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dc.contributor.authorTomic, Oliver
dc.contributor.authorBerget, Ingunn
dc.contributor.authorNæs, Tormod
dc.date.accessioned2018-04-18T12:06:19Z
dc.date.available2018-04-18T12:06:19Z
dc.date.created2015-03-16T18:37:10Z
dc.date.issued2015
dc.identifier.citationFood Quality and Preference. 2015, 43 34-46.
dc.identifier.issn0950-3293
dc.identifier.urihttp://hdl.handle.net/11250/2494810
dc.description.abstractGeneralised procrustes analysis and multiple factor analysis are multivariate statistical methods that belong to the family of multiblock methods. Both methods are often used for analysis of data from projective mapping (a.k.a. Napping). In this study, generalised procrustes analysis and multiple factor analysis are compared for a number of simulated and real data sets. The type of data used in this study were (I) random data from Monte Carlo simulations; (II) constructed data that were manipulated according to some specific criteria; (III) real data from nine Napping experiments. Focus will be on similarities of the consensus solutions. In addition we considered interpretation of the RV coefficient and individual differences between assessors.
dc.language.isoeng
dc.titleA comparison of generalised procrustes analysis and multiple factor analysis for projective mapping data
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionacceptedVersion
dc.source.pagenumber34-46
dc.source.volume43
dc.source.journalFood Quality and Preference
dc.identifier.doi10.1016/j.foodqual.2015.02.004
dc.identifier.cristin1232364
dc.relation.projectNofima AS: 201308
dc.relation.projectNorges forskningsråd: 225096
dc.relation.projectNorges forskningsråd: 225062
dc.relation.projectNofima AS: 201302
dc.relation.projectNofima AS: 10841
dc.relation.projectNorges forskningsråd: 233684
cristin.unitcode7502,7,3,2
cristin.unitnameKvalitetsmåling
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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