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The initial user latent factor and item latent factor are learned by WMF.
δ1 represents the prediction error associated with latent factor.
Figure 3 shows the Common Latent Factor (CLF) based model.
Table 2 contains the lower order latent factor correlations.
Analyses suggest that IAT latent factor influences negative explicit attitude.
Though latent factor vectors' dimensionality of various contexts can be different in Multiverse and COT.
This make them hard to apply for larger dimensionality of latent factor vectors.
Dimensionality of latent factor vectors is one of the important parameters.
Open image in new window Fig. 3 The Common Latent Factor (CLF) based model of FEA.
Items loaded on a single latent factor and had high internal consistency and convergent validity.
A single latent factor was sufficient to describe the heterogeneity of executive function.
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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