{"id":13969,"date":"2025-07-15T13:34:47","date_gmt":"2025-07-15T13:34:47","guid":{"rendered":"https:\/\/functiontranslator.com\/fisher\/"},"modified":"2021-02-26T08:48:08","modified_gmt":"2021-02-26T08:48:08","slug":"fisher","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/es\/fisher\/","title":{"rendered":"FISHER"},"content":{"rendered":"

Introducci\u00f3n a la Transformaci\u00f3n de Fisher<\/h2>\n

La Transformaci\u00f3n de Fisher es una t\u00e9cnica matem\u00e1tica empleada frecuentemente en estad\u00edstica. En Microsoft Excel y Google Sheets, esta funci\u00f3n es fundamental para transformar coeficientes de correlaci\u00f3n en valores z que se distribuyen normalmente. Esto resulta esencial para realizar pruebas de hip\u00f3tesis relacionadas con correlaciones.<\/p>\n

Sintaxis y Ejemplos<\/h2>\n

El formato general de esta funci\u00f3n en ambas plataformas es:<\/p>\n

=FISHER(x)<\/code><\/pre>\n
Donde x<\/code> es el coeficiente de correlaci\u00f3n y debe estar entre -1 y 1, pero no puede ser -1 ni 1 exactamente.<\/p>\n
Ejemplo en Microsoft Excel:<\/strong><\/p>\n
    \n
  • Si tienes un coeficiente de correlaci\u00f3n de 0.5, para aplicar la transformaci\u00f3n de Fisher, ingresar\u00edas en una celda:
    =FISHER(0.5)<\/code><\/li>\n<\/ul>\n
    Ejemplo en Google Sheets:<\/strong><\/p>\n
      \n
    • Para un coeficiente de correlaci\u00f3n de -0.4, la f\u00f3rmula ser\u00eda:
      =FISHER(-0.4)<\/code><\/li>\n<\/ul>\n
      Aplicaciones Pr\u00e1cticas<\/h2>\n
      Comparaci\u00f3n de Coeficientes de Correlaci\u00f3n<\/h2>\n
      Supongamos que hay dos estudios distintos que eval\u00faan la correlaci\u00f3n entre el tiempo de estudio y las calificaciones obtenidas, teniendo coeficientes de correlaci\u00f3n de 0.6 y 0.8, respectivamente. Una pregunta com\u00fan es si estas correlaciones difieren de manera estad\u00edsticamente significativa.<\/p>\n
      Procedimiento:<\/p>\n
        \n
      • Aplicar la Transformaci\u00f3n de Fisher a ambos coeficientes:\n
        z1 = FISHER(0.6)
        z2 = FISHER(0.8)<\/code><\/pre>\n<\/li>\n
      • Comparar los valores z transformados (z1 y z2) mediante pruebas estad\u00edsticas adecuadas.<\/li>\n<\/ul>\n
        Si los valores z transformados muestran diferencias significativas, se puede concluir que las correlaciones no son equivalentes.<\/p>\n
        An\u00e1lisis de Confiabilidad en Psicometr\u00eda<\/h2>\n
        En el campo de la psicometr\u00eda, es habitual analizar la confiabilidad de cuestionarios comparando las correlaciones de las respuestas obtenidas en distintos momentos. Supongamos que deseamos saber si estas correlaciones var\u00edan significativamente.<\/p>\n
        Procedimiento:<\/p>\n
          \n
        • Realizar la Transformaci\u00f3n de Fisher para cada coeficiente de correlaci\u00f3n.<\/li>\n
        • Utilizar t\u00e9cnicas estad\u00edsticas para comparar estos valores transformados.<\/li>\n
        • Bas\u00e1ndose en estos an\u00e1lisis, determinar la confiabilidad del cuestionario.<\/li>\n<\/ul>\n
          Con estos ejemplos y procedimientos, queda claro que la funci\u00f3n de Transformaci\u00f3n de Fisher en Excel y Google Sheets es una herramienta poderosa para el an\u00e1lisis estad\u00edstico, especialmente \u00fatil en estudios de correlaciones y su significado estad\u00edstico.<\/p>\n","protected":false},"excerpt":{"rendered":"
          Devuelve la transformaci\u00f3n Fisher<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[540],"tags":[],"class_list":["post-13969","post","type-post","status-publish","format-standard","hentry","category-estadistica"],"acf":[],"yoast_head":"\nFunci\u00f3n FISHER en Excel \u2013 c\u00f3mo funciona, ejemplos y sintaxis<\/title>\n<meta name=\"description\" content=\"Explicaci\u00f3n breve de la funci\u00f3n FISHER de Excel. 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