This absolutely baffles my mind, so I hope you can help me out. I'm doing statistical analyses in SPSS with logistic regression models. I do crude analyses with a single dependent ("A") and a single independent ("B"). Moreover, I do adjusted analyses with a number of additional variables ("X"). I decided to put B in block 1, and then put all my X variables in block 2. This way, from what I know, the output will show both a crude model, and a model adjusted for all the X variables.
Now, here is the catch. When I create a model with JUST A and B, so no extra variables in block 2, the Exp(B) and 95%-CIs I find are DIFFERENT than what I find when I look at block 1 in a model with more variables in block 2. Why is this? As far as I am concerned, this should not be the case.
Thanks, Tim
Now, here is the catch. When I create a model with JUST A and B, so no extra variables in block 2, the Exp(B) and 95%-CIs I find are DIFFERENT than what I find when I look at block 1 in a model with more variables in block 2. Why is this? As far as I am concerned, this should not be the case.
Thanks, Tim