Structural Equation Modeling
( 25 Modules )

Module #1
Introduction to Structural Equation Modeling
Overview of SEM, its importance, and applications in various fields

Module #2
Key Concepts in SEM
Defining SEM, differences from traditional statistical methods, and fundamental concepts

Module #3
History and Development of SEM
Evolution of SEM, key contributors, and milestones in its development

Module #4
Applications of SEM in Various Fields
Real-world examples of SEM in social sciences, business, education, healthcare, and more

Module #5
Introduction to Latent Variables
Defining latent variables, their importance, and how they differ from observed variables

Module #6
Measurement Models
Defining measurement models, types of measurement models, and their role in SEM

Module #7
Structural Models
Defining structural models, types of structural models, and their role in SEM

Module #8
Path Analysis
Introduction to path analysis, its importance, and how it relates to SEM

Module #9
Confirmatory Factor Analysis (CFA)
Introduction to CFA, its importance, and how it relates to SEM

Module #10
Exploratory Factor Analysis (EFA)
Introduction to EFA, its importance, and how it relates to SEM

Module #11
Model Identification
Importance of model identification, types of identification, and how to achieve it

Module #12
Model Estimation
Introduction to model estimation, maximum likelihood estimation, and other methods

Module #13
Model Evaluation
Introduction to model evaluation, fit indices, and model selection

Module #14
Model Modification
Introduction to model modification, model respecification, and model trimming

Module #15
Cross-Validation and Model Generalizability
Importance of cross-validation, techniques for cross-validation, and model generalizability

Module #16
Special Topics in SEM:Mediation and Moderation
Introduction to mediation and moderation analysis in SEM

Module #17
Special Topics in SEM:Multi-Group Analysis
Introduction to multi-group analysis in SEM

Module #18
Special Topics in SEM:Longitudinal Analysis
Introduction to longitudinal analysis in SEM

Module #19
Common SEM Software Packages
Overview of popular SEM software packages such as AMOS, Mplus, and R

Module #20
Hands-on Exercise:Implementing SEM in AMOS
Practical exercise using AMOS to implement SEM

Module #21
Hands-on Exercise:Implementing SEM in Mplus
Practical exercise using Mplus to implement SEM

Module #22
Hands-on Exercise:Implementing SEM in R
Practical exercise using R to implement SEM

Module #23
Best Practices in SEM
Guidelines for conducting high-quality SEM research

Module #24
Common Pitfalls in SEM
Common mistakes to avoid when conducting SEM research

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Structural Equation Modeling career

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Structural Equation Modeling ( 25 Modules )

Structural Equation Modeling
( 25 Modules )