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Through independent and joint review, three researchers developed and grouped codes into themes for analysis, using open and axial coding.
(4) Use the coding process to generate a description of the setting or people as well as categories or themes for analysis.
All transcripts were open coded to generate themes for analysis.
Potential themes for analysis were noted during the interviews and when verifying the transcripts.
Next, we reviewed the content of individual transcriptions to identify themes for analysis.
The themes for analysis were separated between processes at the forum and outcomes that affected the KNEPP study as a whole.
The common thematic guide, developed before the data collection, provided the initial themes for analysis, with data from the documentary analysis and key informant interviews integrated in the findings.
Therefore, this reference was chosen as the central theme for further analysis.
Primarily, results are presented within the three key TAM themes used for analysis: Perceived usefulness; Perceived ease of use; Actual use of the technology as well as the associated sub-themes that were identified within these high-level thematic constructs.
Data were analyzed using IBM SPSS® version 21 for quantitative analysis, and the open-ended responses were coded using constant comparative analysis to identify key themes for qualitative analysis.
In some studies that used mixed-methods, the collected diagrams were the primary source of data and guided the analysis of additional data sources, for example, by providing the core themes for transcript analysis.
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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