Once code labels are identified, coding the dataset involves (a lot!) of highlighting and decisions about which node(s) to assign to that piece of text. These are fairly easy to change as needed, being able to see an overview of the codes you are working with is definitely helpful, and it is easy to create hierarchies within the node sets. 3 NVivo becomes particularly useful at the stages of coding and theme development.ĭuring the coding phase, NVivo will help save descriptions, inclusion, and exclusion criteria for each code. Thematic analysis typically encompasses steps which take the researcher from familiarization of the data, through development of codes and themes, and finally to being able to tie these themes to the broader picture within the literature. With over fifty sources to analyze in this review, the thought of doing this work manually seemed daunting. Using NVivo to facilitate the thematic analysis in this project was ultimately extremely helpful in organizing and managing the data. 1 I have worked with Veronica since summer 2016 on this project, which led to a thematic analysis of the literature seeking to better understand the professional practices implemented and challenges faced in managing, preserving and providing access to local music collections in libraries and archives. This post builds off of an earlier one by research assistant Veronica Kmiech, which outlines the process for searching and identifying literature on the topic of how practitioners in cultural heritage organizations manage local music collections.
Education and Music Library, University of Saskatchewan
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