Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| HCR-20v3: Usimamizi wa Hatari ya Kliniki ya Kihistoria-20× | VRAG: Mwongozo wa Tathmini ya Hatari ya Unyanyasaji× | |
|---|---|---|
| Nyanja | Saikolojia ya Forensiki | Saikolojia ya Forensiki |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2013 | 1993 |
| Mwanzilishi≠ | Kevin S. Douglas, Stephen D. Hart, Christopher D. Webster, et al. | Grant T. Harris, Marnie E. Rice, Vernon L. Quinsey |
| Aina≠ | Clinician-rated | Clinician-rated / File-based |
| Chanzo asilia≠ | Douglas, K. S., Hart, S. D., Webster, C. D., Belfrage, H., Guy, L. S., & Wilson, C. M. (2013). HCR-20v3: Assessing risk for violence. Simon Fraser University Mental Health Law Program. 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 ↗ |
| Majina mbadala | HCR-20v3, Historical Clinical Risk Management | VRAG, Harris-Rice-Quinsey VRAG |
| Zinazohusiana≠ | 5 | 4 |
| Muhtasari≠ | The HCR-20v3 is a structured professional judgment framework developed by Douglas, Hart, and colleagues for the assessment of risk for violence among adolescents and adults in mental health, criminal justice, and forensic settings. Published in 2013, it represents the third version of one of the most widely validated risk assessment instruments in forensic psychology, synthesizing clinical judgment with empirical evidence of violence risk factors. | 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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