Measuring values using best-worst scaling: The LOV example

Lee, JA; Soutar, G; Louviere, JJ

Measuring values using best-worst scaling: The LOV example

Lee, JA Soutar, G Louviere, JJ

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Publisher:: John Wiley & Sons Inc
Publication Type:: Journal Article
Citation:: Psychology & Marketing, 2007, 24 (12), pp. 1043 - 1058
Issue Date:: 2007-01

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Field	Value	Language
dc.contributor.author	Lee, JA	en_US
dc.contributor.author	Soutar, G	en_US
dc.contributor.author	Louviere, JJ	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	Psychology & Marketing, 2007, 24 (12), pp. 1043 - 1058	en_US
dc.identifier.issn	0742-6046	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5545
dc.description.abstract	The paper discusses the way that values have been measured and suggests an alternative way to collect values data. A recently developed approach, termed Best Worst Scaling, developed by Louviere and his colleagues, offers an opportunity to collect such d	en_US
dc.publisher	John Wiley & Sons Inc	en_US
dc.relation.ispartof	Psychology & Marketing	en_US
dc.relation.isbasedon	10.1002/mar.20197	en_US
dc.subject.classification	Marketing	en_US
dc.title	Measuring values using best-worst scaling: The LOV example	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	24	en_US
utslib.location.activity	ISI:000250946700002	en_US
utslib.for	1505 Marketing	en_US
utslib.for	15 Commerce, Management, Tourism and Services	en_US
utslib.for	17 Psychology and Cognitive Sciences	en_US
dc.location.activity	ISI:000250946700002	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/Strength - CENSOC - Study of Choice
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.issue	12	en_US
pubs.volume	24	en_US

Abstract:

The paper discusses the way that values have been measured and suggests an alternative way to collect values data. A recently developed approach, termed Best Worst Scaling, developed by Louviere and his colleagues, offers an opportunity to collect such d

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http://hdl.handle.net/10453/5545