# Interpreting findings of moderation using PROCESS Macro

I have recently conducted a moderation analysis using the PROCESS Macro plug-in for SPSS. I have tested the moderation effect of W (categorical using dummy variables) on the relationship between X (scale) and Y (scale).

I am trying to interpret the results, and I am looking for clarification (I have pasted the results at the bottom of this post).

For this model, the R-square change of the interaction is not significant - p = .055. However, for W categories 3 and 4, the p value of the conditional effects is significant, at .0002 and .0009 respectively.

I have interpreted this as the interaction between W and X only being significant in predicting Y for those in categories 3 and 4.

Is this correct, or have I interpreted this incorrectly?

Test(s) of highest order unconditional interaction(s):

X*W R2-chng F df1 df2 p

   .0446 2.3599 4.0000 163.0000 .0556


Focal predict: X Mod var: W

Conditional effects of the focal predictor at values of the moderator(s):

W Effect se t p LLCI ULCI

1.0000 .0865 .1300 .6656 .5066 -.1701 .3432

2.0000 .0807 .1319 .6119 .5415 -.1798 .3412

3.0000 .4775 .1303 3.6638 .0003 .2201 .7348

4.0000 .5028 .1484 3.3879 .0009 .2098 .7959

5.0000 .2005 .1165 1.7206 .0872 -.0296 .4306