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Using the Personality Assessment Inventory to Predict Male Offenders’ Conduct During and Progression Through Substance Abuse Treatment
Texas A&M University, US.
Emory University, US.
Mid Sweden University, Faculty of Human Sciences, Department of Social Sciences. Simon Fraser University, Canada.
University of South Florida, US.
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2012 (English)In: Psychological Assessment, ISSN 1040-3590, E-ISSN 1939-134X, Vol. 24, no 1, p. 216-225Article in journal (Refereed) Published
Abstract [en]

Prior research has supported the utility of the Personality Assessment Inventory (PAI; Morey, 1991, 2007) to predict various negative outcomes among offender samples, yet few studies have specifically examined its association with behavior in treatment. In this study, the PAI was administered to 331 male offenders court ordered into substance abuse treatment. Several theoretically relevant PAI scales (e.g., Antisocial Features, Borderline Features) predicted various forms of problematic conduct (e.g., disruptive behavior, aggression) and subjective and objective ratings of treatment progress. Although there was relatively limited evidence for the superiority of any one predictor over the others, the Aggression (AGG) scale demonstrated incremental validity above and beyond other indicators for general noncompliance and aggressive behavior. Interpersonal scales also predicted select treatment behavior while sharing relatively little common variance with AGG. These findings highlight the importance of distinguishing lower order and higher order dimensions on the PAI and other measures.

Place, publisher, year, edition, pages
2012. Vol. 24, no 1, p. 216-225
Keyword [en]
Personality Assessment Inventory, substance abuse, aggression, interpersonal style, treatment outcome
National Category
Psychology
Identifiers
URN: urn:nbn:se:miun:diva-31730DOI: 10.1037/a0025359PubMedID: 21928911Scopus ID: 2-s2.0-84863097239OAI: oai:DiVA.org:miun-31730DiVA: diva2:1146249
Available from: 2017-10-02 Created: 2017-10-02 Last updated: 2017-10-02Bibliographically approved

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Douglas, Kevin S.

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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