Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to learn more

Click here to sign up for SAGE Journal Email Alerts today!

Criminal Justice and Behavior
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via ISI Web of Science (1)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Grann, M.
Right arrow Articles by Långström, N.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Actuarial Assessment of Violence Risk

To Weigh or Not to Weigh?

Martin Grann

Centre for Violence Prevention, Karolinska Institute, Stockholm, Sweden, Martin.Grann{at}cvp.se

Niklas Långström

Centre for Violence Prevention, Karolinska Institute, Stockholm, Sweden

The assigning of different weights to risk factors in actuarial formulas for the assessment of violence risk in criminal offenders has been debated. The authors explore the predictive validity of an index with 10 well-established risk factors for criminal recidivism with respect to violent reconvictions among 404 former forensic psychiatric examinees in Sweden. Four different weighting conditions are tested experimentally, including Nuffield’s method, bivariate and multivariate logistic regression, and an artificial neural network procedure. Simpler weighting techniques do not improve predictive accuracy over that of a nonweighted reference, and the more complex procedures yield a statistical shrinkage effect. The authors hypothesize that the general lack of causal risk factors in prediction models may contribute to the observed low utility of weighting techniques.

Key Words: violence • risk assessment • prediction • forensic psychiatry • artificial neural network • methodology • VRAG • HCR-20

Criminal Justice and Behavior, Vol. 34, No. 1, 22-36 (2007)
DOI: 10.1177/0093854806290250


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?