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Table 4 Model fit indexes for confirmatory factor analysis and second order latent variable analysis

From: Psychometric properties of the Spanish version of the Jefferson Scale of Empathy: making sense of the total score through a second order confirmatory factor analysis

 

Number of variables

Number of parameters estimated

χ2(df), p-value

X 2/df

CFI

GFI

PCFI

PGFI

RMSEA

MECVI

AIC

Δχ2(df), p-value

Model for the CFA

43

Weights: 17

557.18 (167), p < 0.001

3.34

0.9

0.95

0.79

0.76

0.046 (p = 0.938)

0.59

643.18

 

Variances: 23

95 % C.I.

Covariances: 3

[0.043,0.051]

2nd order latent variable model

47

Weights: 19

557.18 (167), p < 0.001

3.34

0.9

0.95

0.79

0.76

0.046 (p = 0.938)

0.59

643.18

120.18 (1), p < 0.001

Variances: 24

95 % C.I.

Covariances: 0

[0.043,0.051]

Modified 2nd order latent variable model

47

Weights: 19

437.01 (166), p < 0.001

2.63

0.93

0.96

0.82

0.76

0.038 (p = 1)

0.48

525.01

Variances: 24

95 % C.I.

Covariances: 1

[0.035, 0.044]