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Related Experiment Videos

Personality risk and alcohol consumption: a latent variable analysis.

M Earleywine1, P R Finn, C S Martin

  • 1Indiana University, Bloomington 47405.

Addictive Behaviors
|January 1, 1990
PubMed
Summary

The link between personality traits and alcohol consumption may be stronger than previously thought. Advanced statistical methods reveal a significant correlation, suggesting further research into personality and drinking behaviors is warranted.

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Area of Science:

  • Psychology
  • Behavioral Science
  • Addiction Research

Background:

  • Previous research indicates modest correlations between personality measures and alcohol consumption.
  • These findings have led to the conclusion that the personality-drinking relationship is weak.
  • However, measurement error in personality and alcohol consumption may attenuate observed correlations.

Purpose of the Study:

  • To re-evaluate the relationship between personality characteristics and alcohol consumption.
  • To address the potential underestimation of the true correlation due to measurement unreliability.
  • To explore the strength of the underlying association between personality constructs and drinking behavior.

Main Methods:

  • Utilized confirmatory factor analysis (CFA).

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  • Treated personality and alcohol consumption measures as fallible indicators of latent constructs.
  • Estimated the structural relationship between these underlying constructs.
  • Main Results:

    • A strong correlation of .80 was found between the latent personality and alcohol consumption constructs.
    • This indicates a substantially stronger relationship than suggested by direct correlational analyses.
    • The findings highlight the impact of measurement reliability on observed associations.

    Conclusions:

    • The relationship between personality and alcohol consumption is likely stronger than previously reported.
    • Measurement unreliability significantly attenuates observed correlations in this domain.
    • Further investigation using structural modeling approaches is recommended for a more accurate understanding of personality-drinking links.