I have seen this question asked previously on Research Gate. And the answer is no. However, I may be conflating terms such as "transformation", "normalization" with "linearity in the logit" for any continuous independent variable--one of the assumptions in logistic regression. As in here:
https://onlinelibrary.wiley.com/doi/10.1111/j.1553-2712.2011.01185.x.
Please advise. Thanks.
Hello Sara,
For a continuous IV, logistic regression requires no assumption about the shape of the distribution for scores on the variable.
However, the presumed relationship between scores on the IV and the log-odds of the target outcome (DV occurrence) is linear in form. Otherwise, the resultant LR coefficient (or its exponentiated value as an estimate of change in OR per unit change in IV) wouldn't make much sense.
Good luck with your work.
David, thanks. To reiterate, if that presumption is not borne out, then transformation of the IV would be warranted. Yes?
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