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