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. 2015 Apr 14;15(2):93–104. doi: 10.1016/j.ijchp.2015.03.003

Table 2.

Goodness-of-fit indices for the measurement and structural model, evaluation of measurement and structural invariance, and comparison of the objectification structural model to two alternative (rival) models.

Model χ2 (df) CFI TLI SRMR RMSEA (90% CIs) Comparison Δχ2df) AIC BIC
Measurement Model (Model 1) 123.5* (67) .971 .970 .057 .045 (.035, .055)
Constrained measurement model (Model 2) 402.88* (219) .970 .970 .057 .045 (.036, .055)
Unconstrained measurement model (Model 3) 383.79* (201) .970 .970 .057 .046 (.036, .056) Models 2-3c 19.09 (18)
Structural model (Model 4) 162.12* (84) .968 .967 .062 .053 (.043, .063) 157,02 174,29
Constrained structural model (Model 5) 528.81* (266) .967 .966 .064 .054 (.045, .064)
Unconstrained structural model (Model 6) 490.44* (252) .967 .966 .064 .055 (.045, .065) Models 5-6d 38.37*(14)
1st Rival Model (Model 7) 183.52* (82) .946 .946 .070 .061 (.051, .071) Models 4-7e 224,00 321,55
2nd Rival Model (Model 8) 198.13* (82) .940 .938 .074 .064 (.052, .072) Models 4-8e 256,42 396,74

Note. χ2 = chi-square; df = degrees of freedom; CFI = comparative fit index; TLI = Tucker-Lewis Index; SRMR = standardized root-mean-square residual; RMSEA = root-mean-square error of approximation; CIs= Confidence Intervals; Δ = difference values; AIC = Akaike information criterion; BIC = Bayesian information criterion.

aTesting for measurement (factor loading) invariance.

bTesting for structural invariance.

cComparison of the objectification structural model to two alternative (rival) models.

*

p < .001.