Structural Equation Modeling (SEM) is common craze among the researchers. Rightfully so, as it is a powerful tool, that combines t-test, ANOVA, multiple regression to produce a complex model of data structures. It is easy to learn and use. However, it can be frustrating when the model refuses to run, converge, or produce an acceptable fit.
Structural equation modeling is a statistical approach to test hypotheses that examines relationship between observed and latent variables. In this approach, theoretical framework containing linear relationship between variables are tested.
This workshop will enable you to understand the concept of SEM, its theory, skill to prepare data, construct a model with your own data, troubleshoot and interpret the goodness of fit indices and evaluate measurement and structural paths.
1.Review of Exploratory factor analysis
2. Review of linear models and its relevance in building SEM
3. Latent vs. observed variables
4. Endogenous and exogenous variables
5. Measurement vs. structural models
6. Exploratory vs. Confirmatory Factor Analysis
7. Confirmatory Factor Analysis
8. Standardized vs. unstandardized coefficients
9. Path diagrams
10. Regression vs path analysis
11. Goodness of fit
Dr. A. Ganasoundari, PhD
The workshop will be conducted by Dr. Ganasoundari, PhD. As the Founder and Managing Editor of Rehoboth Academic Services, she has over 23 years of industry experience in handling thesis from different subjects. With a PhD, numerous international publications and experience in working in the publishing industry, she is perhaps one of the best individuals to guide aspiring researchers. She conducts the following workshops regularly on Art of Thesis writing, Research Paper writing, Systematic Review, Academic Integrity, SPSS Foundation & Advanced Statistical, Jamovi, JASP, SmartPLS and Structural Equation Modeling workshops.
For more details:
Call us at +91 9731988227 / +91 9741871657.