I have conducted a moderation analysis with two independent moderators. (Using Hayes Process model 2). I have attached the output for your reference.
I am looking for the impact that financial wellbeing and gender has the relationship between marital status and loneliness.
My variables are:
Y: Loneliness (continuous variable - low values indicating low loneliness)
X: Marital status (single or married- dummy coded to have single as the reference category)
W (mod1): Financial wellbeing (continuous- low values indicating low financial wellbeing)
Z (mod2): Gender (male or female- dummy coded to have male as the reference category)
As you will see, all the p-values show significance
I have to questions:
1. Is this selection of variables appropriate for the moderation analysis I am undertaking?
2. Can someone please help me interpret this output? When interpreting the conditional effect I am seeing all the values under 'effect' are negative but I am not sure how to interpret this in relation to the predictor (being single coded as 0).
Any guidance would be greatly appreciated!