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an examination of the factor structure of the psychopathy checklist

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eceiving services from YFPS. Although <strong>the</strong> PCL:YV is designed to be completed based<br />

on <strong>an</strong> extensive file review, <strong>an</strong>d a semi-<strong>structure</strong>d interview, scores from file review only<br />

are acceptable when conducting <strong>an</strong> archival study (Forth, 2005) <strong>an</strong>d <strong>the</strong>re is<br />

considerable evidence to support its validity based on file review alone (Forth et al.,<br />

2003). Fur<strong>the</strong>r, research among adults (e.g., Bolt et al., 2004; Gr<strong>an</strong>n, L<strong>an</strong>gstroem,<br />

Tengstroem, & Stalenheim, 1998; Wong, 1988) has consistently shown that<br />

assessments based solely on <strong>the</strong> <strong>of</strong>fender’s file information are highly similar to ratings<br />

based on both file review <strong>an</strong>d <strong>an</strong> interview <strong>an</strong>d are appropriate provided that <strong>the</strong>re is<br />

sufficient file information. As <strong>the</strong> psychometric properties <strong>of</strong> <strong>the</strong> PCL:YV so closely<br />

resemble <strong>the</strong> PCL – R, we expected <strong>psychopathy</strong> to be reliably measured on a file-only<br />

basis. The primary rater (i.e., <strong>the</strong> author) was blind to <strong>the</strong> instrumentality coding while<br />

completing <strong>the</strong> PCL:YV.<br />

The author was trained in using Woodworth <strong>an</strong>d Porter’s (2002) coding scheme by<br />

Dr. Michael Woodworth. She <strong>the</strong>n trained <strong>the</strong> secondary rater on how to use this coding<br />

scheme as well as <strong>the</strong> ARF. Both <strong>the</strong> primary researcher <strong>an</strong>d <strong>the</strong> volunteer were kept<br />

blind to <strong>the</strong> <strong>of</strong>fenders’ PCL:YV scores during <strong>the</strong> coding process.<br />

Analyses were completed using <strong>the</strong> Predictive Analytics S<strong>of</strong>tWare (PASW)<br />

version 18, using a Type I error rate <strong>of</strong> .05. Using <strong>the</strong> PASW add-on, Amos,<br />

confirmatory <strong>factor</strong> <strong>an</strong>alysis (CFA) was employed to examine <strong>the</strong> construct validity <strong>of</strong><br />

<strong>the</strong> two-<strong>factor</strong>, three-<strong>factor</strong>, <strong>an</strong>d four-facet models. To examine how <strong>the</strong> best-fitting<br />

PCL:YV <strong>factor</strong> model is related to instrumental aggression, structural equation modeling<br />

(SEM) was <strong>the</strong> method selected. SEM provides a comprehensive <strong>an</strong>d flexible approach<br />

to data <strong>an</strong>alysis (Hoyle & Smith, 1994). SEM improves statistical estimation by<br />

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