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Nvivo 12 pro for windows

Manufactured by Lumivero
Sourced in Australia

NVivo 12 Pro for Windows is a software application designed for qualitative and mixed-methods research. It provides tools for organizing, analyzing, and visualizing unstructured data, such as interviews, focus groups, and social media content.

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2 protocols using nvivo 12 pro for windows

1

Qualitative Analysis of Palliative Care Perspectives

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After obtaining written consent from the participants, we audiotaped the focus groups, coded, and analyzed them directly from the audio with the aid of NVivo 12 Pro for Windows, a qualitative data analysis software package (QSR International Pty Ltd 2018). We employed reflexive thematic analysis following the six steps described by Braun and Clarke (2006, 2021) . SJF coded and performed the main analyses in close collaboration with SCZ, a psychologist with experience in palliative care and in qualitative research, and kept notes throughout this process as a form of audit trail. All recordings were coded inductively, first as close Palliative and Supportive Care 3 as possible to the participant's statements, and then by grouping all codes into preliminary thematic clusters. The thematic clusters were discussed at different instances among all co-authors. SJF and SCZ defined the final themes by ensuring the fit of the final themes with the data from all focus groups, in a process consistent with our critical-realist and contextualist stance. We translated the quotations accompanying the themes and subthemes from Swiss German to English.
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2

Qualitative Analysis of Interview Transcripts

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Interviews were transcribed verbatim by the second author using NVivo12 Pro for Windows (QSR International, Victoria, Australia). Transcripts were not returned to participants for comment or correction. After half the interviews were transcribed, the first coder (second author) analyzed the data using open coding. A second coder (first author) then reviewed the codes. After coders reached consensus, they revised the original codes. Then the first coder (second author) coded the remaining transcripts. The second coder independently coded approximately half of the transcripts using the same code sets and after discussion, added a few codes. The first coder then re-evaluated the transcripts for final coding changes. After coding, the first and second authors sorted data into categories in order to identify themes. Then a comparative pattern analysis was completed to confirm themes. No new themes were identified in the analysis of the final transcripts. Therefore, it was determined that recruitment of additional participants was unnecessary as data saturation was reached. While the researchers summarized the interviews to each parent or small group of parents, we did not share the themes and sub-themes for feedback.
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