I would recommend not performing stepwise model building, unless you are looking for biased (inflated) coefficients, biased (deflated) p-values, and inflated model fit statistics.
The fundamental problem is that all of the inferences in one's final model carry a typically invisible/silent and usually uninterpretable series of "conditional upon all these other choices based on other variables in some order" statements.
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