Year: 2025
Type: article
Abstract: 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.
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
Award: G1165803018
OpenAlex ID: W4412020105