August 7, 2025MathematicsOpen Access

Some Calibration Estimators of the Mean of a Sensitive Variable Under Measurement Error

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MAIN FINDING: The Optional Randomized Response Technique shows superior efficiency in estimating means under measurement error.
KEY EVIDENCE: Simulation results reveal that the Optional Randomized Response Technique outperforms other methods tested.
APPROACH: Three randomized response techniques were evaluated using real COVID-19 infection data for their calibration properties.
SIGNIFICANCE: Improved methods for handling sensitive variables can lead to better data quality in survey research.

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Randomized response techniques improve estimation of sensitive variable means under measurement error, suggesting better data quality.

Gupta et al. (2025) studied this question.

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