I have data where my dependent variable is a binary choice (Option A or Option B). I have two predictors: time pressure (pressure or no pressure) and alpha score (continuous).
I am examining whether pressure and alpha score interact to affect choice.
When I code time pressure with a dummy variable where pressure = 1 and no pressure = 0, alpha score is a highly significant predictor:
However, when I change how I arbitrarily coded this dummy variable and instead set it so pressure = 0 and no pressure = 1, this changes the significance of alpha score (not to mention some of my coefficients):
And yet, the interaction and the dummy variable are not changing (only changing in sign).
What is causing these changes?
And, in light of this, what is the most appropriate way to write up/interpret these results?
Thank you so much for any help you can offer!
If it's important, the distribution of alpha score is not different across conditions, and I have 409 participants in the time pressure condition and 407 participants in the no time pressure condition.