We have developed a series of exercises to become familiar with the software jamovi.
Note: Since we continuously improve the tutorials, let us know if you discover mistakes, or if you have additional resources we can refer to. The source code is available via Github. If you want to be the first to be informed about updates, follow Rens on Twitter.
This tutorial introduces the elementals of jamovi for beginners. Starting from jamovi installation, we explain the screen structure of jamovi, how to load a dataset, and how to explore and visualize data. Readers will further learn ways to perform such statistical analyses as correlation analysis, multiple linear regression, t-test, and one-way analysis of variance, all from a frequentist viewpoint.
2. Bayesian Analyses with Default Priors
Expected in 2 weeks...
3. Advanced Bayesian regression
Expected in 3 weeks...