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Cited by 756

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

The his and hers of prosocial behavior: An examination of the social psychology of gender.

Eagly, Alice H.·2009·American Psychologist

Abstract

Prosocial behavior consists of behaviors regarded as beneficial to others, including helping, sharing, comforting, guiding, rescuing, and defending others. Although women and men are similar in engaging in extensive prosocial behavior, they are different in their emphasis on particular classes of these behaviors. The specialty of women is prosocial behaviors that are more communal and relational, and that of men is behaviors that are more agentic and collectively oriented as well as strength intensive. These sex differences, which appear in research in various settings, match widely shared gender role beliefs. The origins of these beliefs lie in the division of labor, which reflects a biosocial interaction between male and female physical attributes and the social structure. The effects of gender roles on behavior are mediated by hormonal processes, social expectations, and individual dispositions.

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Metadata

Authors
Eagly, A. H.
Venue
American Psychologist
Published
2009-11
Volume
64
Issue
8
Pages
644-658
ISSN
  • 0003-066X (ISSN-L)
  • 1935-990X
OpenAlex
W2081160931
Cited by
756
References
10
FWCI
40.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The his and hers of prosocial behavior: An examination of the social psychology of gender. https://app.cochat.ai/papers/10.1037/0003-066x.64.8.644
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Eagly, A. H. (2009). The his and hers of prosocial behavior: An examination of the social psychology of gender. American Psychologist. https://doi.org/10.1037/0003-066x.64.8.644

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.