Bayesian analysis of randomized response sum score variables

Joon Jin Song, Jong-Min Kim

    Research output: Contribution to journalArticlepeer-review

    2 Scopus citations

    Abstract

    The randomized-response (RR) technique is an effective survey method when collecting sensitive information. In this technique, a probability mechanism using randomization devices is commonly involved in answering to sensitive questions. In order to evaluate the survey at the most accurate extend, self-protection (SP) is introduced to describe the responses by participants who give the evasive answer without taking the result of the randomization device into account. In this study, we propose a Bayesian approach to modeling RR sum score variables under SP assumption. RR data from a Dutch survey on non-compliance with social security regulation in 2004 is used to demonstrate the proposed models.

    Original languageEnglish (US)
    Pages (from-to)1875-1884
    Number of pages10
    JournalCommunications in Statistics - Theory and Methods
    Volume41
    Issue number10
    DOIs
    StatePublished - Jul 2 2012

    Keywords

    • Bayesian inference
    • Confidentiality
    • Poisson regression model
    • Randomized response model
    • Zero-inflated poisson model

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