Discuss Your EFA Results

EFA Summary

1. Extraction & Rotation Methods

· Extraction method: Principal Component Analysis (PCA) 

· Rotation method: Varimax with Kaiser Normalization 

· → Chosen to simplify factor structure and make interpretation clearer

2. KMO & Bartlett’s Test

· KMO values: .901, .774, .725
→ All > 0.60 → good sampling adequacy 

· Bartlett’s Test: p = .000
→ Significant → data is suitable for factor analysis 

3. Items & Factors Retained

· Total items: multiple (Pc, Rpc, Rmast scales) 

· Factors retained: 3 main factors (based on rotated matrix & structure)

Reason:

· Eigenvalues > 1 (standard criterion)

· Most items have factor loadings ≥ .50 

· Clear grouping into constructs:

o Rpc → Factor 1

o Pc → Factor 2

o Rmast → Factor 3

4. Additional Notes

· Most items load clearly on one factor → good construct validity 

· Some cross-loadings exist but not severe

· Negative loadings (pc items) → due to reverse-coded items (acceptable)

Conclusion

· The data is highly suitable for EFA 

· The 3-factor structure is clear and theoretically meaningful 

· Minor issues (cross-loading, weak items) can be improved in future revisions