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Managers could perform an initial sorting of the barriers using the grey clustering algorithm to identify those barriers coming under the high importance categories.
The plurality measure contained several more significant measures, specifically within the experience and importance categories.
The responses were converted into importance-based clusters of categories (low- (1 2), medium- (3 5), and high- (6 7) importance categories).
Merging the importance categories into two (<7 and ≥7) resulted in an eight-fold increase in the number of intervention items achieving consensus agreement (from two items to 18 items).
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The proportions of students in each attribute importance category (high, medium, low) were set to most closely approximate tertiles.
The inclusion criteria for the next round were more rigorous: ≥75% agreement on importance category and/or inclusion in the Top 3 by at least three experts.
The majority of items (n = 15, 71%) had the greatest participant agreement in the high to very high importance category (Likert scores ≥7), reflecting that these items were likely to be included in the GREET (Table 3).
In the first round, consensus in favor of a topic was defined as ≥75% agreement regarding the "importance category" and/or inclusion among the Top 3 by at least two experts.
One item, Who designed the intervention, was considered unlikely to be included in the GREET, with the greatest participant agreement in the low importance category (Likert scores <5) (Table 3).
This statement is a separate item to remind all health professionals who care for patients with RA that discussing with the patient the reasons for aiming at the selected target, the therapeutic options available and the strategies planned to reach the target is of utmost importance (category IV).
It's ironic that a test on grammar (which emphasises the importance of categories) should contain such a category shift.
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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