Longitudinal K-sets analysis using lagged variables
PublisherInstitut d'estadística de Catalunya
Rights accessOpen Access
We present an application of nonlinear Generalised Canonical Analysis (GCA) for analysing longitudinal data. The application uses lagged versions of variables to accomodate 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.
CitationBijleveld, Catrien C. J. H.; Van der Burg, Eeke. " Longitudinal K-sets analysis using lagged variables". Qüestiió. 1993, vol.17, núm.3
ISSN0210-8054 (versió paper)