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'See additional file 4: examples for items 13, 15, 18 and 19 of the SASCCS'.
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For example, for item 3, not one person chose 0 ("not helpful"), which demonstrates that the probability of this response category being chosen across the latent characteristic will always be less than the alternatives.
Examples See tables 5 and 6. *See also example for item 6a.
For example, for item N1, the average item score climbs consistently as the total subscale score increases, approaching a maximum value of six out of the seven options.
For example, for item P1, P3 and P5, the average item score climbs consistently as the total subscale score increases, approaching a maximum value of six out of the seven options.
For example, for item a in domain 1 'Informing patients about their condition or potential health issues', two participants suggested changing 'informing' to 'discussing' and one participant suggested using the phrase 'engaging patients in..'..
For example, for item G3 (Guilt Feelings), OCCs were flat (not peaked) across almost the entire severity range, and was dominated by a single response option throughout most of the distribution of scores.
Examples for long items are "Produktion" (production) – "Broduktion" – "Proklinom".
Examples for short items of the three categories are "Text" (text) – "Tekst" – "Tokst".
A training manual addresses intent, and definition, and provides examples for scoring items.
For example, concordance for items and domains concerning functional limitations are higher compared to items and domains concerning emotional and social well being.
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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