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Editing data: what difference do consistency checks make?

U E Bauer1, T M Johnson

  • 1Chronic Disease Epidemiology Section, Bureau of Epidemiology, Division of Disease Control, Florida Department of Health, Tallahassee 32399-1734, USA. Ursula_Bauer@doh.state.fl.us

American Journal of Epidemiology
|May 3, 2000
PubMed
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Data inconsistencies in tobacco use surveys significantly impact findings. Different analytical methods yield varying prevalence estimates for student cigarette use, affecting comparisons between groups and studies.

Area of Science:

  • Public Health
  • Epidemiology
  • Survey Methodology

Background:

  • A 1998 Florida Department of Health survey assessed tobacco use in nearly 23,000 public school students (grades 6-12).
  • The survey's lack of skip patterns created potential for data inconsistencies among respondents.

Purpose of the Study:

  • To examine five methods for handling data inconsistencies in a school-based tobacco use survey.
  • To assess the impact of these methods on prevalence estimates of current cigarette use.

Main Methods:

  • Analysis of high school (grades 9-12) data from the 1998 Florida tobacco use survey.
  • Comparison of five distinct approaches for addressing self-reported data contradictions.

Main Results:

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  • Point estimates for current cigarette use varied from 25.6% to 29.7% based on the analytical approach.
  • Missing respondent counts ranged from less than 1% to 13%.
  • Prevalence estimates showed significant differences by gender and race, with the magnitude varying by method.

    • Conclusions:

    • The chosen method for handling data inconsistencies influences survey point estimates and the reported differences between demographic groups.
    • Methodological choices impact the comparability of findings with other tobacco use studies.
    • Reporting on data consistency handling is crucial for accurate interpretation of survey results.