Table 2. Summary of Hierarchical Regression Analysis for Variables Predicting Reactive Aggression.

Variable	B	(SE)B	t-value
Model 1:
Step 1
Proactive Aggression	3.18	.81	3.93**
Proactive Aggression2	−1.03	.36	−2.84**
Full Scale IQ	−.00	.00	−1.14
Step 2
Hostile Encoding	.23	.24	1.74
Hostile Att. Bias	.39	.21	1.81+
Planning Ability	.10	.06	1.60
Step 3 (Individually)
Hostile Encoding × Planning Ability	.36	.38	.95
Hostile Att. Bias × Planning Ability	.69	.32	2.18*
Model 2:
Step 1
Proactive Aggression	3.18	.81	3.93**
Proactive Aggression2	−1.03	.36	−2.84**
Full Scale IQ	−.00	.00	−1.14
Step 2
Hostile Encoding	.27	.21	1.27
Hostile Att. Bias	.36	.20	1.79+
Response Inhibition	.15	.05	2.93**
Step 3 (Individually)
Hostile Encoding × Response Inhibition	.80	.40	1.99*
Hostile Att. Bias × Response Inhibition	.17	.34	.48
Model 3:
Step 1
Proactive Aggression	3.03	.81	3.74**
Proactive Aggression2	−.97	.36	−2.68**
Full Scale IQ	−.00	.00	−1.39
Step 2
Hostile Encoding	.38	.22	1.72+
Hostile Att. Bias	.34	.21	1.60
Set Switching	−.00	.07	−.04
Step 3 (Individually)
Hostile Encoding × Set Switching	−.10	.44	−.22
Hostile Att. Bias × Set Switching	.55	.49	1.12

Note.

⁺p < .10,

^*p < .05,

^**p < .01.

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