Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,243

The DOI matches its Crossref record.

The Specific Deterrent Effects of Arrest for Domestic Assault

Sherman, Lawrence W., Berk, Richard A.·1984·American Sociological Review

Abstract

The specific deterrence doctrine and labeling theory predict opposite effects of punishment on individual rates of deviance. The limited cross-sectional evidence available on the question is inconsistent, and experimental evidence has been lacking. The Police Foundation and the Minneapolis Police Department tested these hypotheses in a field experiment on domestic violence. Three police responses to simple assault were randomly assigned to legally eligible suspects: an arrest; advice (including, in some cases, informal mediation); and an order to the suspect to leave for eight hours. The behavior of the suspect was trackedfor six months after the police intervention, with both official data and victim reports. The official recidivism measures show that the arrested suspects manifested significantly less subsequent violence than those who were ordered to leave. The victim report data show that the arrested subjects manifested significantly less subsequent violence than those who were advised. The findings falsify a deviance amplification model of labeling theory beyond initial labeling, and fail to falsify the specific deterrence prediction for a group of offenders with a high percentage of prior histories of both domestic violence and other kinds of crime.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/2095575

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,243

Metadata

Authors
Sherman, L. W., & Berk, R. A.
Venue
American Sociological Review
Published
1984-04
Volume
49
Issue
2
Pages
261
ISSN
0003-1224 (ISSN-L)
OpenAlex
W2069145128
Cited by
1,243
References
0
FWCI
81.70
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Specific Deterrent Effects of Arrest for Domestic Assault. https://app.cochat.ai/papers/10.2307/2095575
The paper
Sherman, L. W., & Berk, R. A. (1984). The Specific Deterrent Effects of Arrest for Domestic Assault. American Sociological Review. https://doi.org/10.2307/2095575

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.