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Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Static-99R: Revidovaná škála rizika sexuálnych delikventov Static-99× | VRAG: Sprievodca posudzovaním rizika násilia× | |
|---|---|---|
| Odbor | Forenzná psychológia | Forenzná psychológia |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 2009 | 1993 |
| Tvorca≠ | R. Karl Hanson, David Thornton, Lea Helmus | Grant T. Harris, Marnie E. Rice, Vernon L. Quinsey |
| Typ≠ | File-based / Clinician-rated | Clinician-rated / File-based |
| Pôvodný zdroj≠ | 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 ↗ |
| Ďalšie názvy≠ | Static-99R, Static-99, Sex Offender Risk Assessment | VRAG, Harris-Rice-Quinsey VRAG |
| Príbuzné | 4 | 4 |
| Zhrnutie≠ | 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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