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an examination of the factor structure of the psychopathy checklist

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association between <strong>the</strong> dichotomous instrumentality <strong>an</strong>d categorical <strong>psychopathy</strong><br />

variables was not signific<strong>an</strong>t, χ 2 (2) = 1.39, p = .50.<br />

Using <strong>the</strong> categorical instrumentality variable, a one-way ANOVA was conducted<br />

to determine if continuous <strong>psychopathy</strong> scores increase with instrumentality. The<br />

ANOVA was not signific<strong>an</strong>t, F (3, 116) = 1.05, p = .37 with a me<strong>an</strong> square (MS) for error<br />

<strong>of</strong> 50.46.<br />

The association between <strong>the</strong> categorical instrumentality <strong>an</strong>d dichotomous<br />

<strong>psychopathy</strong> (score ≥ 25) variables was not signific<strong>an</strong>t, χ 2 (3) = .17, p = .98. The<br />

association between <strong>the</strong> categorical instrumentality <strong>an</strong>d dichotomous <strong>psychopathy</strong><br />

(score ≥ 30) variables was also not signific<strong>an</strong>t, χ 2 (3) = 1.92, p = .59. Fur<strong>the</strong>r, <strong>the</strong><br />

association between <strong>the</strong> categorical instrumentality <strong>an</strong>d categorical <strong>psychopathy</strong><br />

variables was not signific<strong>an</strong>t, χ 2 (6) = 4.66, p = .59.<br />

Two hierarchical multiple regressions were conducted to determine <strong>the</strong><br />

contributions <strong>of</strong> each <strong>of</strong> <strong>the</strong> <strong>factor</strong>s <strong>an</strong>d facets <strong>of</strong> <strong>the</strong> PCL:YV to <strong>the</strong> prediction <strong>of</strong><br />

instrumentality. Based on previous research (e.g., Agar, 2009, Carpenter, 2010; Flight &<br />

Forth, 2007; Woodworth & Porter, 2002), I expected Factor 1 <strong>an</strong>d Facets 1 <strong>an</strong>d 2 to be<br />

strong predictors <strong>of</strong> instrumentality. Therefore, in <strong>the</strong> first multiple regression <strong>an</strong>alysis,<br />

Factor 1 was entered in block one, while Factor 2 was entered into <strong>the</strong> model in block<br />

two. The results <strong>of</strong> this regression <strong>an</strong>alysis indicated Factor 1 did not account for a<br />

signific<strong>an</strong>t proportion <strong>of</strong> <strong>the</strong> instrumentality, R 2 = .01, R 2 adj = .002, F (1,118) = 1.19, p =<br />

.28, nor did Factor 2, R 2 = .01, R 2 adj = -.004, F (2,117) = .79, p = .46.<br />

Similarly, <strong>the</strong> regression <strong>an</strong>alysis results comparing <strong>the</strong> four facets indicated Facet<br />

1 <strong>an</strong>d 2 did not account for a signific<strong>an</strong>t proportion <strong>of</strong> instrumentality, R 2 = .01, R 2 adj =<br />

50

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