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Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Static-99R: Scala di Rischio Rivista per Delinquenti Sessuali Static-99R× | VRAG: Violence Risk Appraisal Guide× | |
|---|---|---|
| Campo | Psicologia forense | Psicologia forense |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 2009 | 1993 |
| Ideatore≠ | R. Karl Hanson, David Thornton, Lea Helmus | Grant T. Harris, Marnie E. Rice, Vernon L. Quinsey |
| Tipo≠ | File-based / Clinician-rated | Clinician-rated / File-based |
| Fonte seminale≠ | Hanson, R. K., Helmus, L., & Thornton, D. (2010). Predicting recidivism among sexual offenders: A multi-site study. Sexual Abuse, 22(1), 133–153. link ↗ | Harris, G. T., Rice, M. E., & Quinsey, V. L. (1993). Violent recidivism of mentally disordered offenders: The development of a statistical prediction instrument. Neuropsychiatry Neuropsychology and Behavioral Neurology, 6(4), 269–279. DOI ↗ |
| Alias≠ | Static-99R, Static-99, Sex Offender Risk Assessment | VRAG, Harris-Rice-Quinsey VRAG |
| Correlati | 4 | 4 |
| Sintesi≠ | The Static-99R is an actuarial risk assessment instrument designed to estimate the likelihood of sexual recidivism among adult male sex offenders. Originally developed as the Static-99 by Hanson and Thornton (2000) and revised in 2009 as the Static-99R by Hanson, Helmus, and Thornton, it remains one of the most widely used sexual offender risk assessment tools in correctional, forensic psychiatric, and civil commitment settings across North America, Europe, and Australasia. | The Violence Risk Appraisal Guide (VRAG) is an actuarial instrument developed by Harris, Rice, and Quinsey (1993) to estimate the probability of violent recidivism among adult male offenders released from forensic psychiatric hospitals. It represents one of the earliest empirically validated violence prediction tools and remains widely used in correctional, forensic psychiatric, and civil commitment settings. The VRAG combines static historical variables with dynamic factors to generate a probability-based risk assessment. |
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