Statistical power is a measure of the ability of a study or a hypothesis testing setup to detect a particular effect if it is truly present.
Stated another way, statistical power is is the probability that we will correctly reject a null hypothesis (i.e., the probability of getting a p-value lower than our alpha).
PAMLj: Power Analysis Module for jamovi (released in October 2024)
A new power analysis module for jamovi, designed to simplify and enhance research planning, which supports a broad range of statistical tests, making it a useful tool for researchers across various fields (https://pamlj.github.io/index.html).
PAMLj: Power (Marcello Gallucci)
Alexander Swan: pamlj Module Overview (8:17)
Alexander Swan: pamlj Module || Correlation Power Analysis (15:40)
Alexander Swan: pamlj Module || General Linear Model (GLM) Power Analysis (Episode 75)
Alexander Swan: pamlj Module || Factorial ANOVA Power Analysis (15:24)