Your English writing platform
Discover LudwigExact(4)
For that question after reviewers met to discuss the question, it was unanimously agreed that the question was categorized correctly for the study.
A question was categorized to a topic if the intersection of its subject CUI-set and the topic CUI-set is not empty.
The question was categorized, all/most of the time, a lot of/some of the time and almost never/not at all, in 3 categories.
In the analysis of intervention effect, each question was categorized as correct/incorrect (for knowledge) or acceptance/non-acceptance (for attitude).
Similar(56)
Then data for each question were categorized into overall themes associated with the question.
Answers to the latter question were categorized (by PS and AW).
The results for the first question were categorized as either infected or not infected.
The results for the second question were categorized as either healing or not healing.
The kiang subspecies in question is categorized as "data-deficient" by the IUCN (Moehlman 2002).
Responses to an open-ended question were categorized using thematic content analysis.
People who answered 'yes' to both question were categorized as having limiting-longstanding illness (LLSI), and the others as healthy.
Write better and faster with AI suggestions while staying true to your unique style.
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