Structural Equation Modeling (SEM) is a statistical technique that allows researchers to examine complex relationships between observed and latent variables. In the context of, for example, ...

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 ...

Gene expression is controlled by multiple regulators and their interactions. Data from genome-wide gene expression assays can be used to estimate molecular activities of regulators within a model ...

Department of Mathematics, Science and Technology Education, Faculty of Education, University of Zululand, KwaDlangezwa, South Africa Introduction: Mathematics achievement is the level of knowledge, ...

The Bayesian structural equation model integrates the principles of Bayesian statistics, providing a more flexible and comprehensive modeling framework. In exploring complex relationships between ...

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 ...