응용통계연구 (The Korean Journal of Applied Statistics)

  • 제19권1호
  • /
  • Pages.69-80
  • /
  • 2006
  • /
  • 1225-066X(pISSN)
  • /
  • 2383-5818(eISSN)
한국통계학회 (The Korean Statistical Society)
권호 표지
DOI QR코드

DOI QR Code

확률비례추출법에 의한 확률화응답기법에 관한 연구

A Study on the Randomized Response Technique by PPS Sampling

  • 이기성 (우석대학교 컴퓨터학부)
  • 발행 : 2006.03.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구에서는 매우 민감한 조사에서 모집단이 집락의 크기가 서로 다른 여러 개의 집락으로 구성되어 있을 때, 집락의 크기에 비례하게 추출확률을 부여하는 확률비례추출법(probability proportional to size : pps)을 이용한 확률화응답기법을 제안하고자 한다. 민감한 속성에 대한 모수의 추정치와 분산 및 분산추정량을 구하여 이론적 체계를 구축하고, 확률비례추출법에 의한 확률화응답기법과 등확률 2단계 추출법에 의한 확률화응답기법의 효율성을 비교해 보고자 한다. 또한, 실제조사를 통해 제안한 확률비례추출법에 의한 확률화응답기법에 대한 실용화의 타당성을 검토하고자 한다.

In this study, we make an effort to find a method to acquire sensitive information when sensitive populations are consisted of several clusters that vary in size. We suggest and systemize the theoretical validity for applying RRT(Randomized Response Technique) to PPS(Probability Proportional to Size) sampling method and derive the estimate and it's variance of the proportion of sensitive characteristic of population by using the suggested method. We compare the efficiency of the suggested technique by two-stage equal probability sampling. We examine practical aspects of the suggested method of RRT by PPS sampling through field survey.

키워드

참고문헌

  1. 류재복, 이계오, 이기성 (1995). 확률화응답기법의 실용화 방안, <응용통계연구>, 8, 9-26
  2. 류제복, 홍기학, 이기성 (1993). <확률화응답모형>, 자유아카데미, 서울
  3. 박홍래 (1989). <통계조사론>, 영지문화사, 서울
  4. 이기성, 홍기학 (1998). 2단계 집락추출법에 의한 확률화응답기법, <한국통계학회논문집>, 5, 99-105
  5. 이기성, 홍기학, 손창균, 정영미 (2003). The three-stage cluster randomized response model for obtaining sensitive information, <한국통계학회논문집>, 10, 247-256
  6. Barth, J. T. and Sandler, H. M. (1976). Evaluation of the randomized response technique in a drinking survey, Journal of Studies on Alcohol, 37, 690-693 https://doi.org/10.15288/jsa.1976.37.690
  7. Begin, G., Boivin, M., and Bellerose, J. (1979). Sensitive data collection through the randomized response technique: some improvements, The Journal of Psychology, 101, 53-65 https://doi.org/10.1080/00223980.1979.9915052
  8. Chaudhuri, A. and Mukerjee, R. (1988). Randomized Response: Theory and Techniques, Marcel Dekker, Inc., New York
  9. Cochran, W. G. (1977). Sampling Techniques, 3rd ed. John Wiley and Sons, New York
  10. Danermark, B. and Swensson, B. (1987). Measuring drug use among swedish adolescents: randomized response versus anonymous questionnaires, Journal of Official Statistics, 3, 439-448
  11. Fox, J. A. and Tracy, P. E. (1986). Randomized Response: A Method for Sensitive Survey, Sage Publications
  12. 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
  13. Kim, J. M. and Warde, W. D. (2004). A stratified warner's randomized response model, Journal of Statistical Planning and Inference, 120, 155-165 https://doi.org/10.1016/S0378-3758(02)00500-1
  14. Liu, P. T. and Chow, L. P. (1976). A new discrete quantitative randomized model, Journal of the American Statistical Association, 71, 72-73 https://doi.org/10.2307/2285733
  15. Scheer, N. J. and Dayton, C. M. (1987). Improved estimation of academic cheating behavior using the randomized response technique, Research in Higher Education, 26, 61-69 https://doi.org/10.1007/BF00991933
  16. Tracy, P. E. and Fox, J. A. (1981). The validity of randomized response for sensitive measurements, American Sociological Review, 46, 187-200 https://doi.org/10.2307/2094978
  17. Warner, S. L. (1965). Randomized response; A survey technique for eliminating evasive answer bias, Journal of the American Statistical Association, 60, 63-69 https://doi.org/10.2307/2283137

피인용 문헌

  1. Estimation of a rare sensitive attribute in probability proportional to size measures using Poisson distribution vol.48, pp.3, 2014, https://doi.org/10.1080/02331888.2012.760091
  2. A two-stage unrelated randomized response model for estimating a rare sensitive attribute in probability proportional to size sampling using Poisson distribution 2018, https://doi.org/10.1080/03610926.2017.1361992
  3. An Additive Quantitative Randomized Response Model by Cluster Sampling vol.25, pp.3, 2012, https://doi.org/10.5351/KJAS.2012.25.3.447
  4. A new stratified three-stage unrelated randomized response model for estimating a rare sensitive attribute based on the Poisson distribution pp.1532-415X, 2018, https://doi.org/10.1080/03610926.2018.1438625