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Which is the best way to check for multicollinearity between two binary explanatory variables in logistic regression..? I use SPSS, if anyone could answer with special regards to that programme it would be extra helpful!

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  • $\begingroup$ Note that the candidate for duplicate had a misleading title, as "dependent" really meant "independent". (Further ammunition for a personal campaign that these terms are past their sell-by date.) $\endgroup$
    – Nick Cox
    May 10, 2017 at 17:20

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Can you use R? You can quickly explore data by using CORRPLOT

Also running a PCA would be helpful to see how much redundancy/multicollinearity are in your features.

Finally, you can try to fit with a linear model and check if the data matrix is full rank / invertable.

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