EconPapers    
Economics at your fingertips  
 

Randomized Response Techniques

S. P. Mukherjee (), Bikas K. Sinha and Asis Kumar Chattopadhyay ()
Additional contact information
S. P. Mukherjee: University of Calcutta, Department of Statistics
Bikas K. Sinha: Indian Statistical Institute
Asis Kumar Chattopadhyay: University of Calcutta, Department of Statistics

Chapter Chapter 2 in Statistical Methods in Social Science Research, 2018, pp 13-27 from Springer

Abstract: Abstract There are situations when we need information on sensitive features/characteristics of the individuals in a population. Usual sampling techniques based on ‘direct’ questionnaire may not be fruitful and are likely to lead to ‘refusal’ or ‘untruthful’ reporting. To overcome such undesirable consequences, randomized response techniques [RRTs, in short] have been introduced and extensively used in real-life situations. We discuss some salient features of this technique.

Keywords: Sensitive issues; Qualitative and quantitative questions; Direct response; Randomized response technique [RRT]; Warner’s RRT; Related and unrelated questions method; Not-at-homes; Block total response technique (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-13-2146-7_2

Ordering information: This item can be ordered from
http://www.springer.com/9789811321467

DOI: 10.1007/978-981-13-2146-7_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-12-08
Handle: RePEc:spr:sprchp:978-981-13-2146-7_2