Examination of a bifactor model of the Obsessive-Compulsive Inventory- Revised

Bibliographic Details
Main Author: Faria, M.
Publication Date: 2022
Other Authors: Sargento, P., Branco, Marta, Teixeira, Mónica
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.12/8887
Summary: Abstract: The current study evaluated a bifactor model for the Obsessive-Compulsive Inventory Revised (OCI-R) in two samples, with (n=188) and without (n=408) obsessive-compulsive disorder (OCD). Since the OCI-R has been traditionally conceptualized as a correlated six-factor instrument, our goal was to evaluate the fit of a bifactor model against three competing models (one general factor, six correlated factors and a hierarchical model). Results revealed that the bifactor model presented the best fit and that all OCI-R items were influenced by a general factor and by one of the six dimensions. Model-based reliability estimated via Omega hierarchical for the total score suggested that OCI-R items are multidimensional, with the general obsessive-compulsive (OC) factor accounting for little more than half of the variability in the items of the total score, with the remaining variability accounted for by the specific OC domains and other sources of variance. Measurement invariance of the bifactor model was also supported among those with and without OCD. Implications for better understanding the structure and further use of the OCI-R are discussed.
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spelling Examination of a bifactor model of the Obsessive-Compulsive Inventory- RevisedAdequação dum modelo bifatorial ao Obsessive Compulsive Inventory-RevisedObsessive compulsive disorderBifactor modelOCI-RPerturbação obsessivo-compulsivaModelo bifatorialOCI-RAbstract: The current study evaluated a bifactor model for the Obsessive-Compulsive Inventory Revised (OCI-R) in two samples, with (n=188) and without (n=408) obsessive-compulsive disorder (OCD). Since the OCI-R has been traditionally conceptualized as a correlated six-factor instrument, our goal was to evaluate the fit of a bifactor model against three competing models (one general factor, six correlated factors and a hierarchical model). Results revealed that the bifactor model presented the best fit and that all OCI-R items were influenced by a general factor and by one of the six dimensions. Model-based reliability estimated via Omega hierarchical for the total score suggested that OCI-R items are multidimensional, with the general obsessive-compulsive (OC) factor accounting for little more than half of the variability in the items of the total score, with the remaining variability accounted for by the specific OC domains and other sources of variance. Measurement invariance of the bifactor model was also supported among those with and without OCD. Implications for better understanding the structure and further use of the OCI-R are discussed.Edições ISPARepositório do ISPAFaria, M.Sargento, P.Branco, MartaTeixeira, Mónica2022-12-27T12:54:57Z2022-122022-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.12/8887eng0870-823110.14417/ap.1885info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T15:09:41Zoai:repositorio.ispa.pt:10400.12/8887Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T01:13:06.658425Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Examination of a bifactor model of the Obsessive-Compulsive Inventory- Revised
Adequação dum modelo bifatorial ao Obsessive Compulsive Inventory-Revised
title Examination of a bifactor model of the Obsessive-Compulsive Inventory- Revised
spellingShingle Examination of a bifactor model of the Obsessive-Compulsive Inventory- Revised
Faria, M.
Obsessive compulsive disorder
Bifactor model
OCI-R
Perturbação obsessivo-compulsiva
Modelo bifatorial
OCI-R
title_short Examination of a bifactor model of the Obsessive-Compulsive Inventory- Revised
title_full Examination of a bifactor model of the Obsessive-Compulsive Inventory- Revised
title_fullStr Examination of a bifactor model of the Obsessive-Compulsive Inventory- Revised
title_full_unstemmed Examination of a bifactor model of the Obsessive-Compulsive Inventory- Revised
title_sort Examination of a bifactor model of the Obsessive-Compulsive Inventory- Revised
author Faria, M.
author_facet Faria, M.
Sargento, P.
Branco, Marta
Teixeira, Mónica
author_role author
author2 Sargento, P.
Branco, Marta
Teixeira, Mónica
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório do ISPA
dc.contributor.author.fl_str_mv Faria, M.
Sargento, P.
Branco, Marta
Teixeira, Mónica
dc.subject.por.fl_str_mv Obsessive compulsive disorder
Bifactor model
OCI-R
Perturbação obsessivo-compulsiva
Modelo bifatorial
OCI-R
topic Obsessive compulsive disorder
Bifactor model
OCI-R
Perturbação obsessivo-compulsiva
Modelo bifatorial
OCI-R
description Abstract: The current study evaluated a bifactor model for the Obsessive-Compulsive Inventory Revised (OCI-R) in two samples, with (n=188) and without (n=408) obsessive-compulsive disorder (OCD). Since the OCI-R has been traditionally conceptualized as a correlated six-factor instrument, our goal was to evaluate the fit of a bifactor model against three competing models (one general factor, six correlated factors and a hierarchical model). Results revealed that the bifactor model presented the best fit and that all OCI-R items were influenced by a general factor and by one of the six dimensions. Model-based reliability estimated via Omega hierarchical for the total score suggested that OCI-R items are multidimensional, with the general obsessive-compulsive (OC) factor accounting for little more than half of the variability in the items of the total score, with the remaining variability accounted for by the specific OC domains and other sources of variance. Measurement invariance of the bifactor model was also supported among those with and without OCD. Implications for better understanding the structure and further use of the OCI-R are discussed.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-27T12:54:57Z
2022-12
2022-12-01T00:00:00Z
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/10400.12/8887
url http://hdl.handle.net/10400.12/8887
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0870-8231
10.14417/ap.1885
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 Edições ISPA
publisher.none.fl_str_mv Edições ISPA
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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