Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| LSI-R: Inventarul Nivelului de Servicii – Revizuit× | VRAG: Ghid de evaluare a riscului de violență× | |
|---|---|---|
| Domeniu | Psihologie judiciară | Psihologie judiciară |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1995 | 1993 |
| Autorul original≠ | D. A. Andrews, James Bonta | Grant T. Harris, Marnie E. Rice, Vernon L. Quinsey |
| Tip≠ | Interview-based / File-based | Clinician-rated / File-based |
| Sursa seminală≠ | Andrews, D. A., & Bonta, J. (1995). The Level of Service Inventory-Revised. Department of Psychology, Carleton University. 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 ↗ |
| Denumiri alternative≠ | LSI-R, LSI-R-SV, Andrews-Bonta Risk Assessment | VRAG, Harris-Rice-Quinsey VRAG |
| Înrudite | 4 | 4 |
| Rezumat≠ | The Level of Service Inventory-Revised (LSI-R) is a 54-item assessment instrument developed by Andrews and Bonta (1995) to measure offender risk level and criminogenic needs (dynamic risk factors related to criminal behavior) in criminal justice populations. It is grounded in the Risk-Need-Responsivity (RNR) model of offender rehabilitation and is widely used in correctional facilities, probation/parole services, and forensic settings to inform release decisions, supervision intensity, treatment prioritization, and rehabilitation planning. | 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. |
| ScholarGateSet de date ↗ |
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