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Global sex differences in personality: Replication with an open online dataset

Kaiser, T.
•
Del Giudice, Marco
•
Booth, T.
2020
  • journal article

Periodico
JOURNAL OF PERSONALITY
Abstract
Objective: Sex differences in personality are a matter of continuing debate. In a study on the US standardization sample of Cattell’s 16PF (fifth edition), Del Giudice and colleagues (2012; PLoS ONE, 7, e29265) estimated global sex differences in personality with multigroup covariance and mean structure analysis (MG-CMSA). The study found a surprisingly large multivariate effect, D = 2.71. Here we replicated the original analysis with an open online dataset employing an equivalent version of the 16PF. Method: We closely replicated the original MG-MCSA analysis on N = 21,567 US participants (63% females, age 16-90); for robustness, we also analyzed N = 31,637 participants across English-speaking countries (61% females, age 16-90). Results: The size of global sex differences was D = 2.06 in the US and D = 2.10 across English- speaking countries. Parcel-allocation variability analysis showed that results were robust to changes in parceling (US: median D = 2.09, IQR [1.89, 2.37]; English-speaking countries: median D = 2.17, IQR [1.98, 2.47]). Conclusions: Our results corroborate the original study (with a comparable if somewhat smaller effect size) and provide new information on the impact of parcel allocation. We discuss the implications of these and similar findings for the psychology of sex differences.
DOI
10.1111/JOPY.12500
WOS
WOS:000478234400001
Archivio
https://hdl.handle.net/11368/3066291
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85084250795
https://onlinelibrary.wiley.com/doi/10.1111/jopy.12500
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by-nc/4.0/
FVG url
https://arts.units.it/bitstream/11368/3066291/3/Journal of Personality - 2019 - Kaiser - Global sex differences in personality Replication with an open online dataset-1.pdf
Soggetti
  • effect size

  • gender difference

  • Mahalanobis’ D

  • multivariate

  • sex differences

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