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Ariane Leroyer, Marie Murcia, Jean-François Chastang

    Sante Publique (Vandoeuvre-Les-Nancy, France)
    |June 20, 2022
    PubMed
    Summary
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    The national EVREST (Evolution and Relations in Health at Work) survey weighting methodology was established, ensuring accurate, representative data. Differences between crude and weighted estimates were minimal, confirming the method

    Area of Science:

    • Occupational health research
    • Survey methodology
    • Statistical analysis

    Context:

    • The national EVREST (Evolution and Relations in Health at Work) survey collects crucial data on workplace health.
    • Accurate representation of the workforce is essential for meaningful analysis.
    • Weighting methodologies are vital for correcting sampling biases in large-scale surveys.

    Purpose:

    • To detail the weighting methodology applied to the EVREST survey data.
    • To evaluate the impact of weighting on survey estimates compared to crude data.
    • To assess the influence of a two-year time lag in reference data on estimation accuracy.

    Summary:

    • The EVREST survey data underwent a two-step weighting process: accounting for employee participation probability and calibrating sample margins.

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  • Reference data from annual social data declarations (DADS) from 2012 and 2014 were utilized.
  • Differences between crude and weighted estimates for 60 variables were analyzed to validate the methodology.

    • Impact:

    • Weighting ensures EVREST survey results accurately reflect the national workforce scope.
    • The applied methodology minimizes discrepancies between crude and weighted estimates, with 90% within ±2.0%.
    • A two-year gap in reference data demonstrated a negligible impact on the final estimates.