Randomized Response Survey
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A Randomized Response Survey is a Survey Method that ...
- See: Survey Research.
References
2016
- (Wikipedia, 2016) ⇒ http://wikipedia.org/wiki/randomized_response Retrieved:2016-3-16.
- Randomized response is a research method used in structured survey interview. It was first proposed by S. L. Warner in 1965 and later modified by B. G. Greenberg in 1969. It allows respondents to respond to sensitive issues (such as criminal behavior or sexuality) while maintaining confidentiality. Chance decides, unknown to the interviewer, whether the question is to be answered truthfully, or "yes", regardless of the truth.
For example, social scientists have used it to ask people whether they use drugs, whether they have illegally installed telephones, or whether they have evaded paying taxes. Before abortions were legal, social scientists used the method to ask women whether they had had abortions.
- Randomized response is a research method used in structured survey interview. It was first proposed by S. L. Warner in 1965 and later modified by B. G. Greenberg in 1969. It allows respondents to respond to sensitive issues (such as criminal behavior or sexuality) while maintaining confidentiality. Chance decides, unknown to the interviewer, whether the question is to be answered truthfully, or "yes", regardless of the truth.
2011
- (Lensvelt-Mulders et al., 2006) ⇒ Gerty JLM Lensvelt-Mulders, Peter GM Van Der Heijden, Olav Laudy, and Ger Van Gils. (2006). “A Validation of a Computer-assisted Randomized Response Survey to Estimate the Prevalence of Fraud in Social Security.” In: Journal of the Royal Statistical Society: Series A (Statistics in Society), 169(2).
- QUOTE: … In these studies the sensitive questions about fraud are posed by using a randomized response method. … Both surveys used computer-assisted self-interviews with randomized response questions. This study has three goals: first to present the research tradition that makes use of randomized response, second to compare the results of home interviews and the Internet survey and finally to introduce an adapted weighted logistic regression method to test the relationship between the probability of fraud and explanatory variables.