Polychoric/Tetrachoric Matrix or Pearson Matrix? A methodological study.

The use of product-moment correlation of Pearson is common in most studies in factor analysis in psychology, but it is known that this statistic is only applicable when the variables related are in interval scale and normally distributed, and when are used in ordinal data may to produce a distorted...

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Autor principal: Dominguez Lara, Sergio Alexis
Formato: Artículo revista
Lenguaje:Español
Publicado: Universidad Nacional de Córdoba 2014
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Acceso en línea:https://revistas.unc.edu.ar/index.php/racc/article/view/6357
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institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-10
container_title_str Revistas de la UNC
language Español
format Artículo revista
topic análisis factorial
matrices tetracóricas
matrices policóricas
validez
Psicología
Psicometría
factor analysis
polychoric matrix
tetrachoric matrix
validity
spellingShingle análisis factorial
matrices tetracóricas
matrices policóricas
validez
Psicología
Psicometría
factor analysis
polychoric matrix
tetrachoric matrix
validity
Dominguez Lara, Sergio Alexis
Polychoric/Tetrachoric Matrix or Pearson Matrix? A methodological study.
topic_facet análisis factorial
matrices tetracóricas
matrices policóricas
validez
Psicología
Psicometría
factor analysis
polychoric matrix
tetrachoric matrix
validity
author Dominguez Lara, Sergio Alexis
author_facet Dominguez Lara, Sergio Alexis
author_sort Dominguez Lara, Sergio Alexis
title Polychoric/Tetrachoric Matrix or Pearson Matrix? A methodological study.
title_short Polychoric/Tetrachoric Matrix or Pearson Matrix? A methodological study.
title_full Polychoric/Tetrachoric Matrix or Pearson Matrix? A methodological study.
title_fullStr Polychoric/Tetrachoric Matrix or Pearson Matrix? A methodological study.
title_full_unstemmed Polychoric/Tetrachoric Matrix or Pearson Matrix? A methodological study.
title_sort polychoric/tetrachoric matrix or pearson matrix? a methodological study.
description The use of product-moment correlation of Pearson is common in most studies in factor analysis in psychology, but it is known that this statistic is only applicable when the variables related are in interval scale and normally distributed, and when are used in ordinal data may to produce a distorted correlation matrix . Thus is a suitable option using polychoric/tetrachoric matrices in item-level factor analysis when the items are in level measurement nominal or ordinal. The aim of this study was to show the differences in the KMO, Bartlett`s Test and Determinant of the Matrix, percentage of variance explained and factor loadings in depression trait scale of Depression Inventory Trait - State and the Neuroticism dimension of the short form of the Eysenck Personality Questionnaire -Revised, regarding the use of matrices polychoric/tetrachoric matrices and Pearson. These instruments was analyzed with different extraction methods (Maximum Likelihood, Minimum Rank Factor Analysis, Unweighted Least Squares and Principal Components), keeping constant the rotation method Promin were analyzed. Were observed differences regarding sample adequacy measures, as well as with respect to the explained variance and the factor loadings, for solutions having as polychoric/tetrachoric matrix. So it can be concluded that the polychoric / tetrachoric matrix give better results than Pearson matrices when it comes to item-level factor analysis using different methods.
publisher Universidad Nacional de Córdoba
publishDate 2014
url https://revistas.unc.edu.ar/index.php/racc/article/view/6357
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