File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A new non-randomized multi-category response model for surveys with a single sensitive question: Design and analysis

TitleA new non-randomized multi-category response model for surveys with a single sensitive question: Design and analysis
Authors
KeywordsEm Algorithm
Non-Randomized Response Models
Randomized Response Technique
Randomizing Device
Sensitive Questions
Warner's Model
Issue Date2009
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/inca/713925
Citation
Journal Of The Korean Statistical Society, 2009, v. 38 n. 4, p. 339-349 How to Cite?
AbstractIn this article, we develop a non-randomized multi-category response model for a single sensitive survey question with multiple outcomes. Unlike existing randomized response models, our proposed model does not require any randomizing device and the respondents are merely asked to answer a non-sensitive question. It thus reduces cost, ensures reproducibility of respondents' answer (i.e., the same respondent gives the same answer if the survey is re-conducted under the non-randomized multi-category model), enhances respondents' trust on the privacy policy, and motivates respondents' cooperation. We show maximum likelihood estimates (MLEs) of cell probabilities can be obtained in closed-form. Bootstrap standard errors and confidence intervals (CIs) of the cell probabilities or their functions are then given. Bayesian estimation via the data augmentation algorithm is developed when prior information on the parameters of interest is available. Simulation studies are conducted to evaluate the performance of the MLEs and CI estimates. A real data set from a questionnaire on sexual activities in Korean adolescents is used to illustrate the proposed design and analysis methods. © 2009 The Korean Statistical Society.
Persistent Identifierhttp://hdl.handle.net/10722/172465
ISSN
2015 Impact Factor: 0.353
2015 SCImago Journal Rankings: 0.392
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorTang, MLen_US
dc.contributor.authorTian, GLen_US
dc.contributor.authorTang, NSen_US
dc.contributor.authorLiu, Zen_US
dc.date.accessioned2012-10-30T06:22:40Z-
dc.date.available2012-10-30T06:22:40Z-
dc.date.issued2009en_US
dc.identifier.citationJournal Of The Korean Statistical Society, 2009, v. 38 n. 4, p. 339-349en_US
dc.identifier.issn1226-3192en_US
dc.identifier.urihttp://hdl.handle.net/10722/172465-
dc.description.abstractIn this article, we develop a non-randomized multi-category response model for a single sensitive survey question with multiple outcomes. Unlike existing randomized response models, our proposed model does not require any randomizing device and the respondents are merely asked to answer a non-sensitive question. It thus reduces cost, ensures reproducibility of respondents' answer (i.e., the same respondent gives the same answer if the survey is re-conducted under the non-randomized multi-category model), enhances respondents' trust on the privacy policy, and motivates respondents' cooperation. We show maximum likelihood estimates (MLEs) of cell probabilities can be obtained in closed-form. Bootstrap standard errors and confidence intervals (CIs) of the cell probabilities or their functions are then given. Bayesian estimation via the data augmentation algorithm is developed when prior information on the parameters of interest is available. Simulation studies are conducted to evaluate the performance of the MLEs and CI estimates. A real data set from a questionnaire on sexual activities in Korean adolescents is used to illustrate the proposed design and analysis methods. © 2009 The Korean Statistical Society.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/inca/713925en_US
dc.relation.ispartofJournal of the Korean Statistical Societyen_US
dc.subjectEm Algorithmen_US
dc.subjectNon-Randomized Response Modelsen_US
dc.subjectRandomized Response Techniqueen_US
dc.subjectRandomizing Deviceen_US
dc.subjectSensitive Questionsen_US
dc.subjectWarner's Modelen_US
dc.titleA new non-randomized multi-category response model for surveys with a single sensitive question: Design and analysisen_US
dc.typeArticleen_US
dc.identifier.emailTian, GL: gltian@hku.hken_US
dc.identifier.authorityTian, GL=rp00789en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.jkss.2008.12.004en_US
dc.identifier.scopuseid_2-s2.0-70349906961en_US
dc.identifier.hkuros170615-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70349906961&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume38en_US
dc.identifier.issue4en_US
dc.identifier.spage339en_US
dc.identifier.epage349en_US
dc.identifier.isiWOS:000271773800004-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridTang, ML=7401974011en_US
dc.identifier.scopusauthoridTian, GL=25621549400en_US
dc.identifier.scopusauthoridTang, NS=9636066900en_US
dc.identifier.scopusauthoridLiu, Z=15846022400en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats