Course TopicsStructural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis ...

Course TopicsStructural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis ...

Structural Equation Modeling with Ordinal Variables. Karl G. Jöreskog. Lecture Notes-Monograph Series. Vol. 24, Multivariate Analysis and Its Applications (1994), pp. 297-310 (14 pages) Published By: ...

In other words, the relationships between "true score" latent variables was considered under a range of assumed values of reliability. The results indicate that the amount of measurement error, as ...

We propose an empirical framework, spurred by recent developments in the implementation of generalized structural equation modeling ... We illustrate how GSEM techniques can significantly enhance ...

Regulators need a method that is versatile, is easy to use and can handle complex path models with latent (not directly observable) variables. In a first application of partial least squares ...