Ever wondered if your study design will hold up before collecting real data? π This tutorial by the LMU Open Science Center on data simulation will help you test, refine, and strengthen your statistical plan by creating artificial datasets.
The Tutorial of the Day: Introduction to Data Simulation in R π https://lmu-osc.github.io/Introduction-Simulations-in-R/
Data simulation is the process of generating artificial data to better understand how real-world data behaves and to explore the statistical models we use to analyze it. With data simulation, you can:
βοΈ Test how your statistical tests behave in different scenarios
βοΈ Explore what sample size is needed to detect a simulated effect (a.k.a. run a power analysis)
βοΈ Write the code for the confirmatory analyses of your study to later get your first results in minutes
βοΈ Create a dataset you can share along your code for unbiased code-review
Build confidence in your research design through simulation with this tutorial! π»
This tutorial has a CC BY license, so you can freely reuse and adapt it for your own courses or workshops by giving attribution.