Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| SPJ Framework× | LSI-R: Level of Service Inventory-Revised× | |
|---|---|---|
| Область | Судебная психология | Судебная психология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2003 | 1995 |
| Автор метода≠ | Stephen D. Hart, Peter R. Kropp, David R. Laws | D. A. Andrews, James Bonta |
| Тип≠ | Clinician-Synthesized | Interview-based / File-based |
| Основополагающий источник≠ | Hart, S. D., Kropp, P. R., & Laws, D. R. (Eds.). (2003). Sexual deviance: Theory, assessment, and treatment. Guilford Press. link ↗ | Andrews, D. A., & Bonta, J. (1995). The Level of Service Inventory-Revised. Department of Psychology, Carleton University. link ↗ |
| Другие названия | SPJ, Structured Professional Judgment, SPJ Framework | LSI-R, LSI-R-SV, Andrews-Bonta Risk Assessment |
| Связанные | 4 | 4 |
| Сводка≠ | The Structured Professional Judgment (SPJ) framework represents a contemporary approach to forensic risk assessment that synthesizes clinical judgment with empirical evidence of risk factors. Rather than producing a numerical score, SPJ guides clinicians through systematic evaluation of case-specific evidence to arrive at a structured, transparent categorical risk judgment. SPJ has become the preferred methodology in many forensic settings globally and underlies instruments such as the HCR-20v3 (violence risk) and sexual offender assessment protocols. | 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. |
| ScholarGateНабор данных ↗ |
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