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Cited by 957

The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.

Assessing Risk for Sexual Recidivism: Some Proposals on the Nature of Psychologically Meaningful Risk Factors

Mann, Ruth E., Hanson, R. Karl, Thornton, David·2010·Sexual Abuse

Abstract

Risk assessment and treatment for sexual offenders should focus on individual characteristics associated with recidivism risk. Although it is possible to conduct risk assessments based purely on empirical correlates, the most useful evaluations also explain the source of the risk. In this review, the authors propose that the basic requirements for a psychologically meaningful risk factor are (a) a plausible rationale that the factor is a cause of sexual offending and (b) strong evidence that it predicts sexual recidivism. Based on the second of these criteria, the authors categorize potential risk factors according to the strength of the evidence for their relationship with offending. The most strongly supported variables should be emphasized in both assessment and treatment of sexual offenders. Further research is required, however, to establish causal connections between these variables and recidivism and to examine the extent to which changes in these factors leads to reductions in recidivism potential.

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Metadata

Authors
Mann, R. E., Hanson, R. K., & Thornton, D.
Venue
Sexual Abuse
Published
2010-04-02
Volume
22
Issue
2
Pages
191-217
ISSN
  • 1079-0632 (ISSN-L)
  • 1573-286X
OpenAlex
W2138768233
Cited by
957
References
93
FWCI
42.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Assessing Risk for Sexual Recidivism: Some Proposals on the Nature of Psychologically Meaningful Risk Factors. https://app.cochat.ai/papers/10.1177/1079063210366039
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Mann, R. E., Hanson, R. K., & Thornton, D. (2010). Assessing Risk for Sexual Recidivism: Some Proposals on the Nature of Psychologically Meaningful Risk Factors. Sexual Abuse. https://doi.org/10.1177/1079063210366039

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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.