Evidence map›Paper›PMID 31309152›Full record

ArticleScience advances2019

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

Rachid Laajaj, Karen Macours, Daniel Alejandro Pinzon Hernandez, Omar Arias, Samuel D Gosling, Jeff Potter, Marta Rubio-Codina, Renos Vakis

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
31.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 220 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 4 countries.

Rachid LaajajUniversidad de Los Andes, Bogota, Colombia.
Karen MacoursParis School of Economics, Paris, France.
Daniel Alejandro Pinzon HernandezUniversidad de Los Andes, Bogota, Colombia.ORCID 0000-0002-7011-8667
Omar AriasWorld Bank, Washington, DC 20433, USA.ORCID 0000-0003-0520-9447
Samuel D GoslingUniversity of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-8970-591X
Jeff PotterAtof Inc., Cambridge, MA 02139, USA.
Marta Rubio-CodinaInter-American Development Bank, Washington, DC 20577, USA.ORCID 0000-0002-1286-7918
Renos VakisWorld Bank, Washington, DC 20433, USA.
Universidad de Los Andes · COWorld Bank · USAVEO Oncology (United States) · USInter-American Development Bank · USParis School of Economics · FRThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

PersonalityPsychometricsQuantitative Trait, HeritableDatabases, FactualFactor Analysis, StatisticalFemaleHumansMalePopulation SurveillanceReproducibility of ResultsSocioeconomic FactorsSurveys and Questionnaires

Identifiers

PMID31309152
PMCPMC6620089
OpenAlexW2956992498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.