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The BIC-values associated with the model fits support the random-intercept only assumption.
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Furthermore, these negative point estimates point in the opposite direction to "missing=smoking" and the impression from Table 7 is that none of the models fitted support this assumption.
To make the decision model fit support processes, low quality can be modeled as additional process execution, and a high time may directly affect costs.
The lack of variance of the factor loadings and strong indicators of model fit supported the notion that factor structure of the EPE remained invariant from 1998 to 2011.
Removal of this item from the scale improved the overall model fit, supporting this decision.
We cannot rule this out, but the model fits provided inconsistent support for such a mechanism in the two monkeys.
Irrespective of these issues, similarities between the unadjusted and adjusted models and robustness under different model fitting assumptions support the stability of estimates.
In its current form, the decision model does not fit support processes where time and quality may not affect process demand, but costs.
The model fitting that supported a single neofunctionalization model on the Oikopleura data was based upon a fit to 30 bins of data, as has been applied in the comparative genomics literature.
Detailed description of the models, fitting procedures, numerical methods, and statistical analysis of the model fits is presented in the Supporting Material.
The model fits the data well and the findings supported the proposed pathways among variables.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com