Classical Process Model: Hayes configuration
|
|
Hayes numberᵃ |
AIC |
BIC |
Log-likelihood |
n |
df |
Model 1 |
|
1 |
|
14509.854 |
|
14550.767 |
|
-7244.927 |
|
442 |
|
0 |
|
|
ᵃ Model configuration number defined by Hayes (2022). |
Path plots
Model 1
Conceptual path plot

Statistical path plot

Parameter estimates
Important
: Parameter estimates can only be interpreted as causal effects if all confounding effects are accounted for and if the causal effect directions are correctly specified.
Model 1
|
|
95% Confidence Interval |
|
|
|
Estimate |
Std. Error |
z-value |
p |
Lower |
Upper |
Video games |
|
→ |
|
Aggression |
|
0.170 |
|
0.068 |
|
2.489 |
|
0.013 |
|
0.036 |
|
0.303 |
|
Callous traits |
|
→ |
|
Aggression |
|
0.760 |
|
0.049 |
|
15.438 |
|
< .001 |
|
0.664 |
|
0.857 |
|
Video games:Callous traits |
|
→ |
|
Aggression |
|
0.027 |
|
0.007 |
|
3.894 |
|
< .001 |
|
0.013 |
|
0.041 |
|
|
Note.
Moderation effect estimates are based on mean-centered variables. |
|
|
95% Confidence Interval |
|
|
|
Callous traits |
Estimate |
Std. Error |
z-value |
p |
Lower |
Upper |
Video games |
|
→ |
|
Aggression |
|
16 |
|
-0.102 |
|
0.101 |
|
-1.012 |
|
0.312 |
|
-0.299 |
|
0.096 |
|
Video games |
|
→ |
|
Aggression |
|
50 |
|
0.154 |
|
0.069 |
|
2.239 |
|
0.025 |
|
0.019 |
|
0.288 |
|
Video games |
|
→ |
|
Aggression |
|
84 |
|
0.478 |
|
0.101 |
|
4.737 |
|
< .001 |
|
0.280 |
|
0.676 |
|
|
Note.
Moderation effect estimates are based on mean-centered variables. |
|
|
95% Confidence Interval |
|
|
|
|
Callous traits |
Estimate |
Std. Error |
z-value |
p |
Lower |
Upper |
Total |
|
Video games |
|
→ |
|
Aggression |
|
16 |
|
-0.102 |
|
0.101 |
|
-1.012 |
|
0.312 |
|
-0.299 |
|
0.096 |
|
|
|
Video games |
|
→ |
|
Aggression |
|
50 |
|
0.154 |
|
0.069 |
|
2.239 |
|
0.025 |
|
0.019 |
|
0.288 |
|
|
|
Video games |
|
→ |
|
Aggression |
|
84 |
|
0.478 |
|
0.101 |
|
4.737 |
|
< .001 |
|
0.280 |
|
0.676 |
|
|
Note.
Moderation effect estimates are based on mean-centered variables. |