Exploring the factor structure of neurocognitive measures in older individuals
Autor(a) principal: | |
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Data de Publicação: | 2015 |
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/1822/41041 |
Resumo: | Here we focus on factor analysis from a best practices point of view, by investigating the factor structure of neuropsychological tests and using the results obtained to illustrate on choosing a reasonable solution. The sample (n=1051 individuals) was randomly divided into two groups: one for exploratory factor analysis (EFA) and principal component analysis (PCA), to investigate the number of factors underlying the neurocognitive variables; the second to test the "best fit" model via confirmatory factor analysis (CFA). For the exploratory step, three extraction (maximum likelihood, principal axis factoring and principal components) and two rotation (orthogonal and oblique) methods were used. The analysis methodology allowed exploring how different cognitive/psychological tests correlated/discriminated between dimensions, indicating that to capture latent structures in similar sample sizes and measures, with approximately normal data distribution, reflective models with oblimin rotation might prove the most adequate. |
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Exploring the factor structure of neurocognitive measures in older individualsCiências Médicas::Medicina ClínicaScience & TechnologyHere we focus on factor analysis from a best practices point of view, by investigating the factor structure of neuropsychological tests and using the results obtained to illustrate on choosing a reasonable solution. The sample (n=1051 individuals) was randomly divided into two groups: one for exploratory factor analysis (EFA) and principal component analysis (PCA), to investigate the number of factors underlying the neurocognitive variables; the second to test the "best fit" model via confirmatory factor analysis (CFA). For the exploratory step, three extraction (maximum likelihood, principal axis factoring and principal components) and two rotation (orthogonal and oblique) methods were used. The analysis methodology allowed exploring how different cognitive/psychological tests correlated/discriminated between dimensions, indicating that to capture latent structures in similar sample sizes and measures, with approximately normal data distribution, reflective models with oblimin rotation might prove the most adequate.The study is integrated in the ‘‘Maintaining health in old age through homeostasis (SWITCHBOX)’’ (http://www.switchbox-online.eu/) collaborative project funded by the European Commission FP7 initiative (grant HEALTH-F2-2010-259772) and co-financed by the Portuguese North Regional Operational Program (ON.2 – O Novo Norte) under the National Strategic Reference Framework (QREN), through the European Regional Development Fund (FEDER). NCS is supported by a SwitchBox post-doctoral fellowship, LA and PSM are supported by "MyHealth” project (Contract DoIT-13853)" doctoral fellowships.Public Library of ScienceUniversidade do MinhoSantos, Nadine CorreiaCosta, Patrício SoaresAmorim, LilianaMoreira, Pedro Miguel SilvaCunha, Pedro GuimarãesCotter, JorgeSousa, Nuno20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/41041engSantos NC, Costa PS, Amorim L, Moreira PS, Cunha P, Cotter J, et al. (2015) Exploring the Factor Structure of Neurocognitive Measures in Older Individuals. PLoS ONE 10(4)1932-620310.1371/journal.pone.012422925880732http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0124229info: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:RCAAP2023-07-21T12:28:12Zoai:repositorium.sdum.uminho.pt:1822/41041Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:22:57.527582Repositório 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 |
Exploring the factor structure of neurocognitive measures in older individuals |
title |
Exploring the factor structure of neurocognitive measures in older individuals |
spellingShingle |
Exploring the factor structure of neurocognitive measures in older individuals Santos, Nadine Correia Ciências Médicas::Medicina Clínica Science & Technology |
title_short |
Exploring the factor structure of neurocognitive measures in older individuals |
title_full |
Exploring the factor structure of neurocognitive measures in older individuals |
title_fullStr |
Exploring the factor structure of neurocognitive measures in older individuals |
title_full_unstemmed |
Exploring the factor structure of neurocognitive measures in older individuals |
title_sort |
Exploring the factor structure of neurocognitive measures in older individuals |
author |
Santos, Nadine Correia |
author_facet |
Santos, Nadine Correia Costa, Patrício Soares Amorim, Liliana Moreira, Pedro Miguel Silva Cunha, Pedro Guimarães Cotter, Jorge Sousa, Nuno |
author_role |
author |
author2 |
Costa, Patrício Soares Amorim, Liliana Moreira, Pedro Miguel Silva Cunha, Pedro Guimarães Cotter, Jorge Sousa, Nuno |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Santos, Nadine Correia Costa, Patrício Soares Amorim, Liliana Moreira, Pedro Miguel Silva Cunha, Pedro Guimarães Cotter, Jorge Sousa, Nuno |
dc.subject.por.fl_str_mv |
Ciências Médicas::Medicina Clínica Science & Technology |
topic |
Ciências Médicas::Medicina Clínica Science & Technology |
description |
Here we focus on factor analysis from a best practices point of view, by investigating the factor structure of neuropsychological tests and using the results obtained to illustrate on choosing a reasonable solution. The sample (n=1051 individuals) was randomly divided into two groups: one for exploratory factor analysis (EFA) and principal component analysis (PCA), to investigate the number of factors underlying the neurocognitive variables; the second to test the "best fit" model via confirmatory factor analysis (CFA). For the exploratory step, three extraction (maximum likelihood, principal axis factoring and principal components) and two rotation (orthogonal and oblique) methods were used. The analysis methodology allowed exploring how different cognitive/psychological tests correlated/discriminated between dimensions, indicating that to capture latent structures in similar sample sizes and measures, with approximately normal data distribution, reflective models with oblimin rotation might prove the most adequate. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z |
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/1822/41041 |
url |
http://hdl.handle.net/1822/41041 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Santos NC, Costa PS, Amorim L, Moreira PS, Cunha P, Cotter J, et al. (2015) Exploring the Factor Structure of Neurocognitive Measures in Older Individuals. PLoS ONE 10(4) 1932-6203 10.1371/journal.pone.0124229 25880732 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0124229 |
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 |
Public Library of Science |
publisher.none.fl_str_mv |
Public Library of Science |
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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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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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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1799132702068178944 |