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- W4313446077 abstract "A popular choice among software programs to support qualitative analyses, is QSR International’s NVivo software, the latest version being NVivo 12 (QSR International in NVivo Collaboration. Streamlined Research Collaboration & Central Storage | NVivo. https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/about/nvivo/modules/collaboration , 2021a), (QSR International in ustomer Learning & Product Hub: NVivo. Customer Learning & Product Hub | NVivo. https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/support-services/customer-hub/introducing-nvivo , 2021b). NVivo is best suited for the exploration and categorization of text-based data, offering code-and-retrieve features (for thematic analyses), as well as functions that allow you to form connections between codes or categories of information, from which to build conceptual frameworks and even theories (Miles and Huberman in An expanded sourcebook: qualitative data analysis, 2nd edn. Sage, 1994). It can be overwhelming to sift through the vast array of tutorials available and hone-in on what is applicable for your own work. There lies a risk of potentially missing interesting and key findings that may elevate analyses to the next level; simply because researchers did not know how to execute them. Additionally, if the use of the program is one-time or sporadic, necessary understanding can be lost, unexplored or difficult to ingrain. To help bridge these gaps, this article aims to: (1) help qualitative researchers navigate common yet challenging scenarios when using software to support analyses; and (2) serve as a directory identifying and linking which program features may be appropriate for particular types of analyses or question(s). In-person, hands-on training of the software is still advised. This chapter hopes to supplement basic software training by shedding light and bringing awareness to the breadth of tools available to help researchers leverage their data for maximal and comprehensive insights." @default.
- W4313446077 created "2023-01-06" @default.
- W4313446077 creator A5030220821 @default.
- W4313446077 date "2023-01-01" @default.
- W4313446077 modified "2023-10-16" @default.
- W4313446077 title "Harnessing Insights with NVivo" @default.
- W4313446077 cites W2928492842 @default.
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- W4313446077 doi "https://doi.org/10.1007/978-3-031-04394-9_34" @default.
- W4313446077 hasPublicationYear "2023" @default.
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