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Estimating concealment behavior via innovative and effective randomized response model
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Estimating concealment behavior via direct questioning often fail. One proposed and effective solution to tackle this challenge is the Randomized Response Technique (RRT). This study aims to present a new efficient and easily applicable randomized response model as a tool for measuring concealment behavior. Efficiency examination and privacy protection of the proposed model are analyzed. As a real-world implementation of the model, the case of COVID-19 non-disclosure among university students is investigated as an example of concealment behavior. The proposed model, with a rational choice of parameters, was tested on a sample of university students and proved to be practically reliable. Health status disclosure ratio was estimated. This estimate serves as a foundation for predicting the concealment behavior in different fields.
Title: Estimating concealment behavior via innovative and effective randomized response model
Description:
Estimating concealment behavior via direct questioning often fail.
One proposed and effective solution to tackle this challenge is the Randomized Response Technique (RRT).
This study aims to present a new efficient and easily applicable randomized response model as a tool for measuring concealment behavior.
Efficiency examination and privacy protection of the proposed model are analyzed.
As a real-world implementation of the model, the case of COVID-19 non-disclosure among university students is investigated as an example of concealment behavior.
The proposed model, with a rational choice of parameters, was tested on a sample of university students and proved to be practically reliable.
Health status disclosure ratio was estimated.
This estimate serves as a foundation for predicting the concealment behavior in different fields.
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