You will learn how to:
- Identify latent, manifest, exogenous and endogenous variables
- Fit SEM models with the R package lavaan
- Produce path diagrams of SEM models with semPlot
- Use confirmatory factor analysis
Who Should Take This Course
Researches and analysts who want to go beyond simple models and incorporate multi-directionality, multiple outcomes and latent variables, using R.
Terms and Concepts in SEM
- Terminology about models: latent, manifest, exogenous, and endogenous variables
- Understanding model diagrams: squares, circles, and paths
- Hypothesis testing in SEM
- Specification, identification, and degrees of freedom
- Estimation and other considerations
Your First Model and Fit Indices
- lavaan syntax: understanding how to create models
- Path models: regression on regression
- Fit indices: goodness of fit and residual statistics
- Interpreting lavaan output
- Creating a measurement model: applications to confirmatory factor analysis
- Reflective versus formative modeling approaches
- Latent variables
- Creating diagrams with semPaths
Full Structural Equation Models
- Combine path and measurement models
- Heywood cases
- Modification indices
- Model comparison
You should have some familiarity with statistical modeling (e.g. regression) and the basics of educational measurement and assessment. You should also be comfortable working in R.
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About 15 hours per week, at times of your choosing.
Homework in this course consists of short answer problems and includes exercises that require the use of computer software. In addition to assigned readings, this course also has an end-of-course project, short narrated software demos, example software codes, and supplemental readings available online.
All necessary course materials will be made available online. If you would like a text, a good optional choice is Latent Variable Modeling Using R by A. Beaujean.
This courses uses the lavaan and SEMPlot packages in R.
Literacy, Accessibility, and Dyslexia
At Statistics.com, we aim to provide a learning environment suitable for everyone. To help you get the most out of your learning experience, we have researched and tested several assistance tools. For students with dyslexia, colorblindness, or reading difficulties, we recommend the following web browser add-ons and extensions:
- Color Enhancer (for colorblindness)
- HelperBird (for colorblindness, dyslexia, and reading difficulties)
- Mobile Dyslexic
- Color Vision Simulation (native accessibility feature)
- Other native accessibility features instructions