Hello Ksenia.  Your question has been unanswered for a while now.  I think it would help if you posted your command syntax, and perhaps some output.  (If you export all visible output to Excel, everyone should be able to view it, even if they don't have SPSS.) 

HTH.

Thank you, Bruce, did it

Hi Ksenia.  You show syntax for PROCESS.  What I infer from the output in the Excel file is that you also have a REGRESSION command with two /ENTER sub-commands:  You enter variables pp and fear on the first step, and then add the interaction between them on the second step.  Notice that the coefficient & SE for the interaction term from Step 2 in your REGRESSION output are identical to the coefficient and SE in the PROCESS output:

Results for the interaction term:

coeff     se        t           p

-,1998 ,0978 -2,0418 ,0425

thank you, Bruce. I centered the moderator for SPSS, but i am not sure, whether PROCESS centers it automatically. where i can look it up?

yes, my concern is not the moderator, but X and M. And, when i use not the syntax, but the command from Analyse=>Regression=>Process, i receive the same result as in SPSS, but it's actually Model 4 with a covariate

Model = 4

Y = anx

X = fear

M = pp

Statistical Controls:

CONTROL= CfearCpp

Sample size

200

**************************************************************************

Outcome: pp

Model Summary

R R-sq MSE F df1 df2 p

,3610 ,1303 ,3620 14,7569 2,0000 197,0000 ,0000

Model

coeff se t p LLCI ULCI

constant 3,3177 ,1417 23,4073 ,0000 3,0382 3,5972

fear ,1247 ,0333 3,7475 ,0002 ,0591 ,1903

CfearCpp -,1921 ,0492 -3,9076 ,0001 -,2890 -,0951

**************************************************************************

Outcome: anx

Model Summary

R R-sq MSE F df1 df2 p

,3787 ,1434 1,3309 10,9390 3,0000 196,0000 ,0000

Model

coeff se t p LLCI ULCI

constant 4,4781 ,5285 8,4740 ,0000 3,4359 5,5203

pp -,6674 ,1366 -4,8856 ,0000 -,9368 -,3980

fear ,2674 ,0660 4,0506 ,0001 ,1372 ,3976

CfearCpp -,1998 ,0978 -2,0418 ,0425 -,3927 -,0068

******************** DIRECT AND INDIRECT EFFECTS *************************

Direct effect of X on Y

Effect SE t p LLCI ULCI

,2674 ,0660 4,0506 ,0001 ,1372 ,3976

Indirect effect of X on Y

Effect Boot SE BootLLCI BootULCI

pp -,0832 ,0279 -,1484 -,0376

Bruce, thank you, i talked to my friend and we did the operation through the menu, choosing option center products in PROCESS, and the result became identical to SPSS