All entries for Monday 19 November 2018
November 19, 2018
Writing is a continuous, ongoing task in qualitative research but the question is, what do you write? Obviously, many qualitative methodological textbooks and my own experiences suggest that it is very important to document what you observe and begin to interpret very early in the qualitative process. Typically, quantitative research is fairly set in nature and the writing of the research findings usually take place following the analysis phase. With qualitative research, you begin to write about your findings and interpretations at the very beginning of the analytical process. Your writings, interpretations and coding schemes, etc. all change and evolve over time, and it is always wise to write about these changes as they occur.
Reflect on these changes and alternatives, explain the way in which these changes have impacted your research, compare the changed approach to the previous approach, and evaluate these changes. All these reflections shall form a part of your analysis and overall production of the research design chapter and later thesis chapters.
Typically in qualitative research, data analysis and writing of the interpretations and findings occur simultaneously. What I am finding that is in addition to the norm is that I am writing about the research design as I go through each data analysis stage and phase. I have found that my analytical lens and general analytical approach have changed as I have progressed through the data analysis and as I have reread the data several times. With this, I am not just writing and contributing towards the findings and discussion related chapters simultaneous to data analysis, but also various aspects of the research design chapter.
Trust me, this can be quite mind boggling. But for me, it’s an approach that works as I have always viewed little sense in writing the research design chapter before the data analysis began. I did attempt this before, but as I progressed through the data analysis I found that what I found was challenging what I thought, and continues to do so. It made sense for me from that point to write about the design as I progressed through the data analysis.
It was more than a couple of years or so ago that I started the qualitative journey after moving away from mixed methods approaches to investigating the phenomenon of interest. I suppose back then I was aware of the need for writing about the data itself and what I was to observe, but I had no idea that at the time I would effectively be writing about the research design AND the data observations and thematic development simultaneously but this is the way that my research appears to have been worked out.
Qualitative research is nuanced and there really is no set path towards the way you are to write your qualitative thesis! Plus do remember that it is an ongoing process: you cannot write about an observation once and then leave it. It’s a long running, complex, detailed, deep process of understanding and comprehending what it is you are observing.
'till next time, keep applying that pen to paper! Or hands to keyboard! Or both!
As mentioned in the previous blog post I am pretty much there with the coding scheme. That’s not to suggests that revisions and adjustments are not going to occur, but it is to suggest that I am in a happier place with the coding; I feel that the coding scheme now better represents the aims and objectives of the research. New codes and adjustments of the existing codes are likely to occur as I continue with the development of categories and themes and their verification and validation. Never ever hold anything as absolute and complete especially when you are engaged with qualitative research.
Along with refining the codes, etc. another task I am involved with is the rechecking of the coding of data characteristics. By this I mean, ensuring that the data segments have been interpreted consistently according to their characteristics, and coded accurately. There is a relationship here between interpreting consistently and coding accurately, because accurate coding can only arguably occur with consistent interpreting. A deeper question here, however, is to ask about the accuracy of interpretation, or, in what way data segments could be interpreted accurately and this is a challenging question, which I suspect is related to validation and verification. A part of this involves ensuring that the segments have been coded using the most appropriate code that best describes the activity expressed in the data segment.
I am also double checking what I call the “code memos.” These are theoretical memos, a concept from Grounded Theory, which documents my approach to developing the code, and explaining the meaning of the code, and why the code is most appropriate for each recorded data segment. All coded segments are placed in the code’s appropriate memo, and this assists with observing and documenting the capturing of variation within the code, and therefore, assists with understanding the variation of themes. These memos, therefore, shall come part of the identification and development of themes.
I have identified initial sets of themes and these themes have been / are continuing to be refined but this is a continuous process and will be for the foreseeable future.
The key is, it is my belief that my core ideas of the coding scheme are in place: I just need to validate and refine the codes as necessary. The refinement and checking of the coding scheme as explained in the previous blog post is ongoing.