विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| Level of Service Inventory-Revised× | Recidivism Survival Analysis× | |
|---|---|---|
| क्षेत्र | Criminology | Criminology |
| परिवार≠ | Process / pipeline | Survival analysis |
| उद्भव वर्ष≠ | 1995 | 1988 |
| प्रवर्तक≠ | Donald A. Andrews & James Bonta | David R. Cox (method); Peter Schmidt & Ann Dryden Witte (criminological application) |
| प्रकार≠ | Actuarial risk/needs assessment instrument | Time-to-event regression for reoffending |
| मौलिक स्रोत≠ | Andrews, D. A., & Bonta, J. (2010). The Psychology of Criminal Conduct (5th ed.). Routledge/Anderson. ISBN: 9781422463291 | Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗ |
| उपनाम | LSI-R, Level of Service Inventory, Level of Service Inventory Revised, LSI-R Assessment | Time-to-Recidivism Modeling, Recidivism Hazard Modeling, Failure-Time Analysis of Reoffending, Survival Analysis of Reoffending |
| संबंधित | 4 | 4 |
| सारांश≠ | The Level of Service Inventory-Revised (LSI-R) is a 54-item actuarial assessment of offender risk and need that operationalizes the Risk-Need-Responsivity model. Items spanning ten criminogenic domains are scored and summed into a total that places an offender in a recidivism-risk band, making the LSI-R one of the most widely used and validated correctional case-management instruments in the world. | Recidivism survival analysis models the time from a release or index event until an individual reoffends, treating reoffending as a time-to-event ('failure') outcome with censoring for those not observed to fail. It applies survival methods — Kaplan-Meier curves, Cox proportional-hazards regression, and split-population models — to answer not just whether someone recidivates but how quickly and what raises or lowers that risk over time. |
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