article Open Access
Randomized response technique in agricultural surveys
International Journal of Statistics and Applied Mathematics · 2024 · Vol. 9(3S) · pp. 95–98
Bharti Bharti✉(Galgotias University)Rahul Banerjee(Indian Agricultural Statistics Research Institute)Pankaj Das(Galgotias University)Sarita Devi(Birsa Agricultural University)Ankita Ankita(Galgotias University)Bulbul Ahmed(Dr. Yashwant Singh Parmar University of Horticulture and Forestry)Nitin Varshney(Birsa Agricultural University)
Abstract
Sample surveys rely on representative subsets to infer characteristics of entire populations. However, sensitive topics, like illegal activities in agriculture, can lead to biased responses or refusals. The Randomized Response Technique (RRT) addresses this challenge by guaranteeing respondent anonymity through randomization, encouraging truthful disclosure. This paper explores various RRT models and their specialized applications, particularly within the agricultural sector and beyond.
Survey Sampling and Estimation TechniquesAgricultureRandomized responseAgricultural economicsEnvironmental scienceBusinessGeographyEconomicsStatisticsMathematicsArchaeology
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FWCI
0.71
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