CFA
Week 14: April 7, 2025
Reading
- Hahs-Vaughn, Chapter 10.
Introduction to the Topic
This week, we transition to Confirmatory Factor Analysis (CFA), a method used to test hypotheses about the relationships between observed variables and latent constructs. CFA is essential for validating measurement models.
Key Concepts:
- Measurement Models: Predefined structures relating observed variables to latent factors.
- Model Fit Indices: Tools (e.g., CFI, RMSEA, SRMR) to assess how well the model fits the data.
- Standardized Loadings: Interpreting the strength of relationships between observed and latent variables.
- Modification Indices: Suggestions for improving model fit.
Relevance:
- Students will learn how to specify and test measurement models using CFA.
- Students will gain skills to evaluate model fit and refine models as needed.
Why This Is Important:
- CFA allows researchers to validate scales and ensure measurements are reliable and valid.
- It provides a foundation for structural equation modeling (SEM), which combines measurement and path models.
How This Ties Into the Overall Course:
- Builds upon EFA by moving from exploration to hypothesis testing.
- Prepares students for advanced SEM techniques and latent class analysis (LCA).
By the end of this week, students will be able to conduct CFA, assess model fit, and refine measurement models for research applications.