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)
All the p-values show significance
I have two questions:
- Is this selection of variables appropriate for the moderation analysis I am undertaking? Is the combination of a dichotomous predictor and moderator suitable for this?
- Can someone please help me interpret the output? When looking at the conditional effect, I am seeing all the values under 'effect' are negative- some closer to 0 than others but I am not sure how to interpret this in relation to the dichotomous predictor (being single coded as 0).
Any guidance would be greatly appreciated!