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Logistic randomized response model
pp. 305-314
Abstract
Sensitive topics or highly personal questions are often faced in medical psychological and socio-economic survey. Warner's pioneering randomized response (RR) device, as a method for reducing evasive answer bias while estimating the proportion of people in a community bearing a sensitive attribute, has been studied extensively over the last four decades. This paper proposes a new model (named the logistic model) for survey sampling with sensitive characteristics, and provides the suitable estimators for estimating an unknown proportion of people bearing a sensitive characteristic in a given community. That is a development for some existing research results concerning the randomized response theory. A numerical study comparing the performance of the proposed procedure and Warner's (1965)[10]procedure is reported.
Publication details
Published in:
Cao Bing-yuan, Zhang Cheng-yi, Li Tai-fu (2009) Fuzzy information and Engineering I. Dordrecht, Springer.
Pages: 305-314
DOI: 10.1007/978-3-540-88914-4_38
Full citation:
Yan Zai-zai, Ji Peng-hao (2009) „Logistic randomized response model“, In: B. Cao, C. Zhang & T.-f. Li (eds.), Fuzzy information and Engineering I, Dordrecht, Springer, 305–314.