Browse > Article
http://dx.doi.org/10.5392/JKCA.2017.17.10.065

Analysis of Prostitution Survey Using Randomized Response Model(RRM)  

Son, Chang-Kyoon (동국대학교(경주) 응용통계학과)
Joo, Jae-Jin (동국대학교(경주) 행정경찰공공학과)
Publication Information
The Journal of the Korea Contents Association / v.17, no.10, 2017 , pp. 65-71 More about this Journal
Abstract
It is true that there is a possibility of distortion in the statistical surveys or actual surveys depending on which investigator, what purpose, and how research method. Even statistical results are more likely to be 'lying', and statistics on crime or delinquent are sometimes referred to as 'whopper'. There are many reasons for not trusting statistics on crime or delinquent, but one of the main causes is the existence of a hidden crime or an unreported crime. In order to overcome these hidden crime problems, victim surveys or self-report surveys are being used. However, this method also has the problem of underreporting or overreporting depending on the type of crime. Because investigations into crime, delinquency, and deviant behavior are very sensitive, the subjects have a psychological burden. A randomized response model has been developed and used in the field of statistics as a way to induce a true answer to the sensitive content which is burdensome to reveal the experiences of the survey subjects. This technique is a very useful way to solve the problems of victim surveys or self-report surveys. Nevertheless, there are very few cases in the field of criminology in Korea. Therefore, in order to examine the applicability of the randomized response model in the field of criminology, this study used the randomized response model to actually measure the content of prostitution for college students and the effectiveness of the randomized response model was confirmed.
Keywords
Randomized Response Model; Prostitution; Hidden Crime; Self-report Survey; Victim Survey;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. L. Warner, "Randomized response ; A survey technique for eliminating evasive answer bias," Journal of the American Statistical Association, Vol.60, pp.63-69, 1965.   DOI
2 김종호, 류제복, 이기성, "새로운 2 단계 확률화응답모형," 응용통계연구, 제5권, 제2호, pp.157-167, 1992.
3 B. G. Greenberg, R. R. Kubler, J. R. Abernathy, D. G. and Horvitz, "Applications of the RR technique in obtaining quantitative data," Journal of the American Statistical Association, Vol.66, pp.243-250, 1971.   DOI
4 W. Drane, "Randomized Response to More Than One Question," Proceedings of the American Statistical Association, Social Statistics Section, pp.395-397, 1975.
5 박철현, 정혜원, 장안식, "범죄학 연구에서 확률화 응답모형(RRM)의 활용: 성매매조사의 개선 방안," 여성연구, 제84권, pp.213-237, 2013.