Published September 8, 2020 | Version 4
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Análisis de poder estadístico y cálculo de tamaño de muestra en R: Guía práctica

Creators

  • 1. Universidad El Bosque

Description

Esta guía práctica acompaña la serie de videos Poder estadístico y tamaño de muestra en R, de mi canal de YouTube Investigación Abierta, que recomiendo ver antes de leer este documento. Contiene una explicación general del análisis de poder estadístico y cálculo de tamaño de muestra, centrándose en el procedimiento para realizar análisis de poder y tamaños de muestra en jamovi y particularmente en R, usando los paquetes pwr (para diseños sencillos) y Superpower (para diseños factoriales más complejos). La sección dedicada a pwr está ampliamente basada en este video de Daniel S. Quintana (2019).

Notes

Errata: esta versión 4 corrige un error importante. En las versiones anteriores de esta guía, en la sección 3 —dedicada al módulo jpower de jamovi— se había interpretado el tamaño de efecto solicitado por jamovi (δ) como delta de Cliff. Sin embargo, se refiere sencillamente al efecto en la población (no en la muestra), y es equivalente a la d de Cohen (o g de hedges). El documento se ha corregido y actualizado para reflejar esto.

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Other: 10.17605/OSF.IO/3QX6A (DOI)

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