Understanding high VIF


I am having a problem with a variable showing consistently high VIF scores.

I am conducting regression looking at predictors of dyslexia. I have one variable (parents highest education level) which always shows high VIF scores even when entered alone into the model. From my knowledge of VIF I cannot understand why 1 variable alone would show high VIFs. The variable is has 5 categories with the number of dyslexics in each cell ranging from 7 to 124. Would anyone be able to shed light on why this variable is causing me these issues and any potential solutions?

Thanks in advance.


Less is more. Stay pure. Stay poor.
Are you looking at the VIF for the IV and the DV? Can you post some of your output? Your desired model is going to end up being a logistic model - just curious?


Less is more. Stay pure. Stay poor.
So you are writing about the CS variable? It is a categorical variable that gets dummy coded? Where is the simple regression output where it is high. Close to "10" is typically considered high.