Need to calculate the sample size needed to detect the smallest effect size of interest before collecting data? 馃 The LMU Open Science Center offers a tutorial to help you improve study design and conduct power analyses through simulation.
The Tutorial of the Day: Simulations of data in R for Advanced Power Analyses 馃挭 https://lmu-osc.github.io/Simulations-for-Advanced-Power-Analyses/
With simulations for complex study designs , you can:
鉁旓笍Gain confidence in your study鈥檚 robustness
鉁旓笍Investigate how multiple predictors interact in models
鉁旓笍Visualize how design changes affect statistical power
鉁旓笍Calculate your needed sample size
Take your power analyses to the next level and start learning today! 馃殌
This tutorial has a CC BY license, so you can freely reuse and adapt it for your own courses or workshops by giving attribution.