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VRAG: Panduan Penilaian Risiko Keganasan×SAPROF: Penilaian Berstruktur Faktor Pelindung untuk Risiko Keganasan×
BidangPsikologi ForensikPsikologi Forensik
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19932012
PengasasGrant T. Harris, Marnie E. Rice, Vernon L. QuinseyVivienne de Vogel, Corine de Ruiter, Yvonne Bouman, Merike de Vries Robbé
JenisClinician-rated / File-basedClinician-rated
Sumber perintisHarris, 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 ↗
AliasVRAG, Harris-Rice-Quinsey VRAGSAPROF, de Vogel SAPROF
Berkaitan44
RingkasanThe 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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ScholarGateBandingkan kaedah: VRAG · SAPROF. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare