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Cited by 494

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Explaining the Gender Gap in Delinquency: Peer Influence and Moral Evaluations of Behavior

MEARS, DANIEL P., PLOEGER, MATTHEW, WARR, MARK·1998·Journal of Research in Crime and Delinquency

Abstract

Gender is one of the strongest correlates of delinquent behavior, but gender differences in delinquency have proven difficult to explain. Some analysts have called for gender-specific theories of delinquency, whereas others argue that males and females are differentially exposed to or differentially affected by the same criminogenic conditions. Building on the latter approach, this article draws on Sutherland's theory of differential association and Gilligan's theory of moral development to argue that males and females are differentially affected by exposure to delinquent peers. Analysis of data from the National Youth Survey supports the hypothesis that moral evaluations act as a barrier to reduce or counteract the influence of delinquent peers among females, thereby producing large observed sex differences in delinquent behavior.

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Metadata

Authors
MEARS, D. P., PLOEGER, M., & WARR, M.
Venue
Journal of Research in Crime and Delinquency
Published
1998-08
Volume
35
Issue
3
Pages
251-266
ISSN
  • 0022-4278 (ISSN-L)
  • 1552-731X
OpenAlex
W2166147020
Cited by
494
References
32
FWCI
10.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Explaining the Gender Gap in Delinquency: Peer Influence and Moral Evaluations of Behavior. https://app.cochat.ai/papers/10.1177/0022427898035003001
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MEARS, D. P., PLOEGER, M., & WARR, M. (1998). Explaining the Gender Gap in Delinquency: Peer Influence and Moral Evaluations of Behavior. Journal of Research in Crime and Delinquency. https://doi.org/10.1177/0022427898035003001

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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.