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SAPROF: Štruktúrované hodnotenie ochranných faktorov pre riziko násilia×VRAG: Sprievodca posudzovaním rizika násilia×
OdborForenzná psychológiaForenzná psychológia
RodinaProcess / pipelineProcess / pipeline
Rok vzniku20121993
TvorcaVivienne de Vogel, Corine de Ruiter, Yvonne Bouman, Merike de Vries RobbéGrant T. Harris, Marnie E. Rice, Vernon L. Quinsey
TypClinician-ratedClinician-rated / File-based
Pôvodný zdrojde 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 ↗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 názvySAPROF, de Vogel SAPROFVRAG, Harris-Rice-Quinsey VRAG
Príbuzné44
ZhrnutieThe 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.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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ScholarGatePorovnať metódy: SAPROF · VRAG. Získané 2026-06-19 z https://scholargate.app/sk/compare