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Related Experiment Videos

Comparison of three alcohol consumption measures: a concurrent validity study

K A Grant1, J S Tonigan, W R Miller

  • 1Department of Psychology, University of New Mexico, Albuquerque 87131-1161, USA.

Journal of Studies on Alcohol
|March 1, 1995
PubMed
Summary

This study compared alcohol consumption measures, finding the grid method overestimated drinking days but underestimated intoxication. Participants had less confidence in timeline follow-back accuracy.

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Area of Science:

  • Alcohol research
  • Psychometrics
  • Substance abuse studies

Background:

  • Accurate measurement of alcohol consumption is crucial for treatment outcome research.
  • Different methods, including timeline follow-back and averaging techniques, exist for assessing drinking patterns.
  • Understanding the comparative validity of these measures is essential for reliable research findings.

Purpose of the Study:

  • To compare the validity and reliability of three distinct alcohol consumption measures.
  • To evaluate a 90-day timeline follow-back method against quantity-frequency and grid measures.
  • To inform the selection of appropriate alcohol assessment tools in research settings.

Main Methods:

  • A counterbalanced design was employed to compare three alcohol consumption measures.

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  • Participants included 42 males and 30 females.
  • Measures assessed included a 90-day timeline follow-back, a quantity-frequency scale, and a grid measure.
  • Main Results:

    • All three measures demonstrated reasonable agreement in assessing alcohol consumption.
    • The grid measure significantly overestimated drinking days and total consumption.
    • The grid measure underestimated peak intoxication levels, while timeline follow-back reports had lower subject confidence.

    Conclusions:

    • The choice of alcohol consumption measure impacts study outcomes, particularly in treatment research.
    • The grid measure may inflate estimates of drinking frequency and quantity.
    • Further consideration of measure-specific biases and participant confidence is warranted for accurate alcohol use assessment.