Interpreting Factor Structures

Interpreting Factor Structures

Nguyễn Thị Ngọc ÁnhHUF04 -

Rotated Component Matrix (EFA Result)

Items

Factor 1

Factor 2

Item 1

.72

.18

Item 2

.75

.12

Item 3

.6...

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Rotated Component Matrix (EFA Result)

Items

Factor 1

Factor 2

Item 1

.72

.18

Item 2

.75

.12

Item 3

.69

.25

Item 4

.20

.70

Item 5

.15

.74

Item 6

.28

.68

Interpretation

1. Number of Factors

· 2 factors emerged from the analysis

· These factors explain the main structure of the dataset

 

2. Theoretical Meaning

· Factor 1: Items 1–3 → may represent Motivation 

· Factor 2: Items 4–6 → may represent Anxiety 

· → The grouping is theoretically meaningful and consistent with expectations

3. Unexpected Loadings / Cross-loadings

· Most items load clearly on one factor (> .60)

· Item 3 shows a slight cross-loading (.25 on Factor 2), but still acceptable

· No major issues with overlapping constructs

Conclusion

· The factor structure is clear and interpretable 

· Minor cross-loading exists but does not affect overall validity

· The scale shows good construct validity, though some items could be refined