Randomized Response and Indirect Questioning Techniques in Surveys

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A01=Arijit Chaudhuri
advanced sampling theory
Author_Arijit Chaudhuri
Category=JMB
CRR
Dichotomous Population
empirical survey techniques
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
estimator
General Sampling Schemes
inclusion
indirect questioning
Indirect Questioning Techniques
Innocuous Items
ISS
item count technique
ith
Ith Person
maximum likelihood estimation
nominative
nominative technique
ORR
person
privacy protection methods
privacy-preserving survey methodology
probability
quantitative data analysis
randomized response
RR
RR Device
RR Procedure
RR Strategy
RR Survey
RR Technique
RRT
Sample S1
Sampled Person
sampling
sampling design
sensitive
Sensitive Attribute
sensitive data collection
Si Si
Si Si Si
simple random sample with replacement
statistical disclosure control
Stigmatizing Characteristic
survey research
survey response
three-card method
unbiased
Unbiased Estimator
unequal
Unequal Probability Sampling
Unrelated Question Model

Product details

  • ISBN 9781138115422
  • Weight: 430g
  • Dimensions: 156 x 234mm
  • Publication Date: 31 May 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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For surveys involving sensitive questions, randomized response techniques (RRTs) and other indirect questions are helpful in obtaining survey responses while maintaining the privacy of the respondents. Written by one of the leading experts in the world on RR, Randomized Response and Indirect Questioning Techniques in Surveys describes the current state of RR as well as emerging developments in the field. The author also explains how to extend RR to situations employing unequal probability sampling.

While the theory of RR has grown phenomenally, the area has not kept pace in practice. Covering both theory and practice, the book first discusses replacing a direct response (DR) with an RR in a simple random sample with replacement (SRSWR). It then emphasizes how the application of RRTs in the estimation of attribute or quantitative features is valid for selecting respondents in a general manner. The author examines different ways to treat maximum likelihood estimation; covers optional RR devices, which provide alternatives to compulsory randomized response theory; and presents RR techniques that encompass quantitative variables, including those related to stigmatizing characteristics. He also gives his viewpoint on alternative RR techniques, including the item count technique, nominative technique, and three-card method.

Arijit Chaudhuri is a professor in the Applied Statistics Unit at the Indian Statistical Institute. Dr. Chaudhuri has published nearly 90 research papers in a variety of journals. He is the co-author of Survey Sampling: Theory and Methods, Second Edition (CRC Press, March 2005). His research interests include survey sampling and reliability.

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