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 ...

introduction to basic concepts, principles, and applications of structural equation modeling including path analysis, confirmatory latent variable models, multiple-group modeling, and latent growth ...

This course is an introduction to structural equation modeling (SEM). SEM represents a general approach to the statistical examination of the fit of a theoretical model to empirical data. Topics ...

This repository contains the course materials for the one day training course 'An Introduction to Structural Equation Modelling Using R', for postgraduate research students and research professionals.

ABSTRACT: The role of school principals in shaping effective learning environments and supporting positive student outcomes has gained increasing recognition in educational research and policy. This ...

1 School of Arts and Media, Qingdao Hengxing University of Science and Technology, Qingdao, China 2 Faculty of Education and Sport Studies, University Malaysia Sabah, Kota Kinabalu, Malaysia It is ...

Introduction: Artificial Intelligence (AI) literacy, defined as the knowledge and ability to recognize, apply, and evaluate AI, is a key driving force of digital transformation and technological ...