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Longitudinal Research with Latent Variables

E-BookPDF1 - PDF WatermarkE-Book
301 Seiten
Englisch
Springer Berlin Heidelbergerschienen am17.05.20102010
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. Indeed, the central va- ables that social and behavioural theories deal with, can hardly ever be identi?ed as observed variables. Statistical modelling has to take account of measurement - rors and invalidities in the observed variables and so address the underlying latent variables. Moreover, during the past decades it has been widely agreed on that serious causal modelling should be based on longitudinal data. It is especially in the ?eld of longitudinal research and analysis, including panel research, that progress has been made in recent years. Many comprehensive panel data sets as, for example, on human development and voting behaviour have become available for analysis. The number of publications based on longitudinal data has increased immensely. Papers with causal claims based on cross-sectional data only experience rejection just for that reason.mehr
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Produkt

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. Indeed, the central va- ables that social and behavioural theories deal with, can hardly ever be identi?ed as observed variables. Statistical modelling has to take account of measurement - rors and invalidities in the observed variables and so address the underlying latent variables. Moreover, during the past decades it has been widely agreed on that serious causal modelling should be based on longitudinal data. It is especially in the ?eld of longitudinal research and analysis, including panel research, that progress has been made in recent years. Many comprehensive panel data sets as, for example, on human development and voting behaviour have become available for analysis. The number of publications based on longitudinal data has increased immensely. Papers with causal claims based on cross-sectional data only experience rejection just for that reason.
Details
Weitere ISBN/GTIN9783642117602
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2010
Erscheinungsdatum17.05.2010
Auflage2010
Seiten301 Seiten
SpracheEnglisch
IllustrationenXI, 301 p.
Artikel-Nr.1717216
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
1;Longitudinal Research with Latent Variables;4
2;Preface;6
3;Contents;8
4;List of Contributors;10
5;1 Loglinear Latent Variable Models for Longitudinal Categorical Data;13
6;2 Random Effects Models for Longitudinal Data;49
7;3 Multivariate and Multilevel Longitudinal Analysis;109
8;4 Longitudinal Research Using Mixture Models;130
9;5 An Overview of the Autoregressive Latent Trajectory (ALT) Model;164
10;6 State Space Methods for Latent Trajectory and Parameter Estimation by Maximum Likelihood;188
11;7 Continuous Time Modeling of Panel Data by means of SEM;211
12;8 Five Steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data;255
13;9 Structural Interdependence and Unobserved Heterogeneity in Event History Analysis;284mehr

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