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 ...

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 ...

modsem is an R-package for estimating interaction (i.e., moderation) effects between latent variables in structural equation models (SEMs), based on the lavaan syntax ...

Latent factors are variables that cannot be observed directly but can be inferred from a set of observable variables. For example, in psychology, bad conduct (latent factor) can be measured by how ...

This repository serves as platform for the seminar “Using Conditional Process Analysis to evaluate communication theories”, a B.A. Seminar at the IKMZ (University of Zurich, FS2022). You can find all ...