Enhanced Survey Estimation Using Calibration under Scrambled Response and Measurement Error
DOI:
https://doi.org/10.26713/jims.v17i4.3424Abstract
This study addresses the challenges of collecting accurate data on sensitive issues by applying various Scrambled Response Techniques combined with various calibration estimators under measurement error. A simulation study using real data evaluates the performance of the proposed estimators both with and without measurement error. Results show that the proposed method consistently outperforms traditional Scrambled Response Technique, demonstrating greater efficiency and reliability in handling sensitive survey data.
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