The manifest association structure of the single-factor model: insights from partial correlations
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://ciencia.iscte-iul.pt/id/ci-pub-10338 http://hdl.handle.net/10071/14449 |
Resumo: | The association structure between manifest variables arising from the single-factor model is investigated using partial correlations. The additional insights to the practitioner provided by partial correlations for detecting a single-factor model are discussed. The parameter space for the partial correlations is presented, as are the patterns of signs in a matrix containing the partial correlations that are not compatible with a single-factor model. |
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The manifest association structure of the single-factor model: insights from partial correlationsAnti-image correlation matrixElliptical tetrahedronFactor analysisFactor partial correlationManifest partial correlationThe association structure between manifest variables arising from the single-factor model is investigated using partial correlations. The additional insights to the practitioner provided by partial correlations for detecting a single-factor model are discussed. The parameter space for the partial correlations is presented, as are the patterns of signs in a matrix containing the partial correlations that are not compatible with a single-factor model.Springer Verlag2017-09-22T14:04:28Z2008-01-01T00:00:00Z20082017-09-22T14:03:02Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/id/ci-pub-10338http://hdl.handle.net/10071/14449eng0033-312310.1007/s11336-007-9037-9Salgueiro, M. F.Smith, P. W. F.McDonald, J. W.info: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:RCAAP2023-11-09T17:43:18Zoai:repositorio.iscte-iul.pt:10071/14449Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:20:21.900938Repositório 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 |
The manifest association structure of the single-factor model: insights from partial correlations |
title |
The manifest association structure of the single-factor model: insights from partial correlations |
spellingShingle |
The manifest association structure of the single-factor model: insights from partial correlations Salgueiro, M. F. Anti-image correlation matrix Elliptical tetrahedron Factor analysis Factor partial correlation Manifest partial correlation |
title_short |
The manifest association structure of the single-factor model: insights from partial correlations |
title_full |
The manifest association structure of the single-factor model: insights from partial correlations |
title_fullStr |
The manifest association structure of the single-factor model: insights from partial correlations |
title_full_unstemmed |
The manifest association structure of the single-factor model: insights from partial correlations |
title_sort |
The manifest association structure of the single-factor model: insights from partial correlations |
author |
Salgueiro, M. F. |
author_facet |
Salgueiro, M. F. Smith, P. W. F. McDonald, J. W. |
author_role |
author |
author2 |
Smith, P. W. F. McDonald, J. W. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Salgueiro, M. F. Smith, P. W. F. McDonald, J. W. |
dc.subject.por.fl_str_mv |
Anti-image correlation matrix Elliptical tetrahedron Factor analysis Factor partial correlation Manifest partial correlation |
topic |
Anti-image correlation matrix Elliptical tetrahedron Factor analysis Factor partial correlation Manifest partial correlation |
description |
The association structure between manifest variables arising from the single-factor model is investigated using partial correlations. The additional insights to the practitioner provided by partial correlations for detecting a single-factor model are discussed. The parameter space for the partial correlations is presented, as are the patterns of signs in a matrix containing the partial correlations that are not compatible with a single-factor model. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-01-01T00:00:00Z 2008 2017-09-22T14:04:28Z 2017-09-22T14:03:02Z |
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 |
https://ciencia.iscte-iul.pt/id/ci-pub-10338 http://hdl.handle.net/10071/14449 |
url |
https://ciencia.iscte-iul.pt/id/ci-pub-10338 http://hdl.handle.net/10071/14449 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0033-3123 10.1007/s11336-007-9037-9 |
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 |
Springer Verlag |
publisher.none.fl_str_mv |
Springer Verlag |
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) |
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 |
repository.mail.fl_str_mv |
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1799134763729027072 |