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In our psychometric modelling we evaluated the fit of categorical (ordinal response) factor models with single and six construct factors, first and second-order factors, and method factors, as well as providing a reference comparison to a model with random item-factor associations.
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In terms of visual modelling we evaluate non-gesture-models, length modelling and universal transition models.
To compare the 2 lactation models, we evaluated the goodness of fit using 6 evaluation criteria.
For each classification model we evaluated several feature selection approaches by using 10-fold-cross-validation.
Using simple empirical degradation models, we evaluated the effect of the crystallinity and the hydrophilicity.
By simulating the model, we evaluated the efficacy of MMPi therapy.
Using a computational model, we evaluated the contribution of each factor separately in category encoding.
Using state-of-the-art coma modeling, we evaluated three different Rosetta orbit mission scenarios.
Based on the estimated fault model, we evaluated the effect of the earthquake on the Aso magma system.
For each of those models, we evaluated some metrics to compare our proposed protocol and other key management solutions.
In the second model, we evaluated differences between the estimates using the minimum amount of overlap between consecutive surveys.
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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