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Videos are sorted into topics, searchable or simply streamed continuously, TV-style.
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The questions were simplified and sorted into main topics and sub-questions for probing to help participants further understand the focus.
Briefly, similar responses given by the discussants in response to each topic of discussion were highlighted and sorted into one category for each topics.
Subsequently meaning units in the text were identified and manually sorted into groups according to the topics from the main questions in the focus groups, i.e. the three key priority-setting criteria.
Within the barriers and facilitators sections, discussion topics are sorted into major themes, and minor themes and then ordered by relative importance as judged by the volume of the discourse created, measured by the number of words and ideas generated for each topic from both the verbal discussion and written activities.
The text was then re-read several times and meaning units assigned to a single topic were sorted into three categories.
All text related to the same topic was inductively sorted into the following initial categories: interaction between professional groups; organizational features; communication; descriptions of professional roles (e.g. RNs, assistant nursing staff, MDs, engineers, and physicists); hierarchies; and leadership.
The list is sorted into descending order.
The Si samples to study were sorted into two groups.
Features are sorted into a ranking according to its relevance.
The data was sorted into three subgroups by tenancy type.
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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