How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items

Detalhes bibliográficos
Autor(a) principal: Villanueva, Lidón
Data de Publicação: 2019
Outros Autores: Pereira, Miguel Basto, Cuervo, Keren
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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spelling 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
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instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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