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 ...

This repository provides a comprehensive implementation of Structural Equation Modeling (SEM) using Python and the semopy library. SEM is a statistical technique that combines factor analysis and path ...

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 ...

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 ...

1 Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium 2 Department of Methodology and Statistics, Tilburg University, Tilburg, Netherlands Structural equation modeling (SEM) ...

1. Data preprocessing (mapping categorical variables, normalizing, and handling NaNs). 2. Covariance matrix computation and positive definiteness adjustment. 3. SEM model definition and evaluation.