Got stuck with determining the appropriate statistical analysis of our study
Hello! I am a psychology college student currently writing their undergraduate thesis.
So basically, the study deals with Predictor A & Predictor B's impact on Mental Health. It is established that it is a predictive study, so it shall use a type regression analysis.
However we're stuck with what specific one as our adviser said it is not just multiple regression.
Here are the research questions we have
Are Predictor A, Predictor B, and mental health significantly related with one another? (This one is just correlation so thats settled)
Does Predictor A significantly predict mental health participants?
Does Predictor B significantly predict mental health of the participants?
Does Predictor A & B jointly predict mental health of the participants?
This is where we have trouble with.
It has also been established through literature that Predictor A and B are strongly related, where predictor A leads to predictor B. Then, predictor B reinforces predictor A (a cyclic relationship).
Thus we are kinda lost at the moment on what type of regression is appropriate.
A photo of the conceptual framework is given.
Currently we're thinking of either continue with multiple regression or do hierarchical regression.