My question is about logistic regression.
Why the same variable would be a significant predictor and sometimes not?
For example, I have an outcome (obtained mammogram at least once ) when I added spousal support variable along with other variables , which are annual income, residency for men and women, and age, spousal is significant predictor? please, see the attachment picture one.
However, when I added spousal support along with other or same variables, spousal support become insignificant predictor. Please, see the attachment, picture two
May you help me to understand this concept, and if there is any articles or videos for further reading.
Thank you so much
Sir, did you run post hoc analysis. Sometimes, the aggregate variable category impacts dependent aggregate variable category but we really didn't know whether within category which component has significant impact and which has none. So post hoc analysis may help you out with this I guess.
You used diff predictors in both models. I would not expect the results to be the same, right?
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