Any help would be much appreciated 
For my research project I'm hoping to do a moderation analysis and will be looking at if Variable M moderates the relationship between Variable X and Variable Y. All variables are continuous (scale) and were measured at only 1 time point.
My 3 hypotheses are:
1. Variable X predicts Variable Y
2. Both Variable X and Variable M predict Variable Y
3. Variable X and M interact to predict Variable Y (moderation)
I'm planning to use Hayes' PROCESS Macro to run the moderation analysis on SPSS but just wanted to know if there's anything I needed to do beforehand i.e run a multiple regression to check assumptions? Spent a good deal of time looking through Andy Field's book but am still a bit confused!
For my research project I'm hoping to do a moderation analysis and will be looking at if Variable M moderates the relationship between Variable X and Variable Y. All variables are continuous (scale) and were measured at only 1 time point.
My 3 hypotheses are:
1. Variable X predicts Variable Y
2. Both Variable X and Variable M predict Variable Y
3. Variable X and M interact to predict Variable Y (moderation)
I'm planning to use Hayes' PROCESS Macro to run the moderation analysis on SPSS but just wanted to know if there's anything I needed to do beforehand i.e run a multiple regression to check assumptions? Spent a good deal of time looking through Andy Field's book but am still a bit confused!