Advanced Techniques in Structural Equation Modeling
( 24 Modules )

Module #1
Introduction to Advanced SEM
Overview of the course, importance of advanced SEM techniques, and review of fundamental SEM concepts

Module #2
Modeling Non-Normal Data
Techniques for dealing with non-normal data in SEM, including transformations, robust estimators, and bootstrapping

Module #3
Handling Missing Data in SEM
Methods for handling missing data in SEM, including listwise deletion, pairwise deletion, and multiple imputation

Module #4
Modeling Non-recursive Relationships
Advanced techniques for modeling non-recursive relationships, including non-recursive models and generalized SEM

Module #5
Testing Mediation and Moderation
Advanced techniques for testing mediation and moderation in SEM, including bootstrapping and Bayesian methods

Module #6
Modeling Multigroup Data
Techniques for modeling multigroup data in SEM, including multiple group analysis and measurement invariance testing

Module #7
Bayesian SEM
Introduction to Bayesian SEM, including Bayesian estimation and model comparison

Module #8
Bayesian Model Averaging
Advanced Bayesian SEM techniques, including Bayesian model averaging and Bayesian variable selection

Module #9
SEM with Complex Survey Data
Techniques for analyzing complex survey data in SEM, including survey weights and clustered data

Module #10
SEM with Longitudinal Data
Advanced techniques for analyzing longitudinal data in SEM, including growth curve models and latent growth curve models

Module #11
SEM with Multilevel Data
Techniques for analyzing multilevel data in SEM, including multilevel modeling and cross-classified models

Module #12
Modeling Count and Censored Data
Advanced techniques for modeling count and censored data in SEM, including Poisson regression and Tobit models

Module #13
SEM with Non-linear Relationships
Techniques for modeling non-linear relationships in SEM, including polynomial and spline models

Module #14
Modeling Heterogeneity in SEM
Advanced techniques for modeling heterogeneity in SEM, including finite mixture models and latent class analysis

Module #15
SEM with Machine Learning Algorithms
Introduction to using machine learning algorithms in SEM, including neural networks and decision trees

Module #16
SEM with Natural Language Processing
Advanced techniques for analyzing text data in SEM, including topic modeling and sentiment analysis

Module #17
SEM with Spatial Data
Techniques for analyzing spatial data in SEM, including spatial autocorrelation and spatial regression

Module #18
SEM with Network Data
Advanced techniques for analyzing network data in SEM, including social network analysis and exponential random graph models

Module #19
SEM with High-Dimensional Data
Techniques for analyzing high-dimensional data in SEM, including dimension reduction and regularization

Module #20
SEM with Small Sample Sizes
Advanced techniques for analyzing small sample sizes in SEM, including bias correction and bootstrapping

Module #21
SEM Model Fit and Evaluation
Advanced techniques for evaluating SEM model fit, including cross-validation and predictive model selection

Module #22
SEM Model Identification and Equivalence
Advanced topics in SEM model identification and equivalence, including model equivalence testing and identification strategies

Module #23
SEM Software and Programming
Overview of SEM software and programming, including Mplus, R, and Python

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Advanced Techniques in Structural Equation Modeling career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Advanced Techniques in Structural Equation Modeling ( 24 Modules )

Advanced Techniques in Structural Equation Modeling
( 24 Modules )