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논문 기본 정보

자료유형
학술저널
저자정보
Won Young Yun (Kyungpook National University) Balgobin Nandram (Worcester Polytechnic Institute) Dal Ho Kim (Kyungpook National University)
저널정보
한국데이터정보과학회 한국데이터정보과학회지 한국데이터정보과학회지 제30권 제6호
발행연도
2019.11
수록면
1,423 - 1,430 (8page)
DOI
10.7465/jkdi.2019.30.6.1423

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초록· 키워드

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When respondents are asked to answer sensitive questions, they are more likely to response untruthfully as they hesitate to expose their identity. Warner (1965) proposed a randomized design that uses a randomization device that is designed to conceal individual response and protect the respondent privacy, to reduce the response bias that can be generated through this. After that, numerous survey designs to reduce the response bias were proposed, and various estimation and simulation methods were studied from the Bayesian perspective. This study proposes an analysis method that has taken account of small-area to minimize the posterior standard deviation of sensitive proportions in a survey with sensitive questions. Then it compares the results between the individual model and the small-area model through the simulation. In addition, this study applies the two models which has and has not considered the small-area to the actual survey with sensitive questionnaires related to the organizational commitment to the experienced employees. This study confirms the results based on real data.

목차

Abstract
1. Introduction
2. Bayes estimation o a sensitive proportion for a small-area
3. Computations
4. Simulation study
5. Real data analysis
6. Discussion
References

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