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Cited by 505

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

EXTENDING SOCIAL DISORGANIZATION THEORY: MODELING THE RELATIONSHIPS BETWEEN COHESION, DISORDER, AND FEAR*

MARKOWITZ, FRED E., BELLAIR, PAUL E., LISKA, ALLEN E., LIU, JIANHONG·2001·Criminology

Abstract

In this study, we build on recent social disorganization research, estimating models of the relationships between disorder, burglary, cohesion, and fear of crime using a sample of neighborhoods from three waves of the British Crime Survey. The results indicate that disorder has an indirect effect on burglary through fear and neighborhood cohesion. Although cohesion reduces disorder, nonrecursive models show that disorder also reduces cohesion. Part of the effect of disorder on cohesion is mediated by fear. Similar results are obtained in nonrecursive burglary models. Together, the results suggest a feedback loop in which decreases in neighborhood cohesion increase crime and disorder, increasing fear, in turn, further decreasing cohesion.

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Crossref · 10.1111/j.1745-9125.2001.tb00924.x

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Metadata

Authors
MARKOWITZ, F. E., BELLAIR, P. E., LISKA, A. E., & LIU, J.
Venue
Criminology
Publisher
Wiley
Published
2001-05
Volume
39
Issue
2
Pages
293-319
ISSN
  • 0011-1384 (ISSN-L)
  • 1745-9125
OpenAlex
W2090564901
Cited by
505
References
2
FWCI
27.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: EXTENDING SOCIAL DISORGANIZATION THEORY: MODELING THE RELATIONSHIPS BETWEEN COHESION, DISORDER, AND FEAR*. https://app.cochat.ai/papers/10.1111/j.1745-9125.2001.tb00924.x
The paper
MARKOWITZ, F. E., BELLAIR, P. E., LISKA, A. E., & LIU, J. (2001). EXTENDING SOCIAL DISORGANIZATION THEORY: MODELING THE RELATIONSHIPS BETWEEN COHESION, DISORDER, AND FEAR*. Criminology. https://doi.org/10.1111/j.1745-9125.2001.tb00924.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.