Although there is a variety of statistical methods available for the analysis of longitudinal panel data, two approaches are of particular historical importance: the autoregressive (simplex) model and the latent trajectory (curve) model. Curran and Bollen (2004) have introduced Autoregressive Latent Trajectories (ALT) that integrate a standard growth curve with autoregressive relationships between the observed variables. The present paper discusses, via a simulation study, the properties of this approach, with the aim of deriving the relationship between nonlinearity and nonstationary in latent growth models.
Relating nonlinearity to nonstationarity in latent growth models / Bianconcini S.; Mignani S.. - ELETTRONICO. - (2009), pp. 482-487. (Intervento presentato al convegno 6th St. Petersburg workshop on simulation tenutosi a St. Petersburg nel 28 June - 4 July 2009).
Relating nonlinearity to nonstationarity in latent growth models
BIANCONCINI, SILVIA;MIGNANI, STEFANIA
2009
Abstract
Although there is a variety of statistical methods available for the analysis of longitudinal panel data, two approaches are of particular historical importance: the autoregressive (simplex) model and the latent trajectory (curve) model. Curran and Bollen (2004) have introduced Autoregressive Latent Trajectories (ALT) that integrate a standard growth curve with autoregressive relationships between the observed variables. The present paper discusses, via a simulation study, the properties of this approach, with the aim of deriving the relationship between nonlinearity and nonstationary in latent growth models.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
