Análisis de poder estadístico y cálculo de tamaño de muestra en R: Guía práctica
Creators: name: Leongómez, Juan David
Publisher: name: Zenodo
Year: 2020
Subjects: Poder estadístico
Potencia estadística
ANOVA
Correlación
Prueba t
Diseños mixtos
Diseño factorial
Tamaño de efecto
Tamaño de muestra
Error tipo I
Error tipo II
R
jamovi
pwr
Superpower

description: Esta guía práctica acompaña la serie de videos <strong>Poder estadístico y tamaño de muestra en R</strong>, 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).
description: Fuentes y citas: Con la intención de sustentar claramente, pero de forma sencilla, la información presentada, incluyo varias citas a lo largo del documento que, creo, podrían servir a estudiantes, docentes e investigadores para explorar un tema particular con mayor profundidad, o soportar una decisión en un proyecto de investigación. Las referencias completas de todas las citas (incluyendo hipervínculos a las fuentes), están al final del documento.
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