Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
권호 표지

Two stage Chang's randomized response technique

2단계 창의 확률화응답기법

  • Received : 2010.02.02
  • Accepted : 2010.03.19
  • Published : 2010.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

The randomized response technique is an indirect question that employs a randomizing device to protect respondents' privacy. The technique is now considered the most efficient of the newly developed techniques. In this technique, Chang et al. (2004) suggests an improved forced-answer technique and finds more efficient conditions than Warner did in 1965. But it is the weakness of the technique to lose more information than a direct response technique does. Therefore, a lot of researches have developed new techniques to reduce loss of information, to enhance estimated efficiency, and to efficiently use collected information. Considering this tendency, this paper also tries to improve Chang's technique. It suggests the technique that is extended from Chang's and finds more efficient conditions than Chang's technique and Mangat and Singh's (1990) did.

확률화응답기법은 조사과정에서 응답자의 신분보호를 위하여 확률장치가 도입되는 간접질문방식이기 때문에 직접질문에 비하여 정보의 손실이 있게 된다. 그래서 확률장치에 기인한 이러한 손실을 줄여서 추정의 효율을 높이고 얻어진 정보를 좀 더 효율적으로 이용할 수 있는 새로운 기법의 개발에 관한 연구가 지속되어 온 바, 2단계 확률화응답기법은 이에 대한 일환으로 고려할 수 있는 방법이다. 한편 Chang 등 (2004) 또한 개선된 강요형기법을 제안하고 Warner (1965)에 비하여 효율적인 조건을 찾았다. 이에 본 연구에서는 Chang 등 (2004)의 기법을 2단계로 확장한 모형을 제안하고, Chang 등 (2004) 및 Mangat와 Singh (1990) 등의 2단계기법에 비하여 효율적인 조건을 찾아보았다.

Keywords

References

  1. 김종호, 류제복, 이기성 (1992). 새로운 2단계 확률화응답모형. <응용통계연구>, 5, 157-167.
  2. 류제복, 홍기학, 이기성 (1993). <확률화응답모형>, 자유아카데미, 한국.
  3. 최경호 (2000). 2단계 확률화응답기법의 효율성 평가. <한국통계학회논문집>, 7, 427-433.
  4. Abernathy, J. R., Greenberg, B. G. and Horvitz, D. G. (1970). Estimates of induced abortion in urban North Carolina. Demography, 7, 19-29. https://doi.org/10.2307/2060019
  5. Ahn, S. C., Lee, K. S. (2003). The three-stage cluster unrelated question model. Journal of the Korean Data & Information Science Society, 14, 55-65.
  6. Chang, H. J., Wang, C. L. and Huang, K. C. (2004). On estimating the proportion of a qualitative sensitive character using randomized response sampling. Quality and Quantity, 38, 675-680.
  7. Drane, W. (1976). On the theory of randomized response to sensitive questions. Communications in Statistics - Theory and Methods, 5, 565-574. https://doi.org/10.1080/03610927608827375
  8. Greenberg, B. G., Abul-Ela, Abdel-Latif A., Simmons, W. R. and Horvitz, D. G. (1969). The unrelated question randomized response model: Theoretical framework. Journal of the American Statistical Association, 64, 520-539. https://doi.org/10.2307/2283636
  9. Horvitz, D. G., Greenberg, B. G. and Abernathy, J. R. (1976). Randomized response: A data-gathering device for sensitive questions. International Statistical Review, 44, 181-196. https://doi.org/10.2307/1403276
  10. Lanke, J. (1976). On the degree of protection in randomized interviews. International Statistical Review, 44, 197-203. https://doi.org/10.2307/1403277
  11. Lee, K. S., Hong, K. H. (2002). A study on the multi trial of unrelated question models. Journal of the Korean Data & Information Science Society, 13, 25-34.
  12. Mangat, N. S. and Singh, R. (1990). An alternative randomized response procedures. Biometrika, 77, 439-442. https://doi.org/10.1093/biomet/77.2.439
  13. Park, H. C., Ryu, J. H. and Lee, S. Y. (2003). Implementation of forced answer model for sensitive information at on-line survey. Journal of the Korean Data & Information Science Society, 14, 489-499.
  14. Warner, S. L. (1965). A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63-69. https://doi.org/10.2307/2283137