De Pearson a Spearman
ABSTRACT: article is about the Pearson and Spearman correlation coefficients which are widely used in agricultural sciences in order to establish the relationships between generally quantitative variables. It also contains the fundamental assumptions in which the Pearson method is based: bivariated...
- Autores:
-
Restrepo Betancur, Luis Fernando
González López, Julián
- Tipo de recurso:
- Review article
- Fecha de publicación:
- 2007
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- spa
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/7786
- Acceso en línea:
- http://hdl.handle.net/10495/7786
- Palabra clave:
- Coeficiente de Spearman
Correlación (Estadística)
Correlaciónde de Pearson
Modelos estadísticos
Supuestos
- Rights
- openAccess
- License
- Atribución-NoComercial-CompartirIgual 2.5 Colombia (CC BY-NC-SA 2.5 CO)
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| dc.title.spa.fl_str_mv |
De Pearson a Spearman |
| dc.title.alternative.spa.fl_str_mv |
From Pearson to Spearman |
| title |
De Pearson a Spearman |
| spellingShingle |
De Pearson a Spearman Coeficiente de Spearman Correlación (Estadística) Correlaciónde de Pearson Modelos estadísticos Supuestos |
| title_short |
De Pearson a Spearman |
| title_full |
De Pearson a Spearman |
| title_fullStr |
De Pearson a Spearman |
| title_full_unstemmed |
De Pearson a Spearman |
| title_sort |
De Pearson a Spearman |
| dc.creator.fl_str_mv |
Restrepo Betancur, Luis Fernando González López, Julián |
| dc.contributor.author.none.fl_str_mv |
Restrepo Betancur, Luis Fernando González López, Julián |
| dc.subject.none.fl_str_mv |
Coeficiente de Spearman Correlación (Estadística) Correlaciónde de Pearson Modelos estadísticos Supuestos |
| topic |
Coeficiente de Spearman Correlación (Estadística) Correlaciónde de Pearson Modelos estadísticos Supuestos |
| description |
ABSTRACT: article is about the Pearson and Spearman correlation coefficients which are widely used in agricultural sciences in order to establish the relationships between generally quantitative variables. It also contains the fundamental assumptions in which the Pearson method is based: bivariated normality, variable interaction linearity, as well as the programming Schedule in SAS software; in addition, the way in which SAS exits must be interpreted which oscillate between -1 ≤ ρ ≤ 1. |
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2007 |
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2007 |
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2017-07-27T13:51:08Z |
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2017-07-27T13:51:08Z |
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Restrepo LF, Gonzales J. De Pearson a Spearman. Rev. Colomb. Cienc. Pecu. 2007;20(2):183–191. |
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0120-0690 |
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http://hdl.handle.net/10495/7786 |
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2256-2958 |
| identifier_str_mv |
Restrepo LF, Gonzales J. De Pearson a Spearman. Rev. Colomb. Cienc. Pecu. 2007;20(2):183–191. 0120-0690 2256-2958 |
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http://hdl.handle.net/10495/7786 |
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spa |
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spa |
| dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Rev. Colomb. Cienc. Pecu. |
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Atribución-NoComercial-CompartirIgual 2.5 Colombia (CC BY-NC-SA 2.5 CO) |
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application/pdf |
| dc.publisher.spa.fl_str_mv |
Universidad de Antioquia, Facultad de Ciencias Agrarias |
| dc.publisher.group.spa.fl_str_mv |
Grupo de Investigación en Ciencias Agrarias -GRICA- |
| dc.publisher.place.spa.fl_str_mv |
Medellín, Colombia |
| institution |
Universidad de Antioquia |
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Restrepo Betancur, Luis FernandoGonzález López, Julián2017-07-27T13:51:08Z2017-07-27T13:51:08Z2007Restrepo LF, Gonzales J. De Pearson a Spearman. Rev. Colomb. Cienc. Pecu. 2007;20(2):183–191.0120-0690http://hdl.handle.net/10495/77862256-2958ABSTRACT: article is about the Pearson and Spearman correlation coefficients which are widely used in agricultural sciences in order to establish the relationships between generally quantitative variables. It also contains the fundamental assumptions in which the Pearson method is based: bivariated normality, variable interaction linearity, as well as the programming Schedule in SAS software; in addition, the way in which SAS exits must be interpreted which oscillate between -1 ≤ ρ ≤ 1.RESUMEN: Este artículo trata acerca de los coeficientes de correlación de Pearson y Spearman los cuales son ampliamente utilizados en las ciencias agropecuarias con el fin de establecer relaciones entre variables generalmente de índole cuantitativo. Además contiene los supuestos fundamentales en los que se basa el método de Pearson: normalidad bivariada, linealidad en la interacción de las variables y la forma de programación en el paquete estadístico SAS; adicionalmente, la manera de interpretar las salidas derivadas del paquete estadístico las cuales oscilan entre -1 ≤ ρ ≤ 1.COL0009556application/pdfspaUniversidad de Antioquia, Facultad de Ciencias AgrariasGrupo de Investigación en Ciencias Agrarias -GRICA-Medellín, Colombiainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_dcae04bchttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTREVArtículo de revisiónhttp://purl.org/coar/version/c_970fb48d4fbd8a85Atribución-NoComercial-CompartirIgual 2.5 Colombia (CC BY-NC-SA 2.5 CO)info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/Coeficiente de SpearmanCorrelación (Estadística)Correlaciónde de PearsonModelos estadísticosSupuestosDe Pearson a SpearmanFrom Pearson to SpearmanRev. Colomb. Cienc. 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