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Exact(3)
A preliminary coding guide based on interview questions was created for coding of the first interview.
As a method of evaluation, a questionnaire with twenty questions was created and designed to be completed by a twenty-minute telephone interview.
For the knowledge domain, an epilepsy knowledge test composed of 17 questions was created (see table 2), and a score was provided, varying from 0 (totally ill advised) to 10 (totally well informed).
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A total of 43 Likert-type scale questions were created.
The questions are created according to the literature review, which are designed to be answered in ordinal scale.
Where no previous validated scale questions were available to address key areas of enquiry, questions were created based on findings in the current literature.
The quantitative assessment questions were created to fit into the 'recall' and 'understanding' levels of Bloom's taxonomy of higher-order thinking (Krathwohl 2002; Bloom et al. 1956).
In addition, two subscores for reading only (DDS-Reading) and writing only (DDS-Writing) related questions were created for further risk stratification based on evidence that writing texts is even more dangerous than reading texts alone (Caird et al. 2014).
Summaries highlighting problems pertaining to particular questions were created.
Quiz questions were created that assessed understanding of the subject content to be covered on exams.
Within each content area, research questions were created by the project manager in conjunction with the core literature review group.
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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