Table 5 Results of the Factor Analysis of 54 Fatigue Questions from four Fatigue Questionnaires.

From: Fatigue Profiles in Patients with Multiple Sclerosis are Based on Severity of Fatigue and not on Dimensions of Fatigue

Total Variance Explained

Factor

Initial Eigenvalues

Extraction Sums of Squared Loadings

Rotation Sums of Squared Loadingsa

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

Total

1

17.144

31.749

31.749

16.743

31.006

31.006

8.804

2

5.946

11.012

42.760

5.561

10.297

41.304

11.960

3

2.872

5.319

48.079

2.440

4.519

45.822

7.510

4

2.399

4.443

52.523

1.955

3.620

49.442

6.304

5

1.888

3.497

56.019

1.438

2.664

52.105

5.578

6

1.587

2.938

58.958

1.185

2.195

54.300

7.554

7

1.294

2.396

61.354

0.801

1.484

55.784

2.932

8

1.171

2.169

63.523

0.727

1.347

57.131

3.525

9

0.962

1.782

65.305

    

10b

0.937

1.736

67.041

    
  1. aWhen factors are correlated, sums of squared loadings cannot be added to obtain a total variance.
  2. bTable has been shortened after 10 of 54 factors. Extraction Method: Principal Axis Factoring. Rotation Method: Oblimin with Kaiser Normalization.
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