Nonrandomized Response Model for Complex Survey Designs

• Autorzy: Raghunath Arnab , Dahud Kehinde Shangodoyin , Antonio Arcos
• Języki publikacji: EN

Abstrakty

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. (original abstract)

Słowa kluczowe

EN

Methodology of statistical surveys; Statistical models; Sampling survey; Sensitive data; Randomization

PL

Metodologia badań statystycznych; Modele statystyczne; Badania reprezentacyjne; Dane wrażliwe; Randomizacja

• Czasopismo: Statistics in Transition
• Rocznik: 2019
• Tom: 20
• Numer: nr 1
• Strony: 67--86

Twórcy

autor

Raghunath Arnab

• University of Botswana, Botswana

autor

Dahud Kehinde Shangodoyin

• University of Botswana, Botswana

autor

Antonio Arcos

• University of Granada, Spain

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Identyfikatory

DOI

10.21307/stattrans-2019-004