The training will focus on the usage of ETER to identify institutions with similar profile as the focal one, and on which data and indicators can be used for comparing them. It will be therefore of interest for institutional managers and data analysts.
- An overview on the ETER data structure. Users should get familiar with the ETER data structure in order to be able to choose the right data.
- Finding peer institutions in ETER. Users will be explained how to identify similar HEIs in ETER depending on the dimension of interest, and provided with examples of how this works.
- Comparing HEIs. Users will be introduced to the main dimensions of differentiation of HEIs and to the methods and pitfalls of comparing HEIs with different characteristics. They will also introduced to the ETER classification indicators.
While most exercises can be done in MS Excel, knowledge of a statistical software such as Stata will be an advantage.