The importance of indirect effects in media effects research: testing for mediation in structural equation modeling. Journal of Broadcasting and Electronic Media, 47, 556–572. Holland, P. (1986).

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: ...

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 ...

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 ...