I have had the chance to teach a series of classes on applied statistics over my doctoral and post-doctoral career. Most have been done in the context of the ECPR Winter or Summer School in Methods and Techniques, where in 2018 I received the Cora Maas Award for best evaluated course at the Winter School.

You can find a list of topics below. For each topic, you will find a set of classes for which materials (slides, code files, data sets, and tutorials) are freely available from their respective GitHub repositories.

I hope you find the information useful!

  1. Multilevel models
  2. Causal inference
  3. Data visualization with R
  4. Linear models
  5. Structural equation modeling