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Intra-versus intersex aggression: testing theories of sex differences using aggression networks

Abstract:
Two theories offer competing explanations of sex differences in aggressive behavior: sexual-selection theory and social-role theory. While each theory has specific strengths and limitations depending on the victim's sex, research hardly differentiates between intrasex and intersex aggression. In the present study, 11,307 students (mean age = 14.96 years; 50% girls, 50% boys) from 597 school classes provided social-network data (aggression and friendship networks) as well as physical (body mass index) and psychosocial (gender and masculinity norms) information. Aggression networks were used to disentangle intra- and intersex aggression, whereas their class-aggregated sex differences were analyzed using contextual predictors derived from sexual-selection and social-role theories. As expected, results revealed that sexual-selection theory predicted male-biased sex differences in intrasex aggression, whereas social-role theory predicted male-biased sex differences in intersex aggression. Findings suggest the value of explaining sex differences separately for intra- and intersex aggression with a dual-theory framework covering both evolutionary and normative components.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1177/0956797615586979

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author


Publisher:
SAGE Publications
Journal:
Psychological Science More from this journal
Volume:
26
Issue:
8
Pages:
1285-1294
Publication date:
2015-07-08
Acceptance date:
2015-04-24
DOI:
EISSN:
1467-9280
ISSN:
1467-9280


Language:
English
Keywords:
Pubs id:
pubs:531575
UUID:
uuid:94dac386-8ada-45ae-b837-ef9d59db9b3f
Local pid:
pubs:531575
Source identifiers:
531575
Deposit date:
2016-06-28
ARK identifier:

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