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Forecasting Stalking Recidivism Using the Guidelines for Stalking Assessment and Management (SAM)
We examined the long-term risk for stalking recidivism and the predictive validity of ratings made using the Guidelines for Stalking Assessment and Management (SAM) in 100 stalking offenders from a forensic clinic. Overall, 45 offenders were convicted of, charged with, or the subject of police inves...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149883/ https://www.ncbi.nlm.nih.gov/pubmed/35435005 http://dx.doi.org/10.1177/10731911221086050 |
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author | Coupland, Sarah H. Storey, Jennifer E. Kropp, P. Randall Hart, Stephen D. |
author_facet | Coupland, Sarah H. Storey, Jennifer E. Kropp, P. Randall Hart, Stephen D. |
author_sort | Coupland, Sarah H. |
collection | PubMed |
description | We examined the long-term risk for stalking recidivism and the predictive validity of ratings made using the Guidelines for Stalking Assessment and Management (SAM) in 100 stalking offenders from a forensic clinic. Overall, 45 offenders were convicted of, charged with, or the subject of police investigation for stalking-related offenses during a potential time at risk that averaged 13.47 years. Survival analyses using the Cox proportional hazards model indicated that a composite score of the presence of SAM risk factors was significantly predictive of recidivism and had significant incremental validity relative to total scores on two scales commonly used in violence risk assessment, the Screening Version of the Hare Psychopathy Checklist–Revised (PCL:SV) and the Violence Risk Appraisal Guide (VRAG). Overall ratings of risk made using the SAM, however, were not significantly predictive of recidivism. We discuss the potential uses of the SAM in stalking risk assessment and provide recommendations for future research. |
format | Online Article Text |
id | pubmed-10149883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-101498832023-05-02 Forecasting Stalking Recidivism Using the Guidelines for Stalking Assessment and Management (SAM) Coupland, Sarah H. Storey, Jennifer E. Kropp, P. Randall Hart, Stephen D. Assessment Articles We examined the long-term risk for stalking recidivism and the predictive validity of ratings made using the Guidelines for Stalking Assessment and Management (SAM) in 100 stalking offenders from a forensic clinic. Overall, 45 offenders were convicted of, charged with, or the subject of police investigation for stalking-related offenses during a potential time at risk that averaged 13.47 years. Survival analyses using the Cox proportional hazards model indicated that a composite score of the presence of SAM risk factors was significantly predictive of recidivism and had significant incremental validity relative to total scores on two scales commonly used in violence risk assessment, the Screening Version of the Hare Psychopathy Checklist–Revised (PCL:SV) and the Violence Risk Appraisal Guide (VRAG). Overall ratings of risk made using the SAM, however, were not significantly predictive of recidivism. We discuss the potential uses of the SAM in stalking risk assessment and provide recommendations for future research. SAGE Publications 2022-04-18 2023-06 /pmc/articles/PMC10149883/ /pubmed/35435005 http://dx.doi.org/10.1177/10731911221086050 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Articles Coupland, Sarah H. Storey, Jennifer E. Kropp, P. Randall Hart, Stephen D. Forecasting Stalking Recidivism Using the Guidelines for Stalking Assessment and Management (SAM) |
title | Forecasting Stalking Recidivism Using the Guidelines for Stalking Assessment and Management (SAM) |
title_full | Forecasting Stalking Recidivism Using the Guidelines for Stalking Assessment and Management (SAM) |
title_fullStr | Forecasting Stalking Recidivism Using the Guidelines for Stalking Assessment and Management (SAM) |
title_full_unstemmed | Forecasting Stalking Recidivism Using the Guidelines for Stalking Assessment and Management (SAM) |
title_short | Forecasting Stalking Recidivism Using the Guidelines for Stalking Assessment and Management (SAM) |
title_sort | forecasting stalking recidivism using the guidelines for stalking assessment and management (sam) |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149883/ https://www.ncbi.nlm.nih.gov/pubmed/35435005 http://dx.doi.org/10.1177/10731911221086050 |
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