sem-15042009375265147-conversion-gate01.pptx

1. CFA and SEM

2. Prediction --- Regression
- Linear/Multiple Regression
- Tree Regression
- Ridged Regression
- Lasso
Inference --- Regression
-- Structure Equation Model
-- Partial Least Squares
- Path Analysis

3. Prediction --- Regression
- Linear/Multiple Regression
- Tree Regression
- Ridged Regression
- Lasso
Inference --- Regression
-- Structure Equation Model
-- Partial Least Squares
- Path Analysis

4. Prediction --- Regression
- Linear/Multiple Regression
- Tree Regression
- Ridged Regression
- Lasso
Inference --- Regression
-- Structure Equation Model
-- Partial Least Squares
- Path Analysis

5. Dimension Reduction/ Grouping
--- PCA
--- EFA
--- CFA
--- Cluster Analysis

6. Dimension Reduction/ Grouping
--- PCA
--- EFA
--- CFA
--- Cluster Analysis

7. Dimension Reduction/ Grouping
--- EFA
--- CFA
Inference ---- Structure Equation Model
--- PCA
--- EFA
--- CFA
--- Cluster Analysis

8. Dimension Reduction/ Grouping
--- EFA
--- CFA
Inference ---- Structure Equation Model
--- PCA
--- EFA
--- CFA
--- Cluster Analysis

10. CFA
While (Model Fit is Poor) {
• Construct a Model in Amos
• Check Model Fit
• Modification
}
Model Test – reliability and validity

12. If (model fit is always poor || model test fails) {
If (result of EFA is acceptable) {
Change your research questions
Regression + EFA
} else {
Give up
}
}

13. SEM
Generate Factor Scores (Composites)
While (Model Fit is Poor) {
• Construct a Model in Amos
• Check Model Fit
• Modification
}

14. SEM
Control
A C
B
D

15. SEM
Mediation
A C
A B C