2015/04/14 by Hashem Salarzadeh Jenatabadi, Jenatabadi, Hashem Salarzadeh · 9 citations
Business, Management and Accounting · Decision Sciences · Mathematics · #Computer science #Job Satisfaction and Organizational Behavior #Machine learning #Organizational Leadership and Management Strategies #Structural equation modeling #Technology Adoption and User Behaviour #stat.ME
paper · pdf · doi:10.48550/arxiv.1504.03430
published in arXiv (Cornell University) (Cornell University) · 7 pages and 1 chart
arxiv created 2015/04/14 · openalex publication_date 2015/04/14 · arxiv updated 2015/04/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper provides a tutorial discussion on analyzing structural equation modelling (SEM). SEM can be regarded as regression models with observed and unobserved indicators, have been extensively applied to practical and fundamental studies. We deliver an introduction to SEM method and a detailed description of how to deal with analyzing the data with this kind of modelling. The intended audience is statisticians/mathematicians/methodologists who either know about SEM or simple basic statistics especially in regression and linear/nonlinear modeling, and Ph.D. students in statistics, mathematics, management, psychology, and even computer science.