Need to calculate the sample size needed to detect the smallest effect size of interest before collecting data? 🧠 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 💪 https://lmu-osc.github.io/Simulations-for-Advanced-Power-Analyses/
With simulations for complex study designs , you can:
✔️Gain confidence in your study’s robustness
✔️Investigate how multiple predictors interact in models
✔️Visualize how design changes affect statistical power
✔️Calculate your needed sample size
Take your power analyses to the next level and start learning today! 🚀
This tutorial has a CC BY license, so you can freely reuse and adapt it for your own courses or workshops by giving attribution.