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In our work we examine not only how people in traditional and nontraditional cultures sort names of biological kinds into higher order categories, but also how they use those categories in reasoning tasks.
These higher order categories were constructed to afford statistical power for analysis.
During the 'organising' stage data is analysed to create codes which are combined to form higher order categories and subcategories.
Thus, the data events are summed into higher order categories (e.g., duration of all diagnosis events across function types).
The higher order categories were linked to the results of the survey analysis and were used to supplement and expand the interpretation of the quantitative data.
We then grouped the individual constructs into higher order categories (e.g., nursing home use and hospital use were compiled into the category "care recipient health care utilization").
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The higher order category of consensual commitment explained effective decision-making.
Of these, assignments to level two GO-terms of the highest order category Biological Processes made up the majority (5652) followed by Cellular Components (4231) and Molecular Function (3124) (Additional file 2).
Using GO term enrichment analysis, four higher-order categories were identified in the up-regulated gene set: i) endoplasmic reticulum (ER) membrane translocation, ii) protein glycosylation, iii) vesicle transport, and iv) ion homeostasis.
Based on this analytical procedure, I formed higher-order categories that facilitated an interpretation of the data at a more abstract level (Van Maanen 1979).
To develop the initial codes, the analysts reviewed five randomly selected transcripts and independently created a list of codes that described higher-order categories that aligned with the interview questions (e.g., steps and processes in planning and effects of professional development).
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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