Nonrandomized response model for complex survey designs

• Authors: Raghunath Arnab , Dahud Kehinde Shangodoyin , Antonio Arcos

Abstracts

EN

Warner’s randomized response (RR) model is used to collect sensitive information for a broad range of surveys, but it possesses several limitations such as lack of reproducibility, higher costs and it is not feasible for mail questionnaires. To overcome such difficulties, nonrandomized response (NRR) surveys have been proposed. The proposed NRR surveys are limited to simple random sampling with replacement (SRSWR) design. In this paper, NRR procedures are extended to complex survey designs in a unified setup, which is applicable to any sampling design and wider classes of estimators. Existing results for NRR can be derived from the proposed method as special cases.

Keywords

EN

complex survey designs; parallel model; randomized response; probability proportional to size; varying probability sampling

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2019
• Volume: 20
• Issue: 1
• Pages: 67-86

Contributors

author

Raghunath Arnab

• University of Botswana, Botswana and University of KwaZulu-Natal, South Africa

• https://orcid.org/0000000157555857

author

Dahud Kehinde Shangodoyin

• University of Botswana, Botswana

• https://orcid.org/0000000204499510

author

Antonio Arcos

• University of Granada, Spain

Identifiers

DOI

10.21307/stattrans-2019-004

Biblioteka Nauki

1359279