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dc.contributor.authorVan der Burg, Eeke
dc.contributor.authorBijleveld, Catrien C. J. H.
dc.date.accessioned2008-03-18T19:27:54Z
dc.date.available2008-03-18T19:27:54Z
dc.date.issued1993
dc.identifier.citationVan der Burg, Eeke; Bijleveld, Catrien C. J. H. "Longitudinal K-sets analysis using a dummy time variable". Qüestiió. 1993, vol.17, núm.3
dc.identifier.issn0210-8054 (versió paper)
dc.identifier.urihttp://hdl.handle.net/2099/4687
dc.description.abstractWe present an application of nonlinear Generalised Canonical Analysts (GCA) for analysing longitudinal data. The application uses lagged versions of variables to accommodate the time-dependence in the measurements. The usefulness of the proposed method is illustrated in an example from developmental psychology, in which we explore the relationship between mother and child dyadic interaction during the first six months after birth, demonstrating how child behaviour can elicit mother behaviour. We discuss the relationship between our proposed method and the most closely resembling SERIALS (Van Buuren, 1990) method for nonlinear time series analysis.
dc.format.extent14 p.
dc.language.isoeng
dc.publisherInstitut d'estadística de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subject.lcshMultivariate analysis
dc.subject.otherCanonical correlation analysis
dc.subject.otherGeneralised canonical analisys
dc.subject.otherLongitudinal research
dc.subject.otherNonlinear transformations
dc.subject.otherOptimal scaling
dc.titleLongitudinal K-sets analysis using a dummy time variable
dc.title.alternativeAnálisis de K-conjuntos longitudinales empleando una variable temporal ficticia (dummy)
dc.typeArticle
dc.subject.lemacAnàlisi multivariable
dc.subject.amsClassificació AMS::62 Statistics::62H Multivariate analysis
dc.rights.accessOpen Access


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