How are p values misinterpreted in logistic regression and how should we interpret them? I am currently going through the book Practical Guide to Logistic Regression by Joseph Hilbe and there is this part I came across:

For whatever reason, it gives this warning, but sorta trails off and doesn't explain why this is the case. As far as it is my understanding, the p values are calculated in a similar fashion as those in linear regression, so I was curious as to why this warning was given.

I do not see anything here unique to logistic regression. Plenty of people misinterpret p-values, whether for linear regression coefficients, logistic regression coefficient, coefficients for other generalized linear models, or from other tests. It’s basically all the same combination of misinterpreting the p-value to be the effect size and the posterior probability of the null hypothesis.
(Note that the p-value neither (exclusively) measures effect size nor is the (posterior) probability of the null hypothesis being true.)
