The use of balanced incomplete block designs in designing randomized response surveys

Smith, NF; Street, DJ

The use of balanced incomplete block designs in designing randomized response surveys

Smith, NF Street, DJ

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Publication Type:: Journal Article
Citation:: Australian and New Zealand Journal of Statistics, 2003, 45 (2), pp. 181 - 194
Issue Date:: 2003-01-01

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Field	Value	Language
dc.contributor.author	Smith, NF	en_US
dc.contributor.author	Street, DJ https://orcid.org/0000-0002-4476-0656	en_US
dc.date.issued	2003-01-01	en_US
dc.identifier.citation	Australian and New Zealand Journal of Statistics, 2003, 45 (2), pp. 181 - 194	en_US
dc.identifier.issn	1369-1473	en_US
dc.identifier.uri	http://hdl.handle.net/10453/3412
dc.description.abstract	This paper investigates the block total response method proposed by Raghavarao and Federer for providing accurate estimates of the base rates of sensitive characteristics during surveys. It determines the best balanced incomplete block design to use to estimate the base rates for three, four, five and six sensitive attributes respectively, given a maximum total number of 13 questions. The estimates obtained from this method have smaller variance than estimates obtained using the similar, but more popular, unmatched count technique.	en_US
dc.relation.ispartof	Australian and New Zealand Journal of Statistics	en_US
dc.relation.isbasedon	10.1111/1467-842X.00274	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	The use of balanced incomplete block designs in designing randomized response surveys	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	45	en_US
utslib.for	0104 Statistics	en_US
utslib.for	1403 Econometrics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	45	en_US

Abstract:

This paper investigates the block total response method proposed by Raghavarao and Federer for providing accurate estimates of the base rates of sensitive characteristics during surveys. It determines the best balanced incomplete block design to use to estimate the base rates for three, four, five and six sensitive attributes respectively, given a maximum total number of 13 questions. The estimates obtained from this method have smaller variance than estimates obtained using the similar, but more popular, unmatched count technique.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/3412