R is a powerful open source programming environment primarily known for its statistical capabilities. In this course we will cover some advanced applications of R: distributed computing using the ...

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

Partial least squares structural equation modeling (PLS-SEM) has emerged as a versatile multivariate technique for estimating complex cause-and-effect relationship models, especially when theoretical ...