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Cited by 589

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High-Risk Neighborhoods and High-Risk Families: The Human Ecology of Child Maltreatment

James Garbarino, Deborah Sherman·1980·Child Development

Abstract

Based on multiple regression analysis to identify the socioeconomic, demographic, and attitudinal correlates of neighborhood differences in the rate of child abuse and neglect, a pair of neighborhoods matched for socioeconomic level was selected, one high risk, the other low risk. Interviews with expert informants ranging from elementary school principals to mailmen were used to develop neighborhood profiles. Samples of families were drawn from each neighborhood and interviews conducted to identify stresses and supports, with special emphasis on sources of help, social networks, evaluation of the neighborhood, and use of formal family support systems. The results lend support to the concept of neighborhood "risk." Families in the high-risk neighborhood, though socioeconomically similar to families in the low-risk neighborhood, report less positive evaluation of the neighborhood as a context for child and family development. Furthermore, they reveal a general pattern of "social impoverishment" in comparison with families in the low-risk neighborhood.

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OpenAlex · 10.1111/j.1467-8624.1980.tb02525.x

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Metadata

Authors
Garbarino, J., & Sherman, D.
Venue
Child Development
Publisher
Wiley
Published
1980-03-01
Volume
51
Issue
1
Pages
188-188
ISSN
0009-3920 (ISSN-L)
OpenAlex
W2044536272
Cited by
589
References
1
FWCI
10.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High-Risk Neighborhoods and High-Risk Families: The Human Ecology of Child Maltreatment. https://app.cochat.ai/papers/10.1111/j.1467-8624.1980.tb02525.x
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Garbarino, J., & Sherman, D. (1980). High-Risk Neighborhoods and High-Risk Families: The Human Ecology of Child Maltreatment. Child Development. https://doi.org/10.1111/j.1467-8624.1980.tb02525.x

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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.