Latent growth models have been widely applied to univariate longitudinal data. In this work we extend these models to deal with multidimensional continuous measures by combining the classical factor analysis and the latent curve approach. A full maximum likelihood estimation is used to get parameter estimates.
Multivariate latent growth models for continuous repeated measures / Bianconcini S.; Cagnone S.. - STAMPA. - (2008), pp. 181-184. (Intervento presentato al convegno First Joint meeting of the societe francophone de classification and the classification and data analysis group of the Italian statistical society. tenutosi a Caserta, Italy. nel 11-13 June 2008).
Multivariate latent growth models for continuous repeated measures
BIANCONCINI, SILVIA;CAGNONE, SILVIA
2008
Abstract
Latent growth models have been widely applied to univariate longitudinal data. In this work we extend these models to deal with multidimensional continuous measures by combining the classical factor analysis and the latent curve approach. A full maximum likelihood estimation is used to get parameter estimates.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
