A Classification Tree Approach to the Development of Actuarial Violence Risk Assessment Tools

By H. Steadman, Eric Silver, J. Monahan, P. Appelbaum, P. Robbins, E. Mulvey, T. Grisso, L. Roth, S. Banks. 2000

419 citations recorded by the source corpus.

Subfields: Clinical Psychology, General Health Professions, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. M. Rice
2. Grant T. Harris
3. Robert D. Hare
4. Min Yang
5. Jeremy Coid
6. J. Hemphill
7. Douglas Fuchs
8. Lynn S. Fuchs

In General Health Professions

1. Robert D. Hare
2. Jeremy Coid
3. George E. Tita
4. M. Rice
5. M. Grann
6. Grant T. Harris

In Sociology and Political Science

1. M. Rice
2. Grant T. Harris
3. Robert D. Hare
4. Jeremy Coid
5. Min Yang
6. J. Hemphill
7. T. Skilling
8. Eric B. Elbogen

Citations in the corpus

• Interpretable classification models for recidivism prediction (2015, methodology): “For instance the work of Steadman et al. (2000) favors classification trees over logistic regression due to its similarity to the clinical method of decision making.”
• Predicting Recidivism in Homicide Offenders Using Classification Tree Analysis (2011, background): “…Sherman, Barnes, Kurtz, & Ahlman, 2009; Monahan et al., 2000; Stalans, Yarnold, Seng, Olson, & Repp, 2004; Steadman et al., 2000; Silver, Smith, & Banks, 2000), however, has focused on contrasting traditional linear statistical approaches with other types of actuarial approaches mimicking more…”
• A Multiple Models Approach to Assessing Recidivism Risk (2002, methodology): “, 1998) recently developed an “iterative classification procedure” for predicting violence among discharged psychiatric patients (Monahan et al., 2000; Steadman et al., 2000).”
• Some Misconceptions about the Hare PCL-R and Risk Assessment (2004, background): “26) among 134 theoretically relevant predictor variables with a reasonably comprehensive measure of recidivism coded from official sources, patient self-reports, and collateral informants (Steadman et al., 2000).”
• The intricate link between violence and mental disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions. (2009, result): “Thus, using the nationally representative NESARC sample yielded results similar to those from the MacArthur Violence Risk Assessment Study.(1,42,43) Multivariate analyses confirmed that severe mental illness alone did not significantly predict committing violent acts; rather, historical, disposition”
• Mathematics Screening and Progress Monitoring at First Grade: Implications for Responsiveness to Intervention (2007, methodology): “For evaluating differences in predictive accuracy across models (see Steadman et al., 2000; Tsien, Fraser, Long, & Kennedy, 1998), we used area under the ROC curve (AUC), a measure of discrimination, or the ability of the screening test to correctly classify second-grade MD and NMD children.”
• Psychopathy and Recidivism in Adolescent Sex Offenders (2001, methodology): “Gretton@ gems7.gov.bc.ca; or to Robert D. Hare, Ph.D., Department of Psychology, University of British Columbia, 2136 West Mall, Vancouver, BC, Canada V6T 1Z4; e-mail: rhare@interchange. ubc.ca. lence better than did any of 133 other risk variables (Steadman et al., 2000).”
• Identifying Three Types of Violent Offenders and Predicting Violent Recidivism While on Probation: A Classification Tree Analysis (2004, methodology): “8 In preliminary research CTA via ODA has consistently yielded better predictive and classification accuracy than alternative linear (logistic, discriminant analysis, stepwise OLS regression) and nonlinear (CHAID, CART) statistical classification methodologies (Arozullah et al., 2003; Mueser et al.,”
• A Comparison of Logistic Regression, Classification and Regression Tree, and Neural Networks Models in Predicting Violent Re-Offending (2011, methodology): “LR is robust, but it is criticized for ignoring the possibility that different variables might predict violence for different subgroups of individuals (Steadman et al. 2000) and its explanations are not ideal for clinicians and offender managers.”
• Psychopathy, the PCL-R, and criminal justice: Some new findings and current issues. (2016, methodology): “I might also note that the PCL:SV was developed for use in the MacArthur Violence Risk Assessment Study for evaluating risk in civil psychiatric patients; it was the strongest predictor of violence among these patients (Steadman et al., 2000).”
• Protective Factors in Forensic Mental Health: A New Frontier (2011, neutral): “Another example of an actuarial risk assessment method is the Iterative Classification Tree method derived from empirical data of the MacArthur Risk Assessment Study (see Monahan et al, 2001 ; Steadman et al, 2000 ).”