A mixed randomized response model

Jong Min Kim; William D. Warde

doi:10.1016/j.jspi.2004.03.011

A mixed randomized response model

Jong Min Kim, William D. Warde

Statistics (Morris)

Research output: Contribution to journal › Article › peer-review

51 Scopus citations

Abstract

To implement the privacy problem with the Moors (J. Amer. Statist. Assoc. 66 (1971) 627) model, Mangat et al. (Commun. Statist. Theory Methods 26(3) (1997) 243) and Singh et al. (J. Statist. Plann. Inference 83 (2000) 243) presented several strategies as an alternative to Moors model, but their models may lose a large portion of data information and require a high cost to obtain confidentiality of the respondents. Our proposed model has the advantage of simplicity over the previous models while protecting confidentiality. We extend the proposed model to stratified sampling.

Original language	English (US)
Pages (from-to)	211-221
Number of pages	11
Journal	Journal of Statistical Planning and Inference
Volume	133
Issue number	1
DOIs	https://doi.org/10.1016/j.jspi.2004.03.011
State	Published - Jul 1 2005

Keywords

Dichotomous population
Estimation of proportion
Privacy of respondent
Randomized response technique
Sensitive characteristics
Stratified random sampling

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10.1016/j.jspi.2004.03.011

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AB - To implement the privacy problem with the Moors (J. Amer. Statist. Assoc. 66 (1971) 627) model, Mangat et al. (Commun. Statist. Theory Methods 26(3) (1997) 243) and Singh et al. (J. Statist. Plann. Inference 83 (2000) 243) presented several strategies as an alternative to Moors model, but their models may lose a large portion of data information and require a high cost to obtain confidentiality of the respondents. Our proposed model has the advantage of simplicity over the previous models while protecting confidentiality. We extend the proposed model to stratified sampling.

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KW - Estimation of proportion

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KW - Randomized response technique

KW - Sensitive characteristics

KW - Stratified random sampling

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A mixed randomized response model

Abstract

Keywords

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