Longitudinal Research with Latent Variables

von

Herausgegeben:van Montfort, KeesOud, Johan H.L.Satorra, Albert

BuchGebunden

301 Seiten

Englisch

Springererschienen am25.05.2010

Since Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk ¨ og replaced the observed variables in an econometric structural equation model by latent factors in 1970, causal modelling by means of latent variables has become the standard in the social and behavioural sciences.mehr

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KlappentextSince Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk ¨ og replaced the observed variables in an econometric structural equation model by latent factors in 1970, causal modelling by means of latent variables has become the standard in the social and behavioural sciences.

Details

ISBN/GTIN978-3-642-11759-6

ProduktartBuch

EinbandartGebunden

Verlag

Springer

Erscheinungsjahr2010

Erscheinungsdatum25.05.2010

Seiten301 Seiten

SpracheEnglisch

Gewicht604 g

IllustrationenXI, 301 p.

Artikel-Nr.11287714

Rubriken

GenreNaturwissenschaft/Umwelt/Technik

Inhalt/Kritik

Inhaltsverzeichnis

Loglinear Latent Variable Models for Longitudinal Categorical Data.- Random Effects Models for Longitudinal Data.- Multivariate and Multilevel Longitudinal Analysis.- Longitudinal Research Using Mixture Models.- An Overview of the Autoregressive Latent Trajectory (ALT) Model.- State Space Methods for Latent Trajectory and Parameter Estimation by Maximum Likelihood.- Continuous Time Modeling of Panel Data by means of SEM.- Five Steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data.- Structural Interdependence and Unobserved Heterogeneity in Event History Analysis.mehr

Kritik

From the reviews:
"In this volume the 19 contributors presents 9 papers which combine longitudinal and latent variable research. ... The book addresses the great majority of researchers in the behavioural and related sciences, in academic as well as non-academic environments. It also addresses methodologists and statisticians, who are professionally dealing with longitudinal research, to provide standards for state of the art practices, and is very useful for PhD students in mathematical statistics or in biostatistics." (T. Postelnicu, Zentralblatt MATH, Vol. 1210, 2011)mehr