POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES

Scientific advances and software development have increased the amount of exploratory and confirmatory studies in psychometric research. Regularly these studies use Pearson´s correlation coefficient, which was originally conceived to be used with continuous variables, and later was extended to categ...

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Detalles Bibliográficos
Autores: Freiberg Hoffmann, Agustín, Stover, Juliana Beatriz, de la Iglesia, Guadalupe, Fernández Liporace, Mercedes
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:Uruguay
Institución:Universidad Católica del Uruguay
Repositorio:LIBERI
Idioma:español
OAI Identifier:oai:liberi.ucu.edu.uy:10895/5346
Acceso en línea:https://revistas.ucu.edu.uy/index.php/cienciaspsicologicas/article/view/1057
https://hdl.handle.net/10895/5346
Access Level:acceso abierto
Palabra clave:correlaciones tetracóricas
correlaciones policóricas
análisis factorial
variables categóricas
ítems ordinales
ítems dicotómicos
tetrachoric correlations
polychoric correlations
factor analysis
categorical variables
ordinal items
dichotomous items
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spelling Freiberg Hoffmann, AgustínStover, Juliana Beatrizde la Iglesia, GuadalupeFernández Liporace, Mercedes2013-11-302025-12-22T16:34:12Z2025-12-22T16:34:12Zhttps://revistas.ucu.edu.uy/index.php/cienciaspsicologicas/article/view/105710.22235/cp.v7i1.1057https://hdl.handle.net/10895/5346Scientific advances and software development have increased the amount of exploratory and confirmatory studies in psychometric research. Regularly these studies use Pearson´s correlation coefficient, which was originally conceived to be used with continuous variables, and later was extended to categorical items (dichotomous or polytomous). Currently, improved statistical packages allow scientists to carry on robust procedures, designed specifically for categorical variables, among which stand out tetrachoric and polychoric correlations. Since most of psychometric scales consist in dichotomous and polytomous items (mainly Likert formats), the analysis of such correlations becomes methodologically relevant. This paper presents some peculiarities about the use of these statistics, different software packages to facilitate their implementation, as well as the usual problems associated with its employment, and the possible solutions are discussed. El incremento de estudios exploratorios y confirmatorios en psicometría debido al avance tecnológico obliga a revisar su metodología. Generalmente estos estudios utilizan el coeficiente de correlación r de Pearson, diseñado para variables continuas y extendido posteriormente a las categóricas (dicotómicas o politómicas). Los paquetes estadísticos actuales permiten aplicar procedimientos robustos ideados específicamente para variables categóricas, entre los que se destacan las correlaciones tetracóricas y policóricas, cuya relevancia metodológica radica en que la mayoría de las escalas psicométricas se compone de reactivos dicotómicos y politómicos (principalmente formatos Likert). El presente trabajo expone en primer lugar particularidades vinculadas al uso de estos estadísticos, softwares que facilitan su ejecución, problemas asociados a su aplicación y posibles soluciones a los mismos. En segundo término se ejemplifican ambas metodologías tanto en análisis factorial exploratorio como confirmatorio.application/pdfspaUniversidad Católica del Uruguayhttps://revistas.ucu.edu.uy/index.php/cienciaspsicologicas/article/view/1057/1044Derechos de autor 2013 Universidad Católica del Uruguayhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCiencias Psicológicas; 2013; Volumen 7 (2); 151-164Ciencias Psicológicas; 2013; Volumen 7 (2); 151-164Ciencias Psicológicas; 2013; Volumen 7 (2); 151-1641688-422110.22235/cp.v7i1reponame:LIBERIinstname:Universidad Católica del Uruguayinstacron:Universidad Católica del Uruguaycorrelaciones tetracóricascorrelaciones policóricasanálisis factorialvariables categóricasítems ordinalesítems dicotómicostetrachoric correlationspolychoric correlationsfactor analysiscategorical variablesordinal itemsdichotomous itemsPOLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIESCORRELACIONES POLICÓRICAS Y TETRACÓRICAS EN ESTUDIOS FACTORIALES EXPLORATORIOS Y CONFIRMATORIOSinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/publishedVersion10895/53462025-12-22 13:34:12.5metadata.onlyoai:liberi.ucu.edu.uy:10895/5346https://liberi.ucu.edu.uyInstitucionalhttps://liberi.ucu.edu.uy/Universidad privadahttps://www.ucu.edu.uy/https://liberi.ucu.edu.uy/server/oaifranco.pertusso@ucu.edu.uyUruguayopendoar:103422026-07-16T06:46:51.600971LIBERI - Universidad Católica del Uruguaytrue
dc.title.none.fl_str_mv POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES
CORRELACIONES POLICÓRICAS Y TETRACÓRICAS EN ESTUDIOS FACTORIALES EXPLORATORIOS Y CONFIRMATORIOS
title POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES
spellingShingle POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES
Freiberg Hoffmann, Agustín
correlaciones tetracóricas
correlaciones policóricas
análisis factorial
variables categóricas
ítems ordinales
ítems dicotómicos
tetrachoric correlations
polychoric correlations
factor analysis
categorical variables
ordinal items
dichotomous items
title_short POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES
title_full POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES
title_fullStr POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES
title_full_unstemmed POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES
title_sort POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES
dc.creator.none.fl_str_mv Freiberg Hoffmann, Agustín
Stover, Juliana Beatriz
de la Iglesia, Guadalupe
Fernández Liporace, Mercedes
author Freiberg Hoffmann, Agustín
author_facet Freiberg Hoffmann, Agustín
Stover, Juliana Beatriz
de la Iglesia, Guadalupe
Fernández Liporace, Mercedes
author_role author
author2 Stover, Juliana Beatriz
de la Iglesia, Guadalupe
Fernández Liporace, Mercedes
author2_role author
author
author
dc.subject.es-ES.fl_str_mv correlaciones tetracóricas
correlaciones policóricas
análisis factorial
variables categóricas
ítems ordinales
ítems dicotómicos
topic correlaciones tetracóricas
correlaciones policóricas
análisis factorial
variables categóricas
ítems ordinales
ítems dicotómicos
tetrachoric correlations
polychoric correlations
factor analysis
categorical variables
ordinal items
dichotomous items
dc.subject.en-US.fl_str_mv tetrachoric correlations
polychoric correlations
factor analysis
categorical variables
ordinal items
dichotomous items
description Scientific advances and software development have increased the amount of exploratory and confirmatory studies in psychometric research. Regularly these studies use Pearson´s correlation coefficient, which was originally conceived to be used with continuous variables, and later was extended to categorical items (dichotomous or polytomous). Currently, improved statistical packages allow scientists to carry on robust procedures, designed specifically for categorical variables, among which stand out tetrachoric and polychoric correlations. Since most of psychometric scales consist in dichotomous and polytomous items (mainly Likert formats), the analysis of such correlations becomes methodologically relevant. This paper presents some peculiarities about the use of these statistics, different software packages to facilitate their implementation, as well as the usual problems associated with its employment, and the possible solutions are discussed. 
publishDate 2013
dc.date.accessioned.none.fl_str_mv 2025-12-22T16:34:12Z
dc.date.available.none.fl_str_mv 2025-12-22T16:34:12Z
dc.date.none.fl_str_mv 2013-11-30
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.ucu.edu.uy/index.php/cienciaspsicologicas/article/view/1057
10.22235/cp.v7i1.1057
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10895/5346
url https://revistas.ucu.edu.uy/index.php/cienciaspsicologicas/article/view/1057
https://hdl.handle.net/10895/5346
identifier_str_mv 10.22235/cp.v7i1.1057
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.ucu.edu.uy/index.php/cienciaspsicologicas/article/view/1057/1044
dc.rights.es-ES.fl_str_mv Derechos de autor 2013 Universidad Católica del Uruguay
http://creativecommons.org/licenses/by/4.0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2013 Universidad Católica del Uruguay
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.es-ES.fl_str_mv Universidad Católica del Uruguay
dc.source.en-US.fl_str_mv Ciencias Psicológicas; 2013; Volumen 7 (2); 151-164
dc.source.es-ES.fl_str_mv Ciencias Psicológicas; 2013; Volumen 7 (2); 151-164
dc.source.pt-PT.fl_str_mv Ciencias Psicológicas; 2013; Volumen 7 (2); 151-164
dc.source.none.fl_str_mv 1688-4221
10.22235/cp.v7i1
reponame:LIBERI
instname:Universidad Católica del Uruguay
instacron:Universidad Católica del Uruguay
instname_str Universidad Católica del Uruguay
instacron_str Universidad Católica del Uruguay
institution Universidad Católica del Uruguay
reponame_str LIBERI
collection LIBERI
repository.name.fl_str_mv LIBERI - Universidad Católica del Uruguay
repository.mail.fl_str_mv franco.pertusso@ucu.edu.uy
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