Hi there,

I'm hoping to find clear instructions on how to extract regression beta coefficients from my model, if possible. I'll explain my process:

I ran an interaction analysis as follows:

Seed-to-voxel
Between-subjects contrast:
AllSubjects; group1; age; sex; handedness; BDI (quantitative scale); group1*BDI
0; 0; 0; 0; 0; 0; 1

Conditions
time 1; time 2
-1 1
Seed
DMN.LP(R)

This should be a multiple regression with an interaction factor, whereby I'm looking for interactions between group and BDI when predicting changes in connectivity from time 1 to time 2. I found a significant interaction. I extracted the mask of the significant cluster as a step towards computing simple main effects. For simple main effects, I rerun the within-group analyses to find their regression slopes as such:


Seed-to-voxel
Between-subjects contrast:
group1; age; sex; handedness; BDI (quantitative scale)
0; 0; 0; 0; 1

Conditions
time 1; time 2
-1 1
Seed
DMN.LP(R)

This should be a multiple regression, whereby I'm looking for the effects of BDI when predicting changes in connectivity from time 1 to time 2 within group 1. In other words, one of the group slopes from the previous interaction. No significant clusters were found. I then apply the exported mask from the interaction to determine the simple main effects. Now when I go to the results explorer, I only find the t values of effects at time 1 vs. time 2. This comparison of means seems to fall in line with an ANCOVA - so was this not a regression? Anyway, I'm still left with my main question of this post:

Where/how can I find the beta coefficient for this analysis (with exported mask) to explain the magnitude of the slope for my regression?

Thanks!