Modeling the effects of including/excluding attributes in choice experiments on systematic and random components

Islam, T; Louviere, JJ; Burke, PF

Modeling the effects of including/excluding attributes in choice experiments on systematic and random components

Islam, T Louviere, JJ Burke, PF

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Publication Type:: Journal Article
Citation:: International Journal of Research in Marketing, 2007, 24 (4), pp. 289 - 300
Issue Date:: 2007-12-01

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Field	Value	Language
dc.contributor.author	Islam, T	en_US
dc.contributor.author	Louviere, JJ	en_US
dc.contributor.author	Burke, PF https://orcid.org/0000-0003-0978-0237	en_US
dc.date.issued	2007-12-01	en_US
dc.identifier.citation	International Journal of Research in Marketing, 2007, 24 (4), pp. 289 - 300	en_US
dc.identifier.issn	0167-8116	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5403
dc.description.abstract	This paper examines the impact of attribute presence/absence in choice experiments using covariance heterogeneity models and random coefficient models. Results show that attribute presence/absence impacts both mean utility (systematic components) and choice variability (random components). Biased mean effects can occur by not accounting for choice variability. Further, even if one accounts for choice variability, attribute effects can differ because of attribute presence/absence. Managers who use choice experiments to study product changes or new variants should be cautious about excluding potentially essential attributes. Although including more relevant attributes increases choice variability, it also reduces bias. © 2007 Elsevier B.V. All rights reserved.	en_US
dc.relation.ispartof	International Journal of Research in Marketing	en_US
dc.relation.isbasedon	10.1016/j.ijresmar.2007.04.002	en_US
dc.subject.classification	Marketing	en_US
dc.title	Modeling the effects of including/excluding attributes in choice experiments on systematic and random components	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	24	en_US
utslib.for	150501 Consumer-Oriented Product or Service Development	en_US
utslib.for	1505 Marketing	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 Business/Marketing Discipline
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - BIDA - Business Intelligence and Data Analytics
pubs.organisational-group	/University of Technology Sydney/Strength - CENSOC - Study of Choice
utslib.copyright.status	open_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	24	en_US

Abstract:

This paper examines the impact of attribute presence/absence in choice experiments using covariance heterogeneity models and random coefficient models. Results show that attribute presence/absence impacts both mean utility (systematic components) and choice variability (random components). Biased mean effects can occur by not accounting for choice variability. Further, even if one accounts for choice variability, attribute effects can differ because of attribute presence/absence. Managers who use choice experiments to study product changes or new variants should be cautious about excluding potentially essential attributes. Although including more relevant attributes increases choice variability, it also reduces bias. © 2007 Elsevier B.V. All rights reserved.

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http://hdl.handle.net/10453/5403