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The kinetic model fitted the data well (to 95%).
Thus, most configural MI models fitted the data reasonably well.
Again, most configural MI models fitted the data reasonably well.
A model assuming phenotypic assortment fitted the data better than a model assuming social homogamy.
For keyboard and mouse use, a second-order function fitted the data best.
This unconstrained solution fitted the data satisfactorily and supported the dimensional and configural invariance.
Alzaatreh at el. (2013) fitted the data set to the gamma-normal distribution.
The models fitted the data well with little apparent bias (Figure 2).
In all samples, the mathematical model provided an adjustable behavior and perfectly fitted the data.
In all the cases, the function fitted the data very well.
The validity of the model was assessable by how well it fitted the data.
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