I'm assessing effects of age, gender and speech style on the realization of linguistic forms. All the dependent and independent variables are binary categorical. My dataset:
When I run logistic regression, I get the output with highly significant effects of 2 variables:
If I add 3-way interactions to the model, all p values jump to around 1:
I'm stumped by this transformation and I wonder what could affect the output so much. Can the model with 3-way interactions be unreliable? I read that a big dataset might be needed to assess interactions, otherwise, things can get messy. The sample of speakers I'm working with is 16. The number of data observations is 1164.