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The correlations between the other items are in the range r= 0.39 to r= 0.56.> A factor analysis of the four items found a single factor explaining 67% of the variance, demonstrating unidimensionality.
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The fourth column shows the total correlation coefficient between one item and the other items.
The results for the item on vitality (item 5) vary more substantially than the other items between the two studies, particularly for the MCS component.
While the visualization of a ranking itself is straightforward, its interpretation is not, because the rank of an item represents only a summary of a potentially complicated relationship between its attributes and those of the other items.
The main difference between the "minimum required" functionalities and the other items is the lack of certain decision-support functionalities for providers (i.e., prompts) and or tracking of tests.
The item-rest-correlation, indicating the correlations between items and the sum of the other items were moderate to strong and ranged from 0.46 to 0.63 supporting the assumption of unidimensionality of the construct.
No appreciable differences for the other items were found between the factor loadings under the one-factor model and bifactor model.
The covariates considered explained less variance in the items 'pain' and 'anxiety/depression' (deviance explained 5.3% and 4.2%, respectively) than in the other items (deviance explained between 13.1% and 16.5%).
Except for homocysteine (p = 0.043), all the other items displayed similar levels between CADASIL patients and CADASIL-like patients (p > 0.05, Table 2).
A factor analysis merging the item with the support scale supported a one-factor solution, however, the item was in general less correlated with the other items than the correlations between the items in the established scale (data not shown).
It can be assumed that the negative correlation of the "on-call duty" item between the other five items was responsible for the negative internal consistency.
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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