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Cited by 286

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Top Ten Challenges for Understanding Gender and Aggression in Children: Why Can’t We All Just Get Along?

Underwood, Marion K., Galenand, Britt R., Paquette, Julie A.·2001·Social Development

Abstract

This essay identifies ten significant methodological challenges for understanding aggression and gender. In light of the recent explosion of research on indirect/relational/social aggression, it seems important to clarify gaps in our current understanding and to identify promising methods by which better answers might be found. The discussion begins with basic issues of definitions, contexts and subtypes, moves on to points concerning sampling and measures, and addresses whether current evidence warrants deciding that girls are as aggressive as boys. We conclude that although research has shown that the majority of girls’ aggression takes indirect/relational/social forms, it is premature to conclude that boys do not also engage in these behaviors. We caution against assuming that physical and indirect/relational/social aggression are comparable in their developmental origins and consequences, and urge researchers to consider that fully understanding indirect/relational/social aggression might require different conceptual frameworks and research methods.

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Metadata

Authors
Underwood, M. K., Galenand, B. R., & Paquette, J. A.
Venue
Social Development
Publisher
Wiley
Published
2001-05
Volume
10
Issue
2
Pages
248-266
ISSN
  • 0961-205X (ISSN-L)
  • 1467-9507
OpenAlex
W2080231935
Cited by
286
References
0
FWCI
24.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Top Ten Challenges for Understanding Gender and Aggression in Children: Why Can’t We All Just Get Along? https://app.cochat.ai/papers/10.1111/1467-9507.00162
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Underwood, M. K., Galenand, B. R., & Paquette, J. A. (2001). Top Ten Challenges for Understanding Gender and Aggression in Children: Why Can’t We All Just Get Along? Social Development. https://doi.org/10.1111/1467-9507.00162

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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.