Longitudinal K-sets analysis using a dummy time variable

Autor:	Van der Burg, Eeke, Bijleveld, Catrien C. J. H.
Jazyk:	angličtina
Rok vydání:	1993
Předmět:	Multivariate analysis Canonical correlation analysis Nonlinear transformations Longitudinal research Anàlisi multivariable Optimal scaling 62 Statistics::62H Multivariate analysis [Classificació AMS] Generalised canonical analisys
Zdroj:	UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC)
Popis:	We 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f2184d83170844776a67f67f6a5d808b http://hdl.handle.net/2099/4687 Zobrazit plný text záznamu