Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/39131 |
Resumo: | Recently Knüsel (2008) proposed a new method of orthogonal rotation based on chi-square statistic, the Chisquaremax criterion. However, its performance has not yet been evaluated for the effect of outliers. Thus, we assessed the factorial model with Chisquaremax criterion for the effect of outliers using Monte Carlo simulation techniques in different scenarios. The efficiency of covariance matrix estimator provided by the factorial model using either Chisquaremax or Promax criteria was not affected by the presence of outliers. The orthogonal factorial model using Chisquaremax criterion showed better goodness of fit than the results obtained with Promax criterion. |
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Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliersCritério de rotação chisquaremax em análise fatorial: uma avaliação Monte Carlo sobre o efeito de outliersResiduesResíduosRecently Knüsel (2008) proposed a new method of orthogonal rotation based on chi-square statistic, the Chisquaremax criterion. However, its performance has not yet been evaluated for the effect of outliers. Thus, we assessed the factorial model with Chisquaremax criterion for the effect of outliers using Monte Carlo simulation techniques in different scenarios. The efficiency of covariance matrix estimator provided by the factorial model using either Chisquaremax or Promax criteria was not affected by the presence of outliers. The orthogonal factorial model using Chisquaremax criterion showed better goodness of fit than the results obtained with Promax criterion.Recentemente, Knüsel (2008) propôs um novo método de rotação ortogonal, denominado por critério Chisquaremax,baseado na estatística qui-quadrado, o desempenho desse critério não foi avaliado em relação ao efeito de outliers. Frente à esta questão, este trabalho teve por objetivo estudar o modelo fatorial utilizando o critério de rotação Chisquaremax em relação ao efeito de outliers, servindo-se de técnicas de simulação Monte Carlo em diferentes cenários. Concluiu-se que a eficiência do estimador da matriz de covariância proporcionada pelo modelo fatorial utilizando o critério Chisquaremax e Promax não foi afetada pela presença de outliers. O modelo fatorial ortogonal aplicando o critério Chisquaremax apresentou melhores índices de qualidade de ajuste em comparação aos resultados obtidos para o critério Promax.Universidade Estadual de Maringá2020-03-04T17:04:28Z2020-03-04T17:04:28Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfPEREIRA, T. M.; CIRILLO, M. A.; OLIVEIRA, F. L. P. de. Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers. Acta Scientiarum. Technology, Maringá, v. 36, n. 4, p. 643-649, 2014.http://repositorio.ufla.br/jspui/handle/1/39131Acta Scientiarum. Technologyreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessPereira, Tiago MartinsCirillo, Marcelo ÂngeloOliveira, Fernando Luiz Pereira deeng2020-03-04T17:04:51Zoai:localhost:1/39131Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-03-04T17:04:51Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers Critério de rotação chisquaremax em análise fatorial: uma avaliação Monte Carlo sobre o efeito de outliers |
title |
Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers |
spellingShingle |
Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers Pereira, Tiago Martins Residues Resíduos |
title_short |
Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers |
title_full |
Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers |
title_fullStr |
Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers |
title_full_unstemmed |
Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers |
title_sort |
Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers |
author |
Pereira, Tiago Martins |
author_facet |
Pereira, Tiago Martins Cirillo, Marcelo Ângelo Oliveira, Fernando Luiz Pereira de |
author_role |
author |
author2 |
Cirillo, Marcelo Ângelo Oliveira, Fernando Luiz Pereira de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Pereira, Tiago Martins Cirillo, Marcelo Ângelo Oliveira, Fernando Luiz Pereira de |
dc.subject.por.fl_str_mv |
Residues Resíduos |
topic |
Residues Resíduos |
description |
Recently Knüsel (2008) proposed a new method of orthogonal rotation based on chi-square statistic, the Chisquaremax criterion. However, its performance has not yet been evaluated for the effect of outliers. Thus, we assessed the factorial model with Chisquaremax criterion for the effect of outliers using Monte Carlo simulation techniques in different scenarios. The efficiency of covariance matrix estimator provided by the factorial model using either Chisquaremax or Promax criteria was not affected by the presence of outliers. The orthogonal factorial model using Chisquaremax criterion showed better goodness of fit than the results obtained with Promax criterion. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2020-03-04T17:04:28Z 2020-03-04T17:04:28Z |
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 |
PEREIRA, T. M.; CIRILLO, M. A.; OLIVEIRA, F. L. P. de. Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers. Acta Scientiarum. Technology, Maringá, v. 36, n. 4, p. 643-649, 2014. http://repositorio.ufla.br/jspui/handle/1/39131 |
identifier_str_mv |
PEREIRA, T. M.; CIRILLO, M. A.; OLIVEIRA, F. L. P. de. Chisquaremax rotation criterion in factor analysis: a Monte Carlo assessment of the effect of outliers. Acta Scientiarum. Technology, Maringá, v. 36, n. 4, p. 643-649, 2014. |
url |
http://repositorio.ufla.br/jspui/handle/1/39131 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Technology reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1807835049783984128 |