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For some of the continuous variables like age and total number of household residents, new variables were generated and categorised into smaller groups before being put in the regression.
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In order to form an agenda for future research in the area of biofouling and the marine renewable energy industry, 119 topics were generated, categorised and prioritised.
Using the revised codes, the data was re-read, re-coded and categorised to generate themes.
In this article, when aiming to translate results from research into practice, we focus on certain challenges, which can be broadly categorised into two: how the evidence is generated, and how the evidence is implemented.
Free text responses were analysed and categorised, and descriptive analysis performed to generate frequencies for each category.
According to the study aim, a temporal interaction variable with dichotomised length of stay (LOS) in Turkey and categorised LOS in the respective host country was generated for the final analyses.
Codes related to approaches tocare by CCWs were generated from each transcript by each researcher, and these initial codes were compared and categorised.
An interaction variable with dichotomised length of stay (LOS) in Turkey (age: 0 17; 18+) and categorised LOS in the host country (immigration year: 1979 and earlier, 1980 1999, 2000 2009; the latter only for Germany) was generated.
First an ordinal variable for L. intracellularis was generated by categorising the qPCR results into zero = L.
Fibres are prepared and categorised manually.
The shape terms used are registered and categorised.
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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