title: The Randomized Response Technique Application in the Survey of Homosexual Commercial Sex among Men in Beijing.
abstract: BACKGROUND
  Traditional survey methods may cause refusals to respond or untruthful replies when encounter the sensitive questions. The Randomized Response Technique (RRT) is designed to decrease social desirability bias and obtain reliable estimates. This study aimed to apply these new methods on the sensitive questions survey.
  
  
  METHODS
  Simmons model was applied in the survey of issues relevant to commercial sex among men who have sex with men (MSM) in Beijing, China. Stratified two-stage sampling and stratified random sampling were applied.
  
  
  RESULTS
  During July to December 2010 in Beijing, the commercial sex proportion among MSM was 0.051(95% CI: 0.017, 0.085), its estimated variance was 3.01×10(-4). The last male condom use rate during commercial sex was 0.778(95% CI: 0.746, 0.810), its estimated variance was 2.6×10(-4).
  
  
  CONCLUSIONS
  We have introduced new approaches for the sensitive question survey among MSM. The new approaches are proved to be reliable and valid.
authors.affiliation: Dept. of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University , Suzhou, China.
authors.forename: Xiangyu
authors.initials: X
authors.lastname: Chen
authors.affiliation: Dept. of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University , Suzhou, China.
authors.forename: Qiaoqiao
authors.initials: Q
authors.lastname: DU
authors.affiliation: Dept. of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University , Suzhou, China.
authors.forename: Zongda
authors.initials: Z
authors.lastname: Jin
authors.affiliation: Dept. of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University , Suzhou, China.
authors.forename: Tian
authors.initials: T
authors.lastname: Xu
authors.affiliation: Dept. of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University , Suzhou, China.
authors.forename: Jiachen
authors.initials: J
authors.lastname: Shi
authors.affiliation: Dept. of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University , Suzhou, China.
authors.forename: Ge
authors.initials: G
authors.lastname: Gao
keywords: China; Homosexual commercial sex; Randomized response technique; Stratified random sampling; Stratified two-stage sampling