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Table 3 Goodness-of-fit indices for the hierarchical CFA

From: A framework and a measurement instrument for sustainability of work practices in long-term care

  Model° likelihood
ratio χ2*
df RMSEA
(90% C.I.)
CFI SRMR
INITIAL MODEL: 52 variables 0F 2382 1253 0.085 (0.079; 0.090) 0.90 0.10
  1F 2459 1267 0.086 (0.081; 0.092) 0.89 0.11
  2F 2436 1266 0.086 (0.080; 0.091) 0.90 0.10
Model phase 1:
LONG selection
0F 1225 719 0.075 (0.068; 0.082) 0.94 0.08
  1F 1297 733 0.078 (0.071; 0.085) 0.93 0.10
  2F 1262 732 0.076 (0.069; 0.083) 0.94 0.09
Rerun with non-imputed data 2F 1059 732 0.096 (0.083; 0.11) 0.87 0.12
Model phase 2:
SHORT selection
0F 642 384 0.073 (0.063; 0.083) 0.95 0.07
  1F 717 398 0.080 (0.070; 0.089) 0.95 0.10
  2F 681 397 0.075 (0.066; 0.085) 0.95 0.08
Rerun with non-imputed data 2F 537 397 0.084 (0.065; 0.10) 0.93 0.11
  1. * For all likelihood ratio χ2: p < .00001 ° See methods section for the description of the model structures. 0F = basic model with seven factors; 1F = seven factors and one hierarchical latent factor; 2F = proposed structure of seven factors and two hierarchical latent factors, see also Figure 1.