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As recommended when analyzing qualitative data [ 40], the first author wrote memos describing common patterns and themes within each level, and providing direct quotes from participant transcripts.
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Common patterns and divergences were then looked for across all themes from each transcript.
Themes were then re-coded and classified, identifying common patterns and convergences and divergences in data through a process of constant comparison.
NM analysed the interviews by category to determine common elements, patterns and themes within each participant's interview.
Analysis involved sorting data to identify common sequences, phrases, patterns and themes, ensuring comprehensive treatment of the data.
The findings from these studies were analyzed to identify common patterns or themes.
With this method we identified patterns and themes common to all the interviews.
On the other hand, despite efforts to find common patterns among the themes identified, it was only managed to extract and combine the results, providing a lower interpretative level than if we had been able to undertake a metha-synthesis had been undertaken.
Secondly, emergent patterns and themes across studies were discussed.
Two subsequent levels of coding identified emergent patterns and themes.
Phases included familiarisation with the data; generation of initial codes; searching for themes or patterns; themes and patterns reviewed; and, themes and patterns defined and named.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com