I have 4 models in the hierarchical regression output. The models are as follows: Model 1: Control variable Model 2: Control variable and 11 independent variables. Model 3: Control variable, 11 independent variables and moderator. Model 4: Control variable, 11 independent variables, moderator and interaction terms.
My question is this:
Which of the 4 models do I consider for final output interpretation? Whether there is a significant relation between different predictors and the outcome variable changes from model to model, in that the relationships that are significant in Model 1 become insignificant in subsequent models.