1. Kayla Jordan D. Wayne Mitchell RStats Institute Missouri State University

2. What is SEM?  Statistical technique useful for testing theoretical models  Theory-driven  Confirmatory

3. Types of Variables Latent Variable Exogenous Variable Manifest or Observed Variable Error Residual Endogenous

4. Types of Models Measurement Model Structural Model

5. Degrees of Freedom  Knowns: n(n+1)/2 -> 8(9)/2 -> 36  Unknowns: 5 factor loadings, 2 path coefficients, 8 error variances, 2 residuals -> 17 total unknowns  Degrees of Freedom: Knowns – Unknowns -> 19

6. Estimates

7. Factor Loadings Indicates all observed variables are measuring the latent variable. Values closer to one indicate that the observed variable is measuring latent better (e.g., H3 is a better item than H6)

8. Confirmatory Factor Analysis

9. Path Analysis

10. Full Structural Model

11. Multi-Trait, Multi-Method

12. Fit Indices

13. Model Comparisons  Need for Multiple Models  Chi-Square Difference  CFI Difference

14. Assumptions  Sample Size  Normality  Outliers  Multicollinearity

15. Programs

16. Questions? Contact: kaylajordan91@gmail.com