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. However, in educational and social studies the combination of the two approaches can be particularly well-suited in view of analyzing the performance of students over time. Curran and Bollen (2004) have introduced Autoregressive Latent Trajectories (ALT) that integrate a standard LGC with autoregressive relationships between the observed variables. Starting from an application to a real data set, we show how ALT models are particularly useful in deriving a simplified solution in terms of empirical interpretation of the results, in particular in presence of nonlinear pattern of the student achievements over time.

Latent variable models for longitudinal data in educational studies / Bianconcini S.; Mignani S.. - STAMPA. - (2008), pp. 225-232. (Intervento presentato al convegno XLIV meeting of the Italian Statistical Society tenutosi a Arcavata di Rende nel 25-27 June 2008).

Latent variable models for longitudinal data in educational studies

BIANCONCINI, SILVIA;MIGNANI, STEFANIA
2008

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. However, in educational and social studies the combination of the two approaches can be particularly well-suited in view of analyzing the performance of students over time. Curran and Bollen (2004) have introduced Autoregressive Latent Trajectories (ALT) that integrate a standard LGC with autoregressive relationships between the observed variables. Starting from an application to a real data set, we show how ALT models are particularly useful in deriving a simplified solution in terms of empirical interpretation of the results, in particular in presence of nonlinear pattern of the student achievements over time.
2008
Atti della XlIV Riunione Scientifica
225
232
Latent variable models for longitudinal data in educational studies / Bianconcini S.; Mignani S.. - STAMPA. - (2008), pp. 225-232. (Intervento presentato al convegno XLIV meeting of the Italian Statistical Society tenutosi a Arcavata di Rende nel 25-27 June 2008).
Bianconcini S.; Mignani S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/64187
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