Nipping psychopathy in the bud: An examination of the convergent, predictive and theoretical utility of the PCL-YV among adolescent girls

Resource type
Date created
2005
Authors/Contributors
Author: Odgers, C.
Abstract
Over the last decade rates of violence among adolescent girls have increased. Within high-risk contexts, urgent calls for assessment options have resulted in the extension of adult and male-based instruments to adolescent females in spite of the absence of strong empirical support. The current study evaluates the downward extension of psychopathy within a population of female juvenile offenders (N=125). The convergent and predictive validity of the Psychopathy Checklist-Youth Version (PCL-YV) were evaluated within a structural equation modeling (SEM) framework. Results indicated that while a specific component of psychopathy, deficient affective experience, was related to aggression, the effect was negated once victimization experiences were entered into the models. In addition, PCL-YV scores were not predictive of future offending, while victimization experiences significantly increased the odds of re-offending. Implications for research, policy, and clinical practice are discussed.
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Published as
This is the peer reviewed version of the following article: Odgers, C. L., Reppucci, N. D., & Moretti, M. M. (2005). Nipping psychopathy in the bud: An examination of the convergent, predictive, and theoretical utility of the PCL-YV among adolescent girls. Behavioral Sciences & The Law, 23(6), 743-763. doi:10.1002/bsl.664, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/bsl.664/epdf
Publication title
Behavioral Sciences & The Law
Document title
Nipping psychopathy in the bud: An examination of the convergent, predictive and theoretical utility of the PCL-YV among adolescent girls
Publisher
Wiley Online Library
Date
2005
Volume
23
Issue
6
First page
743
Last page
763
Publisher DOI
10.1002/bsl.664
Copyright statement
Copyright is held by the author(s).
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You are free to copy, distribute and transmit this work under the following conditions: You must give attribution to the work (but not in any way that suggests that the author endorses you or your use of the work); You may not use this work for commercial purposes.
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Peer reviewed?
Yes
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