Cited by 161Personality Traits and PsychologyGender Roles and Identity StudiesSocial and Intergroup Psychology

When men and women differ in self-esteem and when they don’t: A meta-analysis

Zuckerman, Miron, Li, Chen, Hall, Judith A.·2016·Journal of Research in Personality

Integrity signals

Registry

Crossref · 10.1016/j.jrp.2016.07.007

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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  • For Self-esteem, all studies showed higher levels of general self-esteem for males (SMDs = 0.05-0.25).

    “For Self-esteem, all studies showed higher levels of general self-esteem for males (SMDs = 0.05–0.25; Bleidorn et al., 2016; Kling et al., 1999; Zuckerman et al., 2016).”

    From A Systematic Review and New Analyses of the Gender-Equality Paradox (2025) · cites this paper as Zuckerman et al., 2016

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Authors
Zuckerman, M., Li, C., & Hall, J. A.
Affiliations
  • University of Rochester (US)
  • Northeastern University (US)
Corresponding author
Zuckerman, Miron
Venue
Journal of Research in Personality
Publisher
Elsevier BV
Published
2016-10
Volume
64
Pages
34-51
ISSN
0092-6566 (ISSN-L)
OpenAlex
W2483108352
Cited by
161
References
4
Citations by year
2026: 19 · 2025: 18 · 2024: 22 · 2023: 20 · 2022: 34 · 2021: 10 · 2020: 10 · 2019: 12 · 2018: 8 · 2017: 5 · 2016: 1 · 2013: 2
FWCI
1.28
Type
journal article
Language
en
Open access
closed
Locations
Journal of Research in Personality (publishedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
  • Social Sciences › Gender Studies › Gender Roles and Identity Studies
  • Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
Keywords
gender differences, self-esteem, masculinity, femininity, age differences, racial and ethnic differences, national culture, comparison processes

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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