File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.jkss.2013.08.002
- Scopus: eid_2-s2.0-84884255817
- WOS: WOS:000335281700007
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Sample size determination for the parallel model in a survey with sensitive questions
Title | Sample size determination for the parallel model in a survey with sensitive questions |
---|---|
Authors | |
Keywords | Crosswise model Non-randomized response technique Parallel model Power function Sample size formula Triangular model |
Issue Date | 2014 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/inca/713925 |
Citation | Journal of the Korean Statistical Society, 2014, v. 43 n. 2, p. 235-249 How to Cite? |
Abstract | Recently, a new non-randomized parallel design is proposed by Tian (2013) for surveys with sensitive topics. However, the sample size formulae associated with testing hypotheses for the parallel model are not yet available. As a crucial component in surveys, the sample size formulae with the parallel design are developed in this paper by using the power analysis method for both the one- and two-sample problems. We consider both the one- and two-sample problems. The asymptotic power functions and the corresponding sample size formulae for both the one- and two-sided tests based on the large-sample normal approximation are derived. The performance is assessed through comparing the asymptotic power with the exact power and reporting the ratio of the sample sizes with the parallel model and the design of direct questioning. We numerically compare the sample sizes needed for the parallel design with those required for the crosswise and triangular models. Two theoretical justifications are also provided. An example from a survey on ‘sexual practices’ in San Francisco, Las Vegas and Portland is used to illustrate the proposed methods. |
Persistent Identifier | http://hdl.handle.net/10722/203428 |
ISSN | 2023 Impact Factor: 0.6 2023 SCImago Journal Rankings: 0.423 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liu, Y | en_US |
dc.contributor.author | Tian, GL | en_US |
dc.date.accessioned | 2014-09-19T15:10:27Z | - |
dc.date.available | 2014-09-19T15:10:27Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | Journal of the Korean Statistical Society, 2014, v. 43 n. 2, p. 235-249 | en_US |
dc.identifier.issn | 1226-3192 | - |
dc.identifier.uri | http://hdl.handle.net/10722/203428 | - |
dc.description.abstract | Recently, a new non-randomized parallel design is proposed by Tian (2013) for surveys with sensitive topics. However, the sample size formulae associated with testing hypotheses for the parallel model are not yet available. As a crucial component in surveys, the sample size formulae with the parallel design are developed in this paper by using the power analysis method for both the one- and two-sample problems. We consider both the one- and two-sample problems. The asymptotic power functions and the corresponding sample size formulae for both the one- and two-sided tests based on the large-sample normal approximation are derived. The performance is assessed through comparing the asymptotic power with the exact power and reporting the ratio of the sample sizes with the parallel model and the design of direct questioning. We numerically compare the sample sizes needed for the parallel design with those required for the crosswise and triangular models. Two theoretical justifications are also provided. An example from a survey on ‘sexual practices’ in San Francisco, Las Vegas and Portland is used to illustrate the proposed methods. | - |
dc.language | eng | en_US |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/inca/713925 | en_US |
dc.relation.ispartof | Journal of the Korean Statistical Society | en_US |
dc.rights | NOTICE: this is the author’s version of a work that was accepted for publication in Journal of the Korean Statistical Society. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of the Korean Statistical Society, 2014, v. 43 n. 2, p. 235-249. DOI: 10.1016/j.jkss.2013.08.002 | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Crosswise model | - |
dc.subject | Non-randomized response technique | - |
dc.subject | Parallel model | - |
dc.subject | Power function | - |
dc.subject | Sample size formula | - |
dc.subject | Triangular model | - |
dc.title | Sample size determination for the parallel model in a survey with sensitive questions | en_US |
dc.type | Article | en_US |
dc.identifier.email | Tian, GL: gltian@hku.hk | en_US |
dc.identifier.authority | Tian, GL=rp00789 | en_US |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1016/j.jkss.2013.08.002 | en_US |
dc.identifier.scopus | eid_2-s2.0-84884255817 | - |
dc.identifier.hkuros | 238569 | en_US |
dc.identifier.volume | 43 | en_US |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 235 | en_US |
dc.identifier.epage | 249 | en_US |
dc.identifier.isi | WOS:000335281700007 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 1226-3192 | - |