Change removal p value of stepwise logistic regression in JASP?
When I used stepwise logistic regression in JASP, I noticed that the last fitted model (i.e., I have 8 models, the 8th model) is not always the best model: the p value of the whole model is higher than 0.05, and the p values of several predictors are higher than 0.05. This makes me a bit confused: Because in stepwise linear regression, the last one is always the best one, both the p value of the whole model and the p value of each predictor is lower than 0.05. Also, I don't see the option of "Method Specification" as in linear regression to give the chance to change the removal p value. So, my question are:
- Is it possible to provide the option of " Method Specification" for stepwise logistic regression, as in stepwise linear regression, so that we can constrain the p value level of each predictor to be lower than 0.05, making the features selection be automatic?
- Is the module of logistic regression in JASP not fully automatic now? Do we have to check the p value of each model, each predictor manually, to remove the "insignificant p value based" predictors, and gradually decide which model we should choose?
Thank you very much,