The document provides instructions for conducting factor analysis in AMOS by first entering data in SPSS and running factor analysis to identify suggested variables, then opening AMOS to draw a framework based on the suggested variables and add the SPSS data. It describes creating a measurement model relating unique variables to latent variables and a structural model between latent variables, and checking that estimates, significance levels, and fit indices meet specified thresholds to identify an overidentified model.

1. Factor Analysis
in AMOS
STATISTICAL ANALYSIS
Dr. Hina Jalal
@AKsEAina; @EduTainment; hinansari23@gmail.com

2. Enter Data in SPSS

3. Run factor analysis in SPSS

4. Add items

5. Select KMO in Descriptive

6. Select Varimax in Extraction

7. Select Principal component in Rotation

8. Output in SPSS
Above .5/.4
Here we have 2 suggested variables

9. Check reliability of suggested variables

10. Reliability of
suggested
variables

11. Open AMOS
Draw framework based on
suggested variable
1. Use Draw latent variable
button
2. Connect with arrows
3. Add error terms

12. Add SPSS data in AMOS

13. Drag and Drop Variables

14. Name latent variable (circle)

15. Name Unique Variables

16. Structure Equation Model
 In structure equation model has two types of models
1. Measured Model (relationship between unique variables to latent variable)
2. Structural Model (between latent variables)

17. 1.Measured Model
2. Structure Model
Structure
Equation
Model
Combination
Indicator Variables
Error Variables
Indicator Variable

18. Click Analysis Properties and Select Standardised estimates
from output tab

19. Should > .5 values of estimates (standardised)

20. Check significant level from AMOS output

21. Check Model Fit Indices
Check values that should be
• Chi square p<.05
• RMSEA <.08
• GFI >0.9
• AGFI >0.9
• CFI >0.9
• NFI TLI >0.9
• CMIN/DF <5.0

22. Check Model Identification
Over identified Modelling

23. Dr. Hina Jalal
@AksEAina (hinansari23@gmail.com)