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The Multi-Item Randomized Response Technique

Sociological Methods & Research, 2008
The randomized response technique (RRT) attempts to reduce social desirability bias in self-reports by creating a probabilistic relationship between the response given and the question posed. The multi-item RRT extends the RRT procedure to scales composed of multiple items.
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Randomized Response Techniques Using Maximum Likelihood Estimator

Communications in Statistics - Theory and Methods, 2015
The randomized response (RR) technique with two decks of cards proposed by Odumade and Singh (2009) can always be made more efficient than the RR techniques proposed by Warner (1965), Mangat and Singh (1990), and Mangat (1994) by adjusting the proportion of cards in the decks. Arnab et al.
Raghunath Arnab, D. K. Shangodoyin
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Modifying Classical Randomized Response Techniques with Provision for True Response

Calcutta Statistical Association Bulletin, 2011
In this paper we consider four well-known randomized response models; the unrelated question model, the unknown repeated trial model, the forced response model and a model for quantitative responses. Traditionally these models are applied to the respondents chosen by simple random sampling with replacement.
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Christofides? randomized response technique in complex sample surveys

Metrika, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A new Tripartite Randomized Response Technique

Journal of the Nigerian Association of Mathematical Physics, 2013
In any research involving sensitive questions, respondents tend to refuse to answer such questions or give evasive response. Many randomized response sampling techniques were developed but could only handle two answer options; ‘Yes’ and ‘No’, among which are [8], e.t.c. In this paper, a tripartite randomized response sampling technique was developed to
Adebola, FB, Adepetun, AO
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A note on the randomized response technique

Communications in Statistics - Theory and Methods, 1977
It is pointed out that the usual estimators for the parameters of a randomized response model are not, contrary to popular belief, maximum likelihood estimators.
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Randomized Response (Theory and Techniques)

Journal of Marketing Research, 1988
Gad Nathan   +2 more
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Randomized Response and Indirect Survey Techniques

2022
Arijit Chaudhuri, Sanghamitra Pal
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