I have two non-normal variables (one DV, one IV) and a few 7-point Likert scale IVs (normally distributed). The non-normal variables are centrality scores from network analysis - DV is from the collaboration matrix; IV is from the friendship matrix. Transforming the data did not work out - unfortunately.
Here is what I would like to test: DV: centrality score - collaboration IV: centrality score - friendship annual budget number of employees years of operation
I think I have to go with a non-parametric test. The problem - at least for me - is that the 2 non-normal variables are continuous and have different ranges.
I thought about assigning a rank instead of the centrality scores, but I am not sure which test to use.
I have the feeling I am overlooking something quite simple.