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. Author manuscript; available in PMC: 2014 Feb 12.
Published in final edited form as: Law Hum Behav. 2013 Jun 10;38(1):23–33. doi: 10.1037/lhb0000036

Table 5.

OLS Regression for Psychopathy by Intelligence Moderation Models Predicting 36-month Follow-up Aggressive Offending Variety (N = 1,354)

Predictor Total ß Factor 1 ß Factor 2 ß
Step 2
 Male .074** .083** .072**
 Age −.064* −.048 −.065*
 Philadelphia −.058* −.061* −.056
 Psychopathy Variable .170*** .094** .189***
 IQ .035 .034 .036
Step 3
 Male .074** .083** .072**
 Age −.063* −.047 −.064*
 Philadelphia −.060* −.063* −.058*
 Psychopathy Variable .170*** .095** .189***
 IQ .032 .030 .035
 Psychopathy Variable × IQ .048 .048 .036

Note: Step 1 ßs for all psychopathy scores: male (.086***), age (.043), Philadelphia (.079***). For Total Psychopathy: R2= .016, for Step 1 (p < .05); ΔR2= .029, for Step 2 (p < .05); ΔR2= .002, for Step 3 (p < .05). For Factor 1: R2= .016, for Step 1 (p < .05); ΔR2= .010, for Step 2 (p < .05); ΔR2= .002, for Step 3 (p < .05). For Factor 2: R2= .016, for Step 1 (p < .05); ΔR2= .036, for Step 2 (p < .05); ΔR2= .001, for Step 3 (p < .05).

*

p < .05,

**

p < .01,

***

p < .001.