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This course teaches Structural Equation Modeling based on Partial Least Squares (SEM-PLS) with SmartPLS, from data input, measurement model evaluation, to bootstrapping for research hypothesis testing.
Concepts of latent variables, indicators, and structural models.
Convergent & discriminant validity tests, construct reliability.
R-square, path significance test, effect size.
Hypothesis testing and how to present results for research reports.
We also accept project execution services SmartPLS for thesis, final projects, and professional needs.
View Services SmartPLSYes, the class starts from the basic concepts of latent variables and structural models before moving into software practice.
SmartPLS is more suitable for complex research models with many latent variables and relatively small samples.
Yes, after completing the final analysis case study.
Consult your learning goals, we'll help you choose the most suitable class based on your level and needs.
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