Table 3. Summary of Hierarchical Regression Analysis for Variables Predicting Proactive Aggression.

Variable	B	(SE)B	t-value
Model 1:
Step 1
Reactive Aggression	−1.15	.50	−2.27*
Reactive Aggression2	.71	.21	3.33**
Full Scale IQ	.00	.00	−.19
Step 2
Hostile Encoding	−.19	.18	−1.03
Hostile Att. Bias	−.25	.16	−1.51
Planning Ability	−.03	.05	−.58
Step 3 (Individually)
Hostile Encoding × Planning Ability	.03	.28	.10
Hostile Att. Bias × Planning Ability	−.56	.25	−2.29*
Model 2:
Step 1
Reactive Aggression	−1.15	.50	−2.27*
Reactive Aggression2	.71	.21	3.33**
Full Scale IQ	.00	.00	−.19
Step 2
Hostile Att. Bias	−.24	.16	−1.46
Response Inhibition	−.04	.04	−.93
Step 3 (Individually)
Hostile Encoding × Response Inhibition	−.19	.33	−.59
Hostile Att. Bias × Response Inhibition	−.23	.27	−.85
Model 3:
Step 1
Reactive Aggression	−1.15	.52	−2.22*
Reactive Aggression2	.71	.22	3.27**
Full Scale IQ	−.00	.00	−.28
Step 2
Hostile Encoding	−.21	.17	−1.23
Hostile Att. Bias	−.26	.17	−1.56
Set Switching	.05	.05	.95
Step 3 (Individually)
Hostile Encoding × Set Switching	.53	.33	1.60
Hostile Att. Bias × Set Switching	.03	.36	.08

Note.

⁺p < .10,

^*p < .05,

^**p < .01.

Reactive Aggression² = the quadratic term for reactive aggression. Although interaction analyses are simultaneously depicted in step 3 of each model, each interaction analysis was conducted individually at step 3.