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Nvivo 12 pro software

Manufactured by Lumivero
Sourced in Australia

NVivo 12 Pro Software is a qualitative data analysis application developed by QSR International. It provides tools for organizing, analyzing, and visualizing unstructured data such as interviews, open-ended survey responses, social media, and web content.

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Lab products found in correlation

3 protocols using nvivo 12 pro software

1

Narrative Inquiry in Qualitative Analysis

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The framework for qualitative analysis was the narrative inquiry methodology. Narrative inquiry engages in understanding individual’s experiences and the meaning behind these experiences. Significantly, individual’s experiences are given particular meaning within larger societal context (Clandinin, Cave, & Berendonk, 2017 (link)). While participants share their individual narratives, each person’s narrative is particularly meaningful given his/her relationships within societal, cultural, and institutional narratives (Clandinin et al., 2017 (link)). Additionally, researchers using narrative inquiry recognize and reflect that their own narratives reflect their experiences as researchers and the meaning given to data within narrative inquiry (Caine, Estefan, & Clandinin, 2013 (link)).
Two investigators reviewed each transcript separately, identifying and analyzing themes in the data. Additionally, QSR International’s NVivo 12 Pro Software was used for qualitative data analysis. The software was used for quantifying word frequencies and for identification and organization of themes. Initial analysis was done separately by each investigator. Subsequently, all three investigators met to discuss themes until consensus was reached.
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2

Qualitative Thematic Analysis of Ecological Factors

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Focus groups and interviews were audio-recorded and transcribed verbatim. Transcripts were uploaded to NVivo 12 Pro Software (QSR International) for data management and analysed following the six phases of reflexive thematic analysis using an inductive approach (46 (link)). Codes were independently applied to quotes throughout each transcript by a member of the research team (L.D.D). To minimise the risk of bias and ensure correct interpretation of quotes, transcripts and codes were critically reviewed, discussed and confirmed by the research team (A.J.H and A.M.G). Quotes representing similar views were then clustered together and assigned initial sub-themes (L.D.D), which were reviewed by the research team (A.J.H and A.M.G) and refined before reaching consensus on the potential sub-themes. Each sub-theme was then mapped to each level of the ecological model, namely: individual (intrapersonal), social environment (interpersonal), physical environment, and macro environment (32 (link)). Quotes that were most reflective of the sub-themes were selected for inclusion.
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3

Inductive Thematic Analysis of Qualitative Data

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Using a constructivist grounded theory approach, a generic inductive thematic analysis was conducted where coding and theme development was directed by the content of the data, rather than fitting into a pre-existing coding frame [21 (link),22 (link)]. Two authors (SM & VR) independently read the transcripts to familiarize themselves with the data and generated initial codes and themes. Using an iterative process, the researchers then worked with a third investigator (KK), ensuring the validity of analysis via on-going discussions and allowing for reassessment of themes and interpretations until consensus on the final themes and subthemes was reached. NVivo 12 Pro software (QSR International, Melbourne, Australia) was utilized for data management. The study was reported according to the 32-item Consolidated Criteria for Reporting Qualitative Health Research (COREQ) [23 (link)].
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