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. 2017 Sep 27;5:e3832. doi: 10.7717/peerj.3832

Table 3. Confirmatory factor analyses of the Fatigue Assessment Scale: overall model fit.

Model χSB2 df CFI GFI SRMR RMSEA
Subsample 1, N = 406
Model 1a 108.8 35 0.98 0.99 0.064 0.072
Model 1b 83.8 34 0.98 0.99 0.048 0.060
Model 2a 87.5 34 0.98 0.99 0.059 0.062
Model 2b 61.44 33 0.99 0.99 0.040 0.046
Model 3a 84.99 33 0.98 0.99 0.048 0.062
Model 3b 50.94 25 0.99 1.00 0.035 0.051
Model 4a
Model 4b 38.5 24 1.00 1.00 0.032 0.039
Subsample 2, N = 397
Model 1a 119.1 35 0.97 0.98 0.064 0.078
Model 1b 114.1 34 0.97 0.99 0.064 0.077
Model 2a 73.0 34 0.99 0.99 0.052 0.054
Model 2b 62.4 33 0.99 0.99 0.045 0.047
Model 3a 112.7 33 0.97 0.99 0.060 0.078
Model 3b 50.94 25 0.99 1.00 0.035 0.051
Model 4a
Model 4b 41.63 24 0.99 0.99 0.033 0.043

Notes.

χSB2
Chisquare Satorra-Bentler
CFI
Comparative Fit Index
GFI
Goodness of Fit Index
RMSEA
Root Mean Square Error of Approximation
SRMR
Standarized Root Mean Square Residual
Model 1a
one-dimensional model
Model 1b
model 1a with correlated errors between items with positive wording, items #4 and #10
Model 2a
two correlated factors: physical fatigue (five items) and mental fatigue (five items)
Model 2b
model 2a with correlated errors between items #4 and #10
Model 3a
bifactorial model of a general factor and a specific factor with items with positive wording
Model 3b
bifactorial model of a general factor and two specific factors, one with items with positive wording and the other with items with negative wording
Model 4a
bifactorial model of a general factor and two specific factors, one for the items of physical fatigue and the other for those of mental fatigue. It did not converge in any of the two subsamples
Model 4b
model 4a with correlated errors between items #4 and #10