Utilization of higher order moments of scrambling variables in randomized response sampling

Singh, Sarjinder; Chen, Cheng C.

doi:10.1016/j.jspi.2009.01.014

Cited by 11 publications

(1 citation statement)

References 14 publications

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“…Warner (1965) and Greenberg et al (1969) proposed the initial randomizedresponse techniques which is an effective survey method to find such estimates because individual anonymity. Recently, many randomized-response variant techniques are proposed by Barabesi (2009), Cruyff et al (2008), Gjestvang and Singh (2006), and Singh and Chen (2009). We do not aim to provide a comprehensive literature review here.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Analysis of Randomized Response Sum Score Variables

Song

Kim

2012

Communications in Statistics - Theory and Methods

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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.

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