I am writing the analysis section of my thesis. And I have to go back to the data. The other day and wanted to look at the coding in a different light, so I play around in Nvivo. I did a “nodes cluster by coding similarity”.
Cluster analysis is an exploratory technique that you can use to visualize patterns in your project by grouping sources or nodes that share similar words, similar attribute values, or are coded similarly by nodes. Cluster analysis diagrams provide a graphical representation of sources or nodes to make it easy to see similarities and differences. Sources or nodes in the cluster analysis diagram that appear close together are more similar than those that are far apart. A horizontal branching diagram where similar items are clustered together on the same branch and different items are further apart. Dendrograms can be useful for comparing pairs of items.
I discover that my 10 participants (they have a node as well) were paired with another nodes. And it describe in one word how they feel about online videos or how they use them. So, my coding is not too bad. Here is the list of the codes : aesthetic, nostalgia, mobility, concert, emotion, anchor, instructive, easiness, keyword, and pleasure. It just shows the range of reasons for sharing online videos.
I also take screen captures of the different things I do with Nvivo, keeping an archive of what I used and what I found to be useful. And this helps me thinks about the congruity between the methodology use, the analysis, and the final writings. This is part of my strategy to be transparent in writing, to show where my conclusion is coming from. Because “transparency is necessary for accountability” (Bringer, 2004)
Bringer, J. D., Johnston, L. H., & Brackenridge, C. H. (2004). Maximizing Transparency in a Doctoral Thesis1: The Complexities of Writing About the Use of QSR*NVIVO Within a Grounded Theory Study. Qualitative Research, 4(2), 247-265.