Multilevel SEM Modeling with xxM

Why take this course?
Course Headline: Master Multilevel SEM Modeling with xxM: Estimate Complex Hierarchical Data Models 📊🚀
Course Description:
Multilevel modeling is a versatile statistical approach that extends beyond simple linear regression, encompassing various terms like hierarchical linear models, nested models, mixed-effects models, random-effects models, and split-plot designs. These models are crucial for understanding complex data structures where variables may operate at multiple levels within a hierarchy. 🧠🔄
With the powerful R package xxM, developed by the University of Houston's Dr. Paras Mehta and his team, you can now estimate these intricate models with ease. xxM introduces the n-Level Structural Equation Modeling (NL-SEM) framework, which allows for a flexible modeling of any number of levels, incorporating both observed and latent variables within a SEM nomological network. 🔍✨
Dr. Geoffrey Hubona, Ph.D., an expert in the field, will guide you through this six-session course, Multilevel SEM Modeling with xxM. You'll learn the "LEGO-like" building block approach to construct complex multilevel models step by step. By understanding these fundamental components, you'll be equipped to tackle even the most sophisticated research designs. 🧱🛠️
Course Outline:
Session 1 & 2:
- Bivariate Random-Intercepts Model 📈
- Two-Level Random-Slopes Model 🌐
Session 3:
- Multilevel Confirmatory Factor Analysis (CFA) 🎯
Session 4:
- Random-Slopes Multilevel CFA 🔄
Session 5 & 6:
- Wide and Long Latent Growth Curve Model ⏰
- Three-Level Hierarchical Model with Observed and Latent Variables 🏗️
Course Highlights:
- Easy-to-follow instruction by an experienced course instructor.
- Seven complete examples covering a wide range of multilevel SEM models.
- Real-world applications for hierarchically nested data, longitudinal data, and more.
- Hands-on practice with the xxM R package.
- Comprehensive resources included: software, data, manuals, slides, and course materials.
Why Take This Course?
- Flexibility: Learn to model complex data at any level of hierarchy.
- Versatility: Apply SEM principles across multiple levels simultaneously.
- Empowerment: Gain the skills to analyze and interpret intricate statistical models.
- Advancement: Enhance your research capabilities in a field that's increasingly demanding multilevel approaches.
By the end of this course, you'll be able to confidently specify and estimate advanced multilevel SEM models using xxM, opening up new possibilities for your research endeavors. 🎓🚀
Enroll now to embark on your journey into the world of sophisticated statistical modeling with Multilevel SEM Modeling with xxM! 🎉
Course Gallery




Loading charts...