Structural equation modeling (SEM) with lavaan

🎓 Course Title: Structural Equation Modeling (SEM) with lavaan

Course Headline:

"Master SEM with R's lavaan: From Specification to Interpretation – Absolutely Free!"

Unlock the Power of SEM with R!

Course Description:

Are you ready to dive deep into the world of Structural Equation Modeling (SEM) and emerge as a expert in analyzing complex data using latent variables? Look no further! This comprehensive, hands-on course, led by Dr. Geoffrey Hubona, will equip you with the skills to master SEM modeling with the powerful R software package, lavaan.

Why Choose lavaan for SEM? 🔍

• Flexibility: lavaan is designed to handle a wide range of latent variable models, from confirmatory factor analysis (CFA) to advanced multilevel and longitudinal models.
• Accuracy: With precise parameter estimates, you can trust the results you obtain.
• Accessibility: As an open-source package, lavaan is free to use and widely accessible to researchers and students around the globe.
• Community Supported: Part of a large community of SEM practitioners and researchers who contribute to its continuous development and improvement.

What You Will Learn:

🚀 Specifying a SEM Model: Dive into lavaan syntax and learn how to articulate your theoretical model clearly and concisely.

🔍 Model Estimation and Evaluation: Fit your models, assess their fit, and understand the implications of each step.

✏️ Performing Confirmatory Factor Analysis (CFA): Conduct CFA to test your hypotheses about latent constructs.

📊 Dealing with Missing Data: Master techniques for handling missing data through imputation and replacement methods.

🤝 Analyzing Indirect Effects: Explore the mechanisms underlying your variables by estimating mediating and other indirect effects.

🌐 Multigroup SEM Models: Establish measurement invariance across groups to compare SEM models across different populations.

📈 Latent (Growth) Curve Modeling: Learn to model latent growth curves, including random intercepts and slopes for dynamic data analysis.

Your Instructor:

Dr. Geoffrey Hubona is not just an educator; he's a seasoned researcher with a Ph.D. in Psychology and expertise in SEM. His passion for teaching and his deep understanding of the lavaan package make him the perfect guide on your journey to mastering SEM.

Course Outline:

1. Introduction to SEM and lavaan: Understanding the framework and capabilities of SEM, along with setting up R and RStudio for analysis.

2. lavaan Syntax: How to translate your research questions into lavaan syntax for model specification.

3. Model Fitting and Evaluation: Learning to fit models, interpret output, and evaluate the quality of fit using various fit indices.

4. Confirmatory Factor Analysis (CFA): Testing hypotheses about latent constructs and interpreting the results.

5. Dealing with Missing Data: Applying advanced techniques to handle missing data in your datasets.

6. Indirect Effects: Estimating mediating and other indirect effects to understand causal processes.

7. Multigroup SEM Models: Establishing measurement invariance across different groups or populations.

8. Latent Curve Modeling: Modeling latent growth curves and understanding the dynamics of change over time.

By the end of this course, you will not only have a solid understanding of SEM but also be able to apply these sophisticated models to your own research using R's lavaan package. Join us on this journey to become an SEM expert! 🎓✨