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Estimating the prevalence of sensitive behaviour and cheating with a dual design for direct questioning and randomized response

Record type: Article

Randomized response is a misclassification design to estimate the prevalence of sensitive behaviour. Respondents who do not follow the instructions of the design are considered to be cheating. A mixture model is proposed to estimate the prevalence of sensitive behaviour and cheating in the case of a dual sampling scheme with direct questioning and randomized response. The mixing weight is the probability of cheating, where cheating is modelled separately for direct questioning and randomized response. For Bayesian inference, Markov chain Monte Carlo sampling is applied to sample parameter values from the posterior. The model makes it possible to analyse dual sample scheme data in a unified way and to assess cheating for direct questions as well as for randomized response questions. The research is illustrated with randomized response data concerning violations of regulations for social benefit

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Citation

van den Hout, Ardo, Böckenholt, Ulf and van der Heijden, Peter G.M. (2010) Estimating the prevalence of sensitive behaviour and cheating with a dual design for direct questioning and randomized response Journal of the Royal Statistical Society. Series C: Applied Statistics, 59, (4), pp. 723-736. (doi:10.1111/j.1467-9876.2010.00720.x). (PMID:21461334).

More information

e-pub ahead of print date: 21 June 2010
Published date: August 2010
Keywords: bayesian inference, cheating, misclassification, sensitive items, social benefit fraud
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 344660
URI: http://eprints.soton.ac.uk/id/eprint/344660
ISSN: 0035-9254
PURE UUID: b6ba305b-eeac-4bfc-9dac-5c551062cfe3

Catalogue record

Date deposited: 07 Nov 2012 15:22
Last modified: 18 Jul 2017 05:15

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Contributors

Author: Ardo van den Hout
Author: Ulf Böckenholt

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