Randomized Response Techniques: A Systematic Review from the Pioneering Work of Warner (1965) to the Present

Truong-Nhat Le, Shen-Ming Lee, Phuoc-Loc Tran and Chin-Shang Li ()
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Truong-Nhat Le: Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam
Shen-Ming Lee: Department of Statistics, Feng Chia University, Taichung 40724, Taiwan
Phuoc-Loc Tran: Department of Mathematics, College of Natural Science, Can Tho University, Can Tho 900000, Vietnam
Chin-Shang Li: School of Nursing, The State University of New York, Buffalo, NY 14214, USA

Mathematics, 2023, vol. 11, issue 7, 1-26

Abstract: The randomized response technique is one of the most commonly used indirect questioning methods to collect data on sensitive characteristics in survey research covering a wide variety of statistical applications including, e.g., behavioral science, socio-economic, psychological, epidemiology, biomedical, and public health research disciplines. After nearly six decades since the technique was invented, many improvements of the randomized response techniques have appeared in the literature. This work provides several different aspects of improvements of the original randomized response work of Warner, as well as statistical methods used in the RR problems.

Keywords: indirect questioning; non-randomized response technique; randomized response technique; sensitive attribute; statistical methods (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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