If you participate in one of my courses you will be confronted by quantitative methods one way or another. My courses always contain some lectures on methods as well as lab sessions. However, time is scarce and usually there is not enough time to refresh and discuss in detail the simple steps of data analysis. Below I collected some info pages I use(d) as well.
There are excellent tutorials online which address how to load data in R, how to generate variables, how to create figures etc. Some of the sources I list below:
Thanks to Marco Steenbergen the IPZ also offers a “R helpdesk“. I encourage students to get in touch with the R helpdesk in case they face all kinds of R problems.
Students constantly run into troubles finding data sources. Usually google is your best friend. If you still struggle to find reliable information on a specific topic the following list might be of some help: data sources (Comparative Politics).
When You Crunch Those Numbers…
- p-values (don’t be overly existed if p<0.05):
- How to correctly interpret interaction terms:
- Care about the design of your graphs:
- What is causality/a causal effect?
- Be careful with causal claims:
- Improve your regressions by caring about residuals
- Some thoughts on modelling your data: