A note on the dual scaling of dominance data and its relationship to correspondence analysis
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- dc.contributor.author Greenacre, Michael
- dc.contributor.author Torres, Anna
- dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
- dc.date.accessioned 2020-05-25T09:26:46Z
- dc.date.available 2020-05-25T09:26:46Z
- dc.date.issued 1999-12-01
- dc.date.modified 2020-05-25T09:18:22Z
- dc.description.abstract Dual scaling of a subjects-by-objects table of dominance data (preferences, paired comparisons and successive categories data) has been contrasted with correspondence analysis, as if the two techniques were somehow different. In this note we show that dual scaling of dominance data is equivalent to the correspondence analysis of a table which is doubled with respect to subjects. We also show that the results of both methods can be recovered from a principal components analysis of the undoubled dominance table which is centred with respect to subject means.
- dc.format.mimetype application/pdf*
- dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=430
- dc.identifier.citation International Journal for Research in Marketing, 19, pp. 401-05, 2002
- dc.identifier.uri http://hdl.handle.net/10230/1060
- dc.language.iso eng
- dc.relation.ispartofseries Economics and Business Working Papers Series; 430
- dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
- dc.subject.keyword correspondence analysis
- dc.subject.keyword dominance data
- dc.subject.keyword dual scaling
- dc.subject.keyword paired comparisons
- dc.subject.keyword preferences
- dc.subject.keyword principal component analysis
- dc.subject.keyword ratings
- dc.subject.keyword Statistics, Econometrics and Quantitative Methods
- dc.title A note on the dual scaling of dominance data and its relationship to correspondence analysis
- dc.type info:eu-repo/semantics/workingPaper