Monthly Archives: August 2013

cluster analysis

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)

 

summer

summer

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.

 

 

 

Questions to ask yourself before writing an analysis chapter

As I was confused about (and procrastinating) what to do exactly in the analysis section of my thesis. After watching a 5 min video on the matter, I got inspired to write a blog post.

Here is the main point from the video that I turn into questions  :

  1. interpreting your findings, what does it mean?
  2. What is important?
  3. What are the majors themes the emerge from the data?
  4. What connection can you make with other findings? (Reintegrate your lit review)
  5. What’s your problematic? (Bring back the research question at the beginning of the chapter)
  6. What is the structure of your analysis? How are you going to organise all this? (This will help your reader to understand what you are trying to do here)
  7. what is your contribution? (bring something new to science)

I am going to go and answer those, I am sure it will help with the section of the thesis.

10 Distinctive Qualities of Qualitative Research

Research Design Review

Researchers conduct qualitative research because they acknowledge the human condition and want to learn more, and think differently, about a research issue than what is usual from mostly numerical quantitative survey research data.  Not surprisingly, the unique nature otreehopperf qualitative inquiry is characterized by a distinctive set of attributes, all of which impact the design of qualitative research one way or the other.  The 10 unique attributes of qualitative research* are the:

  1. Absence of “truth” With all the emphasis in qualitative research on reality and the human condition, it might be expected that qualitative inquiry is in the business of garnering “the truth” from participants.  Instead of “truth,” the qualitative researcher collects information from which some level of knowledge can be gained.  The researcher does not acquire this information and knowledge in a vacuum but rather in a context and, in this way, the research data are a product…

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