POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES
CORRELACIONES POLICÓRICAS Y TETRACÓRICAS EN ESTUDIOS FACTORIALES EXPLORATORIOS Y CONFIRMATORIOS
| 2013 | |
|
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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| Español | |
| Universidad Católica del Uruguay | |
| LIBERI | |
|
https://revistas.ucu.edu.uy/index.php/cienciaspsicologicas/article/view/1057
https://hdl.handle.net/10895/2958 |
|
| Acceso abierto |
| _version_ | 1815178698612015104 |
|---|---|
| author | Freiberg Hoffmann, Agustín |
| author2 | Stover, Juliana Beatriz de la Iglesia, Guadalupe Fernández Liporace, Mercedes |
| author2_role | author author author |
| author_facet | Freiberg Hoffmann, Agustín Stover, Juliana Beatriz de la Iglesia, Guadalupe Fernández Liporace, Mercedes |
| author_role | author |
| collection | LIBERI |
| dc.creator.none.fl_str_mv | Freiberg Hoffmann, Agustín Stover, Juliana Beatriz de la Iglesia, Guadalupe Fernández Liporace, Mercedes |
| dc.date.accessioned.none.fl_str_mv | 2023-08-31T18:53:11Z |
| dc.date.available.none.fl_str_mv | 2023-08-31T18:53:11Z |
| dc.date.none.fl_str_mv | 2013-11-30 |
| dc.description.en-US.fl_txt_mv | 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. |
| dc.description.es-ES.fl_txt_mv | 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. |
| dc.format.none.fl_str_mv | application/pdf |
| 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/10895/2958 |
| dc.language.iso.none.fl_str_mv | spa |
| dc.publisher.es-ES.fl_str_mv | Universidad Católica del Uruguay |
| 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 |
| 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.none.fl_str_mv | 1688-4221 10.22235/cp.v7i1 reponame:LIBERI instname:Universidad Católica del Uruguay instacron:Universidad Católica del Uruguay |
| dc.source.pt-PT.fl_str_mv | Ciencias Psicológicas; 2013; Volumen 7 (2); 151-164 |
| dc.subject.en-US.fl_str_mv | tetrachoric correlations polychoric correlations factor analysis categorical variables ordinal items dichotomous items |
| dc.subject.es-ES.fl_str_mv | correlaciones tetracóricas correlaciones policóricas análisis factorial variables categóricas ítems ordinales ítems dicotómicos |
| 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 |
| 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 |
| 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LIBERI_51e2a5c6609d1df1c7cb0565e2d5a19e |
| identifier_str_mv | 10.22235/cp.v7i1.1057 |
| instacron_str | Universidad Católica del Uruguay |
| institution | Universidad Católica del Uruguay |
| instname_str | Universidad Católica del Uruguay |
| language | spa |
| network_acronym_str | LIBERI |
| network_name_str | LIBERI |
| oai_identifier_str | oai:liberi.ucu.edu.uy:10895/2958 |
| publishDate | 2013 |
| reponame_str | LIBERI |
| repository.mail.fl_str_mv | franco.pertusso@ucu.edu.uy |
| repository.name.fl_str_mv | LIBERI - Universidad Católica del Uruguay |
| repository_id_str | 10342 |
| rights_invalid_str_mv | Derechos de autor 2013 Universidad Católica del Uruguay http://creativecommons.org/licenses/by/4.0 |
| spelling | Freiberg Hoffmann, AgustínStover, Juliana Beatrizde la Iglesia, GuadalupeFernández Liporace, Mercedes2013-11-302023-08-31T18:53:11Z2023-08-31T18:53:11Zhttps://revistas.ucu.edu.uy/index.php/cienciaspsicologicas/article/view/105710.22235/cp.v7i1.1057https://hdl.handle.net/10895/2958Scientific 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/publishedVersion10895/29582023-08-31 15:53:11.857oai:liberi.ucu.edu.uy:10895/2958Universidadhttps://www.ucu.edu.uy/https://liberi.ucu.edu.uy/oai/requestfranco.pertusso@ucu.edu.uyUruguayopendoar:103422023-08-31T18:53:11LIBERI - Universidad Católica del Uruguayfalse |
| 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 |
| status_str | publishedVersion |
| title | 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_short | POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES |
| title_sort | POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES |
| 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 |
| url | https://revistas.ucu.edu.uy/index.php/cienciaspsicologicas/article/view/1057 https://hdl.handle.net/10895/2958 |
