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Exact(1)
For most items the interquartile range was 1. Assessing how strongly the determinants for antibiotic prescribing support or counter antibiotic treatment (Q2), none of the 63 items is strongly in favour or against antibiotic treatment.
Similar(59)
Also unsurprisingly, all of the Epithets collocating with these items are strongly negative.
While a few items were strongly correlated (e.g. in the CSHA, reading correlated strongly with writing (r = 0.60), and marital status correlated with living alone (r = 0.77)), correlation among the items in the social vulnerability indices was generally weak: CSHA median correlation 0.085, IQR = 0.04 0.14.
The other 4 items were strongly scalable (H =.46).
Response options for all belief items were "Strongly Agree," "Agree," "Neutral," "Disagree" and "Strongly Disagree".
For consequences positive two items were excluded, the remaining three items were strongly scalable (H =.45).
Scores on the two items were strongly correlated (r = −.451, p <.01).
These items were strongly associated with adolescent depression and increased number of somatic symptoms at baseline [ 13].
Unsurprisingly, it was found that these two items were strongly correlated, although neither of them correlated strongly with any other item.
With this approach, scale items are retained in a composite only if those items are strongly related to progression over time.
Scores on the two items were strongly correlated (r =.652, p <.001) and were averaged to form an index of PBC.
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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