Table 9

Mediation analysis

Process procedure for SPSS version 3.4
Written by Andrew F. Hayes, Ph.D. www.afhayes.com 
Documentation available in Hayes (2013). www.guilford.com/p/hayes3
Model: 4      
Y: SS      
X: SAI      
M: SPB     
Sample size: 600

 

 

 

 

 
OUTCOME variable: SPB    
Model summary     
R
R-sq
MSE
F
df1
df2
p
0.47720.227715.1704176.30811.0000598.0000.000
Model      

 
Coeff
se
t
p
LLCI
ULCI
Constant4.39110.82795.30370.0002.76516.0172
SAI
0.897
0.0676
13.2781
0.000
0.7643
1.0296
OUTCOME variable: SS    
Model summary     
R
R-sq
MSE
F
df1
df2
p
76030.57816.192408.996425970.000
Model      
CoeffsetpLLCIULCI
Constant4.69250.54128.66980.0003.62965.7555
SAI1.07010.049121.7900.0000.97361.1665
SPB
0.1537
0.0261
5.8825
0.000
0.1024
0.2050
Direct and indirect effects of X on Y
Direct effect of X on Y    

 
Effect
se
t
p
LLCI
ULCI

 
1.0701
0.0491
21.790
0.000
0.9736
1.1665
Indirect effect(s) of X on Y    

 

 
Effect
BootSE
BootLLCI
BootULCI

 
 SPB0.13780.0930.06070.3604 

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