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Based on an inductive qualitative approach, the narratives are structured in an open coding process orientated toward 'blue' and 'green' space, based on the space and place discourse of Relph (1976).
Data were coded using an open coding process.
We then used an open coding process to comprehensively identify categories and concepts that emerged from the data.
The text was subjected to an open coding process to conceptualize information of importance for the research question.
The analysis then proceeded with detailed analysis of each interview and an open coding process with the use of the Open-Code software (10, 11).
For each set of responses upon which the content analysis was conducted, an open coding process was used to determine relevant emerging themes and subsequently identify clusters within these themes.
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In this research, the open coding process began with a simple frequency listing of the vocabulary used by patients.
In the open coding process, we each did a line by line analysis trying to uncover and identify different concepts that were present in the individual interviews.
The raw data broken down in the open coding process were recombined in the axis and selective coding process to reorganize their relationships.
Two of the other coders, S2 and S3, who were not involved in the open coding process, then independently applied these codes to the sampled tweets.
Categories were drawn from the open coding process, including coding of phrases, comments, and features of the transcripts, which grounded findings in the data [18].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com