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In the ultimate decision regarding the analysis and image processing selection, not only experience, but also the shape of the anomalies and the convergence of the best fitting model, are important criteria.

The parameters of the best fitting model are listed in Table 1.

Thus, based on all fit indices, the best fitting model was retained in all following analyses.

In confirmatory factor analysis, the selection of the best fitting model was based on several fit indices.

The best fitting model is shown in Fig. 5.

The best fitting model was chosen according to the statistical criteria.

In the end the deviations from the best fitting model were investigated.

Therefore, the best fitting model is selected by relatively compared values over all indices.

The best fitting model is a matched Q matrix of which the match is not that strict or smooth with regard to the degree of overlap.

In each case, the best fitting model was the one that allowed for both positive and negative selection along the internal branches involved in the bottlenecks (p<0.05).

Our best fitting model is described in table 6.