The Takahasi-Sakasegawa Randomized Response Technique
Author
Abstract
Suggested Citation
DOI: 10.1177/0049124182011001006
Download full text from publisher
References listed on IDEAS
- Koiti Takahasi & Hirotaka Sakasegawa, 1977. "A randomized response technique without making use of any randomizing device," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 29(1), pages 1-8, December.
- Hair, Joseph Jr. & Bush, Ronald F. & Busch, Paul, 1976. "Employee theft: Views from two sides," Business Horizons, Elsevier, vol. 19(6), pages 25-29, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Blume, Andreas & Lai, Ernest K. & Lim, Wooyoung, 2019.
"Eliciting private information with noise: The case of randomized response,"
Games and Economic Behavior, Elsevier, vol. 113(C), pages 356-380.
- Blume, Andreas & Lai, Ernest K. & Lim, Wooyoung, 2014. "Eliciting Private Information with Noise: The Case of Randomized Response," Center for Mathematical Economics Working Papers 490, Center for Mathematical Economics, Bielefeld University.
- John, Leslie K. & Loewenstein, George & Acquisti, Alessandro & Vosgerau, Joachim, 2018. "When and why randomized response techniques (fail to) elicit the truth," Organizational Behavior and Human Decision Processes, Elsevier, vol. 148(C), pages 101-123.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Liu, Yin & Tian, Guo-Liang, 2013. "A variant of the parallel model for sample surveys with sensitive characteristics," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 115-135.
- Saigo, Hiroshi, 2021. "The independence assumption in the mixed randomized response model," Statistics & Probability Letters, Elsevier, vol. 170(C).
- Guo-Liang Tian, 2014. "A new non-randomized response model: The parallel model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(4), pages 293-323, November.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:somere:v:11:y:1982:i:1:p:101-111. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.