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VRAG: Sprievodca posudzovaním rizika násilia×SAPROF: Štruktúrované hodnotenie ochranných faktorov pre riziko násilia×
OdborForenzná psychológiaForenzná psychológia
RodinaProcess / pipelineProcess / pipeline
Rok vzniku19932012
TvorcaGrant T. Harris, Marnie E. Rice, Vernon L. QuinseyVivienne de Vogel, Corine de Ruiter, Yvonne Bouman, Merike de Vries Robbé
TypClinician-rated / File-basedClinician-rated
Pôvodný zdrojHarris, 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 ↗de Vogel, V., de Ruiter, C., Bouman, Y., & de Vries Robbé, M. (2012). SAPROF: Structured Assessment of Protective Factors for violence risk (Version 3). Forum Educatief. link ↗
Ďalšie názvyVRAG, Harris-Rice-Quinsey VRAGSAPROF, de Vogel SAPROF
Príbuzné44
ZhrnutieThe 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.The Structured Assessment of Protective Factors for Violence Risk (SAPROF) is a 17-item structured professional judgment tool developed by de Vogel, de Ruiter, Bouman, and colleagues (2012) to identify protective factors and strengths in individuals undergoing violence risk assessment. It complements risk assessment instruments (e.g., HCR-20v3) by systematically evaluating resilience, social support, motivation, and positive functioning—domains that mitigate violence risk and inform rehabilitation potential.
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ScholarGatePorovnať metódy: VRAG · SAPROF. Získané 2026-06-19 z https://scholargate.app/sk/compare