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Active language identifies meaning clearly and quickly in a sentence.
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But he added that in the report, the only athletes named were those it was clearly able to identify, "meaning cyclists".
Each researcher identified meaning units by codes.
The analysis started by identifying meaning units in the transcripts.
During the second stage, ML identified meaning units and subsequently, from the convergence of meaning units, identified themes.
Analysis included thorough reading of the transcribed text to identify meaning units.
Within each of the major content areas, identified meaning units were condensed and later coded.
The purpose of the analysis was to identify meaning themes and the core meaning experienced by the physicians.
Then the first eight interviews were transcribed verbatim, and the initial coding identified meaning units in the transcribed text.
The first and the last author read through all the interviews separately several times and identified meaning units.
Open code helped to organise the transcripts into a format to analyse, identifying meaning units, assign codes, categories and themes.
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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