The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Risk Assessment With Young Offenders: A Meta-Analysis of Three Assessment Measures
Abstract
The current investigation is a meta-analysis of the predictive accuracy of three well-known forensic instruments used to appraise risk with young offenders: youth adaptations of the Level of Service Inventory and Psychopathy Checklist and the Structured Assessment of Violence Risk for Youth. Through several avenues, 49 potentially suitable published and unpublished studies (across 44 samples representing 8,746 youth) were identified and evaluated for inclusion. Predictive accuracy for general, nonviolent, violent, and sexual recidivism was examined for the three sets of measures. Mean weighted correlations for each of the three measures were significant in the prediction of general, nonviolent, and violent recidivism, with no single instrument demonstrating superior prediction. Separate analyses of specific young offender groups further supported the predictive accuracy of youth adaptations of the Level of Service Inventory among male, female, Aboriginal, and non-Aboriginal youth. Implications regarding the utility of young offender risk measures for enhancing clinical service provision with youth clientele are discussed.
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.
Integrity signals
Registry
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.
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
Cites
Statistical Methods for Meta-Analysis
Wasserman, S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,326
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,784
The Psychology of Criminal Conduct
Hart, S. D., Andrews, D. A., & Bonta, J. (1995) · Political Psychology · doi:10.2307/3792235 · Cited by 2,900
Predicting relapse: A meta-analysis of sexual offender recidivism studies.
Hanson, R. K., & Bussière, M. T. (1998) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.66.2.348 · Cited by 2,375
Cleckley, H. M. (1951) · Postgraduate Medicine · doi:10.1080/00325481.1951.11694097 · Cited by 2,274
DOES CORRECTIONAL TREATMENT WORK? A CLINICALLY RELEVANT AND PSYCHOLOGICALLY INFORMED META‐ANALYSIS *
ANDREWS, D. A., ZINGER, I., HOGE, R. D., BONTA, J., GENDREAU, P., & CULLEN, F. T. (1990) · Criminology · doi:10.1111/j.1745-9125.1990.tb01330.x · Cited by 2,084
Comparing effect sizes in follow-up studies: ROC Area, Cohen's d, and r.
Rice, M. E., & Harris, G. T. (2005) · Law and Human Behavior · doi:10.1007/s10979-005-6832-7 · Cited by 1,608 · cited 1×
“When only an AUC statistic from Receiver Operating Characteristic (ROC) analyses was provided, the tables provided in Rice and Harris (2005) were used to convert an ROC value into the equivalent rpb. 3 If correlations with continuous recidivism measures (e.g., total convictions) were reported, we…”
MethodBonta, J. L., Law, M. A., & Hanson, K. (1998) · Psychological Bulletin · doi:10.1037//0033-2909.123.2.123 · Cited by 1,250
The psychology of criminal conduct, 5th ed.
Andrews, D. A., & Bonta, J. L. (2010) · Cited by 1,156
The Psychology of Criminal Conduct
Andrews, D. A., & Bonta, J. (2014) · Routledge eBooks · doi:10.4324/9781315721279 · Cited by 655
Cited by
RISK, RACE, AND RECIDIVISM: PREDICTIVE BIAS AND DISPARATE IMPACT*
SKEEM, J. L., & LOWENKAMP, C. T. (2016) · Criminology · doi:10.1111/1745-9125.12123 · Cited by 317
Tolan, S., Miron, M., Gómez, E., & Castillo, C. (2019) · Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law · doi:10.1145/3322640.3326705 · Cited by 75
Indigenous perspectives on violence risk assessment: A thematic analysis
Shepherd, S. M., & Willis-Esqueda, C. (2018) · Punishment & Society · doi:10.1177/1462474517721485 · Cited by 43
Muir, N. M., Viljoen, J. L., Jonnson, M. R., Cochrane, D. M., & Rogers, B. J. (2020) · Psychological Assessment · doi:10.1037/pas0000816 · Cited by 41
Lockwood, I., Peterson-Badali, M., & Schmidt, F. (2018) · Criminal Justice and Behavior · doi:10.1177/0093854818785404 · Cited by 18
Metadata
- Authors
- Olver, M. E., Stockdale, K. C., & Wormith, J. S.
- Venue
- Criminal Justice and Behavior
- Publisher
- SAGE Publications
- Published
- 2009-04
- Volume
- 36
- Issue
- 4
- Pages
- 329-353
- ISSN
- 0093-8548 (ISSN-L)
- 1552-3594
- OpenAlex
- W2143029710
- Cited by
- 346
- References
- 55
- FWCI
- 19.24
- 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: Risk Assessment With Young Offenders: A Meta-Analysis of Three Assessment Measures. https://app.cochat.ai/papers/10.1177/0093854809331457
- The paper
- Olver, M. E., Stockdale, K. C., & Wormith, J. S. (2009). Risk Assessment With Young Offenders: A Meta-Analysis of Three Assessment Measures. Criminal Justice and Behavior. https://doi.org/10.1177/0093854809331457
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.
