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https://hdl.handle.net/1822/41041
Título: | Exploring the factor structure of neurocognitive measures in older individuals |
Autor(es): | Santos, Nadine Correia Costa, Patrício Soares Amorim, Liliana Moreira, Pedro Miguel Silva Cunha, Pedro Guimarães Cotter, Jorge Sousa, Nuno |
Data: | 2015 |
Editora: | Public Library of Science |
Revista: | PLoS ONE |
Citação: | 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) |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/41041 |
DOI: | 10.1371/journal.pone.0124229 |
ISSN: | 1932-6203 |
Versão da editora: | http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0124229 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | ICVS - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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santosnc costaps et al_ageing factoranalysis.pdf | 272,73 kB | Adobe PDF | Ver/Abrir |