renos
Challenges to capture the big five personality traits in non-WEIRD populations
title Challenges to capture the big five personality traits in non-WEIRD populations
title_full Challenges to capture the big five personality traits in non-WEIRD populations
title_fullStr Challenges to capture the big five personality traits in non-WEIRD populations
title_full_unstemmed Challenges to capture the big five personality traits in non-WEIRD populations
title_short Challenges to capture the big five personality traits in non-WEIRD populations
title_sort challenges to capture the big five personality traits in non-weird populations
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6620089/
https://www.ncbi.nlm.nih.gov/pubmed/31309152
http://dx.doi.org/10.1126/sciadv.aaw5226
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