An Indirect Forced Quantitative Randomized Response Model

다국어 초록 (Multilingual Abstract)

To procure a reliable information from the population related to the privacy, Warner (1965) proposed an ingenious model, called randomized response model (RRM). Since then many researchers including Eichhorn, Hayre (1983), have developed the method for the estimation of the mean of the stigmatized variable beyond the estimation of the population proportion of a sensitive attribute which was originally suggested by Warner in 1965. We suggest an indirect forced quantitative randomized response (IFQRR) model in which we use the scrambled response of Gupta et al. (2002) instead of using that of Eichhorn, Hayre (1983) which Saha (2011) used. By so doing, we can demand true response twice indirectly from respondent and we extend it to stratified population and compare the efficiency of our model with Saha (2011) model and Gupta et al. (2002) model. We can see that the suggested model is always more efficient than Saha (2011) model regardless of the values of q_{ihj} (i=1,2) under the condition of theta = 1 and is more efficient than that of Gupta et al. (2002) when q_{ihj} ge q.

참고문헌 (Reference)

1 이기성, "확률비례 무관질문모형" 한국자료분석학회 9 (9): 1471-1483, 2007

2 이기성, "층화 반복계통 무관질문모형" 한국자료분석학회 14 (14): 781-791, 2012

3 안승철, "층화 무관질문모형" 한국자료분석학회 5 (5): 853-864, 2003

4 이기성, "반복계통 확률화응답모형" 한국자료분석학회 12 (12): 1549-1558, 2010

5 Eichhorn, B. H., "Scrambled randomized response methods for obtaining sensitive quantitative data" 7 : 307-316, 1983

6 Raj, D., "Sampling Theory" McGraw-Hill 1968

7 Warner, S. L., "Randomized Response ; A Survey Technique for Eliminating Evasive Answer Bias" 60 : 63-69, 1965

8 Lee, G. S., "Modified Nayak's Randomized Response Model" 6 (6): 117-129, 1999

9 Gupta, S., "Estimation of sensitivity level of personal interview survey questions" 100 : 239-247, 2002

10 Saha, A., "An Optional Scrambled Randomized Response Technique for Practical Surveys" 73 : 139-149, 2011