Examination of a bifactor model of the Obsessive-Compulsive Inventory-Revised
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Publication Date: | 2022 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-82312022000200241 |
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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Examination of a bifactor model of the Obsessive-Compulsive Inventory-RevisedObsessive compulsive disorderBifactor modelOCI-R.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.ISPA-Instituto Universitário2022-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-82312022000200241Análise Psicológica v.40 n.2 2022reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-82312022000200241Faria,MiguelSargento,PauloBranco,MartaTeixeira,Mónicainfo:eu-repo/semantics/openAccess2024-02-06T17:01:00Zoai:scielo:S0870-82312022000200241Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:51:01.719246Repositórios 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 |
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,Miguel Obsessive compulsive disorder Bifactor model 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,Miguel |
author_facet |
Faria,Miguel Sargento,Paulo Branco,Marta Teixeira,Mónica |
author_role |
author |
author2 |
Sargento,Paulo Branco,Marta Teixeira,Mónica |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Faria,Miguel Sargento,Paulo Branco,Marta Teixeira,Mónica |
dc.subject.por.fl_str_mv |
Obsessive compulsive disorder Bifactor model OCI-R. |
topic |
Obsessive compulsive disorder Bifactor model 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 |
2022-12-01 |
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://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-82312022000200241 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-82312022000200241 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-82312022000200241 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
ISPA-Instituto Universitário |
publisher.none.fl_str_mv |
ISPA-Instituto Universitário |
dc.source.none.fl_str_mv |
Análise Psicológica v.40 n.2 2022 reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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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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