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A new extended corpus was created on the basis of the main categories found in the previous experiment.
The main categories found in this study seem reliable, but could possibly be different in other refugee groups.
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The found 20 context factors are grouped into three main categories (see also Figure 4).
Two main categories were found: 'being challenged' by this patient group and 'being a small part of the healthcare production machine'.
This was done by means of a forced-choice procedure, the main choices being the categories found in Experiment.
The second main category we found was 'Health', which included physical health consequences of smoking and quitting.
A similar rank order was found for first-person embarrassment (M = 5.90, SD = 0.80 (AA); M = 1.39, SD = 0.60 (IU)), thus illustrating the main effect of CATEGORY found in the GLM.
Among the main categories of biological processes found differentially expressed were transport, translation, response to stimulus, oxidation-reduction processes, and apoptosis.
Three main categories of definitions were found: (1) definitions based on symptoms (n = 16, 39%); (2) combined definitions based on symptoms and healthcare use (n = 19, 46%); (3) definitions based on healthcare use (n = 6, 15%).
Details of each main category can be found in the Supporting Information.
We used a constant comparative technique to examine medication adherence barriers across such groups in our analysis and found our main categories to be consistent across groups, with some variation in the sub-categories.
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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