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Item Responses in Quantity-Frequency Questionnaires: Implications for Data Generalizability.

Jordan E Stevens1, Emilie Shireman1, Douglas Steinley1

  • 1University of Missouri, Columbia, MO, USA.

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|June 27, 2019
PubMed
Summary
This summary is machine-generated.

Quantity-frequency questionnaires significantly impact alcohol consumption estimates. Using more detailed measures for quantity and frequency can improve the accuracy of alcohol consumption and binge drinking assessments.

Keywords:
alcohol consumptionmeasurementquantity–frequencytimeline follow-back

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Area of Science:

  • Addiction research
  • Survey methodology
  • Public health

Background:

  • Alcohol consumption is a key predictor of adverse health and social outcomes.
  • Existing research compares alcohol assessment methods like quantity-frequency (QF) questionnaires and daily diaries.
  • A common assumption is that QF measures are largely interchangeable in estimating population alcohol consumption.

Purpose of the Study:

  • To investigate how variations in survey instrument design affect estimates of alcohol consumption and heavy drinking.
  • To examine the impact of scale-specific item characteristics on consumption and binge drinking prevalence.
  • To provide recommendations for improving the accuracy of alcohol consumption assessment tools.

Main Methods:

  • Utilized timeline follow-back data to construct common QF consumption measures.
  • Analyzed three distinct datasets, encompassing clinical and community samples.
  • Evaluated the influence of response option number and consumption ranges within QF questionnaires.

Main Results:

  • Demonstrated that scale-specific item characteristics substantially influence estimated mean alcohol consumption.
  • Showed significant effects on the estimated prevalence of binge drinking based on questionnaire design.
  • Highlighted variability in alcohol consumption and heavy drinking estimates across different QF measures.

Conclusions:

  • The design of quantity-frequency questionnaires significantly impacts the accuracy of alcohol consumption estimates.
  • More resolved measures of quantity and frequency in questionnaires can mitigate estimation problems.
  • Optimizing survey instrument characteristics is crucial for reliable alcohol consumption research and public health surveillance.