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Table 2 Factor loadings and goodness-of-fit-statistics of the CFA on three models of the SCVq

From: Confirmatory factor analysis of the Dutch Screening Visual Complaints questionnaire in people with multiple sclerosis

Item no

Factor loadings

1-factor model

3-factor model

5-factor model

2

0.80

0.81

0.83

3

0.83

0.83

0.86

20

0.85

0.86

0.88

5

0.90

0.91

0.93

9

0.78

0.78

0.80

10

0.90

0.90

0.98

11

0.83

0.84

0.90

12

0.86

0.86

0.94

17

0.84

0.85

0.91

18

0.75

0.75

0,79

19

0.94

0.94

1.00

4

0.54

0.58

0.58

6

0.60

0.65

0.65

7

0.84

0.90

0.90

8

0.85

0.92

0.92

13

0.39

0.42

0.42

14

0.51

0.55

0.55

15

0.47

0.61

0.61

16

0.45

0.56

0.56

Fit statistics

Ā Ā Ā 

Ļ‡2 (df)a

394.30 (152)

357.75 (149)

286.15 (142)

Ļ‡2/df

2.59

2.40

2.02

RMSEA

0.057

0.053

0.045

CI-RMSEA

0.050; 0.064

0.046; 0.060

0.038; 0.053

SRMR

0.071

0.066

0.061

CFI

0.99

0.99

0.99

  1. Ļ‡2/dfā€‰=ā€‰normed chi-square, CFI: Comparative Fit Index, CI-RMSEA: 90% confidence interval of RMSEA, RMSEA: Root Mean Squared Error of Approximation, SRMR: Standardized Root Mean Square Residual
  2. aSatorra-Bentler Scaled Chi-Square