I want to test if there is multi collinearity in my dataset. This is made up of multiple ordinal independent variables. Am I correct that this should be done as shown below
Model <- lm(BinaryVar~ OrdV1+OrdV2+OrdV3+OrdV4) Library(car) Vif(Model)
This yields GVIF values and GVIF^1/(2*Df) which I believe are equivalent to VIF.
Is this the correct way to treat ordinal variables and calculate multicollinearity?
I have read that you should turn ordinal variables into dummy variables to do this here Testing multi-collinearity of ordinal independent variables in R
I have found nothing else to confirm this. Is my method of calculating VIF correct?