The Craft of Structural Equation Modeling Course Preview

Start: February 19 @ 5:00 pm CST • End: February 23 @ 9:00 pm CST

Structural Equation Modeling Course Instructor and StudentJoin us for an exciting journey into the world of The Craft of Structural Equation Modeling

Have you ever wondered:

  • How to effectively model complex relationships in your data?
  • What are the key steps in crafting a robust SEM model?
  • Which software tools can streamline your SEM analyses?

Our upcoming “The Craft of Structural Equation Modeling Course” starting on February 19th has all the answers you need. Conducted online, you’ll have the flexibility to learn at your own pace, with replay access available for a full year.

CFA_Preview

LIVESTREAM / ASYNCHRONOUS – 5-day Statistics Short Course, 4hrs per day

Structural Equation Modeling Course Preview: An In-Depth Training in Quantitative Methods

Ready to elevate your measurement game to the latent level? Look no further – you’ve discovered the essential foundation for mastering latent variable modeling: Structural Equation Modeling (SEM)! Many participants have shared that their previous training fell short or was outdated. Join us as we not only introduce you to the latest SEM techniques but also guide you through the precise steps to ‘craft’ a sophisticated SEM model. Upgrade your skills and stay ahead of the curve in this transformative learning experience!

Syllabus:

Day 1
  
5:00 – 6:45 Welcome and Introductions. Philosophy
6:45 – 7:00 Snack and Refreshment Break
7:00 – 9:00 Psychometrics; Defining Constructs
Day 2
  
5:00 – 6:45 Identification & Scale setting
6:45 – 7:00 Snack and Refreshment Break
7:00 – 8:00 Confirmatory Factor Analysis I – Introduction to CFA
8:00 – 8:30 Confirmatory Factor Analysis II – Comparing Models, Model fit
8:30 – 9:00 Multiple-Group CFA – Testing for invariance
Day 3
  
5:00 – 6:45 Multiple-Group CFA – Tests and comparing latent parameters
6:45 – 7:00 Snack and Refreshment Break
7:00 – 8:00 Parcels and Parceling; Missing Data & Power
8:00 – 8:30 Multiple-Group SEM
8:30 – 9:00 Catch up and Discussion
Day 4
  
5:00 – 6:45 Latent Regression Models
6:45 – 7:00 Snack and Refreshment Break
7:00 – 8:30 Mediators
8:30 – 9:00 Catch up and Discussion
Day 5
  
5:00 – 6:45 Moderators
6:45 – 7:00 Snack and Refreshment Break
7:00 – 8:30 Interactions Multi-Trait Multi-Method (MTMM) models
8:30 – 9:00 Catch up and Discussion

Course Topics:

  • Advantages and disadvantages of SEM, Latent vs measured variables, Modeling with constructs, Figural conventions, Manifest vs latent test theory, Selecting indicators, Setting the scale, Model fit indices, Parceling, Invariance testing, Latent parameter testing, Phantom constructs, Sample size and power, Missing data.

Course Description:

Embark on a comprehensive journey with our 5-day short course delving into SEM Foundations & Extended Applications. Immerse yourself in an intensive exploration of the principles of structural equation modeling (SEM) with expert instructors Dr. Little and Dr. Stickley.

Learning Objectives:

The 5 day training institute on Structural Equation Modeling (SEM Foundations) will enable participants to:

  • Describe the psychometric properties that underly Structural Equation Modeling (SEM).
  • Define a latent construct using manifest variables.
  • Identify a latent construct using numerous methods of identification, including marker method, fixed factor, and effects coding.
  • Conduct confirmatory factor analysis (CFA) and evaluate model fit using several fit indices.
  • Compare CFA models using several comparison metrics.
  • Generate and implement item parceling schemes.
  • Evaluate multiple groups using the CFA framework using weak and strong invariance.
  • Test and compare latent parameters in a multiple group framework.
  • Evaluate and address missing data with both FIML and Multiple Imputation.
  • Implement a planned missing data design.
  • Evaluate mediation and moderation in an SEM framework.
  • Evaluate multi-trait, multi-method (MTMM) models.
  • Evaluate hierarchical models.