Longitudinal Research with Latent Variables

Longitudinal Research with Latent Variables

4.11 - 1251 ratings - Source

Since Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk Iˆ 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.The use of latent class models for defining and testing non-parametric and parametric item response theory models. Applied Psychological ... Growth models for categorical response variables: Standard, latent-class, and hybrid approaches. In K. van Montfort, J. Oud, aamp; A. ... Vermunt, J. K., aamp; Magidson, J. ( 2008). LG-syntax usera#39;s guide: Manual for Latent GOLD 4.5 syntax module. Belmont, MA: Statisticalanbsp;...

Title:Longitudinal Research with Latent Variables
Author:Kees van Montfort, Johan H.L. Oud, Albert Satorra
Publisher:Springer Science & Business Media - 2010-05-17


You Must CONTINUE and create a free account to access unlimited downloads & streaming