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Cited by 264

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

The Roots of Prison Violence: A Test of the Deprivation, Management, and “Not-So-Total” Institution Models

McCorkle, Richard C., Miethe, Terance D., Drass, Kriss A.·1995·Crime & Delinquency

Abstract

Studies of prison violence typically focus either on individual-level aggression or large-scale collective acts. Most past work consists of case studies, limiting the generalizations from the results. The present study used data from 371 state prisons and measures of both individual and collective violence and attempted to identify the structural, managerial, and environmental determinants of prison disorder. Findings suggest that poor prison management is a predictor of rates of assault toward inmates and staff. However, the likelihood of prison riots is largely independent of structural, managerial, and environmental factors. The article also discusses the implications for public policy.

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Crossref · 10.1177/0011128795041003003

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Metadata

Authors
McCorkle, R. C., Miethe, T. D., & Drass, K. A.
Venue
Crime & Delinquency
Published
1995-07
Volume
41
Issue
3
Pages
317-331
ISSN
  • 0011-1287 (ISSN-L)
  • 1552-387X
OpenAlex
W2101200249
Cited by
264
References
31
FWCI
4.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Roots of Prison Violence: A Test of the Deprivation, Management, and “Not-So-Total” Institution Models. https://app.cochat.ai/papers/10.1177/0011128795041003003
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McCorkle, R. C., Miethe, T. D., & Drass, K. A. (1995). The Roots of Prison Violence: A Test of the Deprivation, Management, and “Not-So-Total” Institution Models. Crime & Delinquency. https://doi.org/10.1177/0011128795041003003

Data sources

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.