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Article: Two new models for survey sampling with sensitive characteristic: Design and analysis

TitleTwo new models for survey sampling with sensitive characteristic: Design and analysis
Authors
KeywordsMaximum likelihood estimate
Randomized response technique
Randomizing device
Sensitive questions
Warner's model
Issue Date2008
PublisherPhysica-Verlag GmbH und Co. The Journal's web site is located at http://link.springer.de/link/service/journals/00184/index.htm
Citation
Metrika, 2008, v. 67 n. 3, p. 251-263 How to Cite?
AbstractSensitive topics or highly personal questions are often being asked in medical, psychological and sociological surveys. This paper proposes two new models (namely, the triangular and crosswise models) for survey sampling with the sensitive characteristics. We derive the maximum likelihood estimates (MLEs) and large-sample confidence intervals for the proportion of persons with sensitive characteristic. The modified MLEs and their asymptotic properties are developed. Under certain optimality criteria, the designs for the cooperative parameter are provided and the sample size formulas are given. We compare the efficiency of the two models based on the variance criterion. The proposed models have four advantages: neither model requires randomizing device, the models are easy to be implemented for both interviewer and interviewee, the interviewee does not face any sensitive questions, and both models can be applied to both face-to-face personal interviews and mail questionnaires. © 2007 Springer-Verlag.
Persistent Identifierhttp://hdl.handle.net/10722/59860
ISSN
2015 Impact Factor: 0.595
2015 SCImago Journal Rankings: 0.605
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYu, JWen_HK
dc.contributor.authorTian, GLen_HK
dc.contributor.authorTang, MLen_HK
dc.date.accessioned2010-05-31T03:58:57Z-
dc.date.available2010-05-31T03:58:57Z-
dc.date.issued2008en_HK
dc.identifier.citationMetrika, 2008, v. 67 n. 3, p. 251-263en_HK
dc.identifier.issn0026-1335en_HK
dc.identifier.urihttp://hdl.handle.net/10722/59860-
dc.description.abstractSensitive topics or highly personal questions are often being asked in medical, psychological and sociological surveys. This paper proposes two new models (namely, the triangular and crosswise models) for survey sampling with the sensitive characteristics. We derive the maximum likelihood estimates (MLEs) and large-sample confidence intervals for the proportion of persons with sensitive characteristic. The modified MLEs and their asymptotic properties are developed. Under certain optimality criteria, the designs for the cooperative parameter are provided and the sample size formulas are given. We compare the efficiency of the two models based on the variance criterion. The proposed models have four advantages: neither model requires randomizing device, the models are easy to be implemented for both interviewer and interviewee, the interviewee does not face any sensitive questions, and both models can be applied to both face-to-face personal interviews and mail questionnaires. © 2007 Springer-Verlag.en_HK
dc.languageengen_HK
dc.publisherPhysica-Verlag GmbH und Co. The Journal's web site is located at http://link.springer.de/link/service/journals/00184/index.htmen_HK
dc.relation.ispartofMetrikaen_HK
dc.subjectMaximum likelihood estimateen_HK
dc.subjectRandomized response techniqueen_HK
dc.subjectRandomizing deviceen_HK
dc.subjectSensitive questionsen_HK
dc.subjectWarner's modelen_HK
dc.titleTwo new models for survey sampling with sensitive characteristic: Design and analysisen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0026-1335&volume= 67&issue=3&spage=251&epage=263&date=2008&atitle=Two+New+Models+for+Survey+Sampling+with+Sensitive+Characteristic:+Design+and+Analysisen_HK
dc.identifier.emailTian, GL: gltian@hku.hken_HK
dc.identifier.authorityTian, GL=rp00789en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s00184-007-0131-xen_HK
dc.identifier.scopuseid_2-s2.0-41049093792en_HK
dc.identifier.hkuros163561en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-41049093792&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume67en_HK
dc.identifier.issue3en_HK
dc.identifier.spage251en_HK
dc.identifier.epage263en_HK
dc.identifier.isiWOS:000254204100001-
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridYu, JW=16204381100en_HK
dc.identifier.scopusauthoridTian, GL=25621549400en_HK
dc.identifier.scopusauthoridTang, ML=7401974011en_HK
dc.identifier.citeulike2772622-

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