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A multi-test alcoholic taxonomy: canonical coefficient clusters.

P D Retzlaff1, S Bromley

  • 1Department of Psychology, University of Northern Colorado, Greeley 80639.

Journal of Clinical Psychology
|March 1, 1991
PubMed
Summary
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This study identifies six distinct alcoholic personality subtypes using advanced statistical methods. These subtypes offer a more reliable way to understand personality differences in individuals with alcohol use disorders.

Area of Science:

  • Psychology
  • Psychopathology
  • Personality Science

Background:

  • Subtyping alcoholic personalities has lacked convergence due to methodological limitations.
  • Previous research often relied on single, theoretically limited, or distress-heavy inventories.

Purpose of the Study:

  • To transcend idiosyncratic cluster solutions in alcoholic personality research.
  • To establish a robust, theoretically grounded method for identifying alcoholic personality subtypes.

Main Methods:

  • Utilized canonical correlation between the Basic Personality Inventory (BPI) and the Millon Clinical Multiaxial Inventory (MCMI).
  • Cluster analyzed the resulting global canonical variates to derive a six-cluster solution.
  • Described subtypes based on canonical variate scores and psychometric inventory data.

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Main Results:

  • Identified a six-cluster solution representing distinct alcoholic personality subtypes.
  • Characterized these subtypes through their unique profiles on canonical variates and underlying psychometric measures.
  • Demonstrated a more convergent approach to personality subtyping in alcoholism.

Conclusions:

  • The proposed method offers a more stable and theoretically appealing approach to subtyping alcoholic personalities.
  • The identified six subtypes provide a framework for understanding heterogeneity in individuals with alcohol use disorders.
  • This research advances the field by providing a psychometrically sound basis for personality-based alcoholism subtypes.