Hello Sir, I had a question regarding dirty and clean moderation. In my analysis, I have x,y, and z variables. In model 1, x--->y, I get x as significant. In model 2, x+z ---> y (z is the control and not the moderator), I still get only x as significant, not z. Now, in model 3, x*z--->y, I get x, x*z, and z as significant. Is this a case of dirty moderation? I am confused between model 2 and model 3. 'z' has no impact on its own on y but only with the moderator model; it is independently significant as well x*z is significant. PLEASE CLARIFY.
Thank you so much. This was very helpful and reassuring.
Thank you. It's very clear and helpful.
This is so helpful!
thank you so much for this great video.
Thank a lot 😊
Hello Sir, I had a question regarding dirty and clean moderation. In my analysis, I have x,y, and z variables. In model 1, x--->y, I get x as significant. In model 2, x+z ---> y (z is the control and not the moderator), I still get only x as significant, not z. Now, in model 3, x*z--->y, I get x, x*z, and z as significant. Is this a case of dirty moderation? I am confused between model 2 and model 3. 'z' has no impact on its own on y but only with the moderator model; it is independently significant as well x*z is significant. PLEASE CLARIFY.
Pls when using process macro for moderation analysis, will u be wrong if u input mean centered variables?