Factor analysis in AMOS
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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.
Factor analysis in AMOS
- 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
- 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)
- 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)