- Select the Regression output.
- Go to the object inspector > Inputs > DIAGNOSTICS and click Multicollinearity Table (VIF)
The resuls are as follows:
You will then have a multicollinearity table for each binary grouping to help identify variables to potentially remove from your ordered logit analysis. The closer to 1 the value is the less multicollinearity there is.
How to Do an Ordered Logit in Q
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