I've spent a fair amount of time looking for clues to interpret the output that my hierarchical regressions analysis shows.
I have a simple model with one independent variabele and a moderator. I've got two hypothesis, one which states that there is a positive relation between independent and dependent variable and the second one that the moderator has a positive influence on that relation.
I computed the mean of the independent & independent variable plus the moderator (compute mean a1,a2 etc) and i have saved those new variables as zscores.
In block 1 I've added the independent variable and the moderator. In block 2 I've added the interaction (ZscoreX * ZscoreY).
Model Summar gives me:
Model 1 p value of 0.042
Model 1 p value of 0.067
The ANOVA shows me:
Model 1 p value of 0.0.42
Model 2 p value of 0.021
coefficient table shows:
independent variable with a p value of 0.033
moderator with a p value of 0.223
No significance for independent and moderator (0.052 independent, 0.122 moderator) also interaction is 0.067
I have no clue how to interpret these results. I have also made a visualization to help me with the interpretation. From seeing the diagram it looks like the moderator has a significant (negative) impace on the relation.
Hopefully somebody here can help me out...