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Full details of the model fitting process, including saturated model fit is included in the Appendix (Tables  3, 4, 5).

If it is determined that the model fit is substantially worse when restrictions are added in a step, the modeling process stops and further models are not fit.

The reason for the poor model fit is not clear.

Model fit is assessed using the widely applicable information criterion (WAIC) (Watanabe, 2010).

So, if the model satisfies this assumption, positive evidence of model fit is available.

The model fit is satisfactory (CFI = 1, TLI = 1, RMSEA = .00).00

Model fit is mentioned in the explanation of Model 3 below.

The goodness of the model fit is evaluated in terms of several measures.

According to the information criteria, the best model fit is yielded by the four-dimensional PCM.

However, there are signs that the model fit is poor in this case.

Good model fit is described by values ≥.95 (Schreiber et al. 2006).