- Thread starter WeeG
- Start date

Others may be able to comment more on this, but some suggestions for solving it (each with their own issues); is remove one of the colinear measures (obviously not ideal!), just leave it in and comment on it in your report as an issue, or you could factor analyse the collinear measures to get a factor score for them and use the factor score.

Hope this helps

I ran correlation check between my variables, some of them ARE correlated, for example I got a pair with r=0.6, and some pairs with r=0.45 or near that.

Then I ran a linear model just to calculate the VIF, and I was surprised to find out that the highest VIF was 2.38...not 5, not even 3 !!

what would you do ?

Will it be OK to have a final model containing 1 or 2 IV's out of the 8 ? (otherwise there will be no relations at all).