I was wondering how I can see in my results if the moderator just weaken a positive relationship between A and B or if the moderator is responsible for that the positive relationship between a and b becomes negative.
Monika Schmitz Moderating effects have the potential to modify the sign of a connection. It affects both the strength and the direction of the connection. It can crystallize the influence of the inserted variable and also indicate if it causes the DV to fall or grow.
A moderating variable, often known as a moderator variable or simply M, modifies the magnitude or direction of an impact between two variables, x and y. In other words, it influences the connection between an independent variable, also known as a predictor variable, and a dependent variable, also known as a criterion variable.
A moderator variable, abbreviated M, is a third variable that influences the strength of the association between a dependent and independent variable. A moderator is a third variable in correlation.
Thank you so much Fatemeh Khozaei
So if the effect at (M - 1 SD) values of the moderator suddenly gets a negative coefficient sign (b = - 0.154, p = 0.007). Whereas with medium values (M) and high values (M + 1 SD) of the moderator, the sign was positive, e.g. (b = 0.318, p < 0.001).
Does this mean that for negative values of the moderator the effect from AV to DV becomes negative? Or how can I interpret it correctly?
Monika Schmitz I recommend plotting the regression lines separately for each level of the moderator. This will give you a much more intuitive sense of how the moderator affects the relationship between the IV and DV.
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