How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.12/7201 |
Resumo: | Recidivism risk assessment is central to addressing criminogenic needs among youth offenders. To accomplish this, the Youth Level of Service/Case Management Inventory (YLS/CMI) is worldwide used, but it is long and has limited predictive validity for minority populations. This study presents a particularly predictive combination of seven items that overcomes these limitations. A sample of 430 Spanish youth offenders participated in this study. The YLS/CMI long version was filled out and reconvictions were collected over a 2-year period. Results show that this combination of seven items reduced more than 80% of the inventory and improved the predictive validity, globally and for minorities. The items that were included were related to psychopathic traits and the lack of protective role models. Therefore, this specific combination of YLS/CMI items has considerable higher predictive validity across gender and culture, and may be useful to practitioners in this field. |
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7160 |
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How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of ItemsSocial decision making networkSocial competenceImmediate early genesAndrogensChallenge hypothesisRecidivism risk assessment is central to addressing criminogenic needs among youth offenders. To accomplish this, the Youth Level of Service/Case Management Inventory (YLS/CMI) is worldwide used, but it is long and has limited predictive validity for minority populations. This study presents a particularly predictive combination of seven items that overcomes these limitations. A sample of 430 Spanish youth offenders participated in this study. The YLS/CMI long version was filled out and reconvictions were collected over a 2-year period. Results show that this combination of seven items reduced more than 80% of the inventory and improved the predictive validity, globally and for minorities. The items that were included were related to psychopathic traits and the lack of protective role models. Therefore, this specific combination of YLS/CMI items has considerable higher predictive validity across gender and culture, and may be useful to practitioners in this field.Frontiers Media S.A.Repositório do ISPAVillanueva, LidónPereira, Miguel BastoCuervo, Keren2019-10-22T15:51:14Z2019-01-01T00:00:00Z2019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.12/7201eng1662515310.1177/0306624X19881926info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-05T16:42:54Zoai:repositorio.ispa.pt:10400.12/7201Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:25:01.432444Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items |
title |
How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items |
spellingShingle |
How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items Villanueva, Lidón Social decision making network Social competence Immediate early genes Androgens Challenge hypothesis |
title_short |
How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items |
title_full |
How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items |
title_fullStr |
How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items |
title_full_unstemmed |
How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items |
title_sort |
How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items |
author |
Villanueva, Lidón |
author_facet |
Villanueva, Lidón Pereira, Miguel Basto Cuervo, Keren |
author_role |
author |
author2 |
Pereira, Miguel Basto Cuervo, Keren |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório do ISPA |
dc.contributor.author.fl_str_mv |
Villanueva, Lidón Pereira, Miguel Basto Cuervo, Keren |
dc.subject.por.fl_str_mv |
Social decision making network Social competence Immediate early genes Androgens Challenge hypothesis |
topic |
Social decision making network Social competence Immediate early genes Androgens Challenge hypothesis |
description |
Recidivism risk assessment is central to addressing criminogenic needs among youth offenders. To accomplish this, the Youth Level of Service/Case Management Inventory (YLS/CMI) is worldwide used, but it is long and has limited predictive validity for minority populations. This study presents a particularly predictive combination of seven items that overcomes these limitations. A sample of 430 Spanish youth offenders participated in this study. The YLS/CMI long version was filled out and reconvictions were collected over a 2-year period. Results show that this combination of seven items reduced more than 80% of the inventory and improved the predictive validity, globally and for minorities. The items that were included were related to psychopathic traits and the lack of protective role models. Therefore, this specific combination of YLS/CMI items has considerable higher predictive validity across gender and culture, and may be useful to practitioners in this field. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-22T15:51:14Z 2019-01-01T00:00:00Z 2019-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.12/7201 |
url |
http://hdl.handle.net/10400.12/7201 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
16625153 10.1177/0306624X19881926 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Frontiers Media S.A. |
publisher.none.fl_str_mv |
Frontiers Media S.A. |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799130112201850880 |