To analyze your data, you need to become familiar with one (or multiple) statistical methods.
Below, I am collecting a few links for commonly used methods in thesis projects (without claiming this list is complete - consider it work in progress).
Next to the general references above, these are some useful tutorials for specific methods.
- Goldfarb, A., Tucker, C., & Wang, Y. (2022). Conducting Research in Marketing with Quasi-Experiments. Journal of Marketing. https://doi.org/10.1177./00222429221082977
- Li, Kathleen T., & Christophe Van den Bulte (2022). Augmented Difference-in-Differences. Marketing Science. https://doi.org/10.1287/mksc.2022.1406.
Tutorials for difference-in-difference regressions
Tutorials for propensity score matching