Table 1.
Eigenvalues and Sums of Squared Loadings from Factor Analysis of all 28 Items (Principal Axis Factoring, Oblique Rotation, Delta = 0)
Initial Eigenvalues |
Extraction Sum of Squared Loadings |
Rotation Sums of Squared Loadingsa |
|||||
---|---|---|---|---|---|---|---|
Factor | Total | % of Variance |
Cumulative % |
Total | % of Variance |
Cumulative % |
Total |
1 | 13.56 | 48.44 | 48.44 | 13.25 | 47.31 | 47.31 | 12.20 |
2 | 2.38 | 8.49 | 56.93 | 2.06 | 7.36 | 54.67 | 3.10 |
3 | 1.86 | 6.63 | 63.56 | 1.43 | 5.10 | 59.77 | 4.61 |
4 | 1.14 | 4.06 | 67.62 | 0.74 | 2.63 | 62.40 | 7.84 |
Note. Eigenvalues for all remaining factors were less than 1. Extraction Method: Principal Axis Factoring, n = 149. Kaiser-Meyer-Olkin Measure of Sampling Adequacy, 0.926. Bartlett’s Test of Sphericity; approximate chi-square 3624.534, df = 378, p < 0.001. Velicer’s MAP test indicated the number of components was 3. Parallel analysis indicated the number of components to be 4.
When factors are correlated, sums of squared loadings cannot be added to obtain a total variance.