All 2 entries tagged Emergence
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May 22, 2018
Emergent research designs are shaped by what you observe in your qualitative data. This can include part of the design, perhaps such as the methods that you use to analyse your data or holistic reconfigurations which can include your research questions and even research directions. This is what I am finding with my research design at the moment. I am finding that I am being drawn to characteristics and aspects of the data that are not likely to be captured by grounded theory, but I previously thought they could. I was wondering which methodological direction I could turn or perhaps use in addition to Grounded Theory. I found usefulness in graph theory or network analysis but this still, as far as I can currently understand, is not able to capture the characteristics that I really want to study and explore the most in relation to the phenomenon of interest and characteristics of that phenomenon. After thinking about this further and in conversation with my supervisor I returned to reading about a method I had previously read about but did not think was relevant, till now (plenty of this happening recently!) and that method is Discourse analysis.
Discourse analysis is a complex, fluid, flexible and adaptable set of ideas, competencies, approaches and methods suitable for the analysis of discourse and language use that can be situated with a variety of different theoretical and philosophical theories and ideologies. Because I have only just begun rereading the relevant literature and contextualise the literature within my own philosophical and theoretical frameworks, this blog post briefly sets out some of my initial thoughts of the definitions and philosophies of Discourse Analysis.
Thoughts about definitions
Discourse analysis is, unsurprisingly, the analysis of discourse and language that occurs in a variety of different contexts and situations. Unsurprisingly therefore, many authors of papers and textbooks note the difficulty in creating a universal definition of discourse because different contexts and situations creates different emphasise, types, structures and formations of discourse. Educational discourse, for example, would be different to political discourse, which in turn would be different to scientific discourse, and so on, not to mention there are many internal differences e.g., Educational discourse differs depending on the its purpose and context e.g., teacher-learner discourse is different to, say, student-student discourse. Teacher-learner discourse could be based on power relationships and acknowledgement of authority whilst student-student discourses could emphasise learner empowerment and the impact of democratic classrooms.
I am beginning to align with the perspective of Julianne Cheek where in a paper titled, “At the margins? Discourse Analysis and Qualitative Research” the author argues that to understand discourse analysis is to effectively understand our own theoretical and philosophical positions because discourse analysis can effectively be placed within any theoretical or philosophical orientation. Julianna Cheek situates discourse analysis within Foucauldian Theory, Post Structualism, and Post Modernism; therefore, the author situates their discussions and applications of discourse analysis within those theoretical frameworks.
A while ago I came to the point where I do not consider myself a post structuralist or post modernist in relation to my own views of the phenomenon of interest and I have further acknowledged this through disagreeing with a quote by an author named Parker who in 1992 suggests that all objects of reality and perhaps reality itself is created by our own discourses and language. I find this a little difficult to accept within Educational circles because in a social learning situation where learners disagree, the person who disagrees with another’s claim needs to present an alternative claim and, ideally, some sort of evidence. Where has this evidence come from? If this evidence has come from an external source then it cannot be possibly suggested (from my current understanding) that evidence is constructed by our discourses and language because this evidence has a real, external existence and would exist independent of our own ideas and awareness of it. What might be more correct to suggest, possibly, is that it is not evidence that is constructed by the learners but the discourse and language that is contained within and surrounds the use of this particular piece of evidence in relation to a claim being made within the context of, for example, challenging another claim. Here you have important questions such as what is the relationship between evidence and claim? What is the nature of the evidence? What is the nature of the claim? What is the nature of the relationship? In what way is the other claim being opposed? What are the discourse and language structures being applied? In what way do these differ from person to person and from context to context? It’s a complex field and that’s just a basic example, from what I can currently understand!
It’s quite an idea to get your head around: to best understand discourse analysis is to best understand your own philosophical ideas, because it is your philosophical frameworks, both ontological and epistemological, that determines the way in which you frame your qualitative data and your framing of the way in which discourse can be and shall be analysed.
As I have discussed on this blog, I align more with a realist ontology than a relativist ontology (I’ve also hinted towards this in the previous section) and therefore I have difficulties in accepting definitions of discourse that suggest that reality itself is constructed by our discourses and language. I am developing my arguments and critiques of this but it suffices to say currently that perhaps in some cases it is not that the object itself is created by our discourses and language, but it is the meaning and interpretations that we apply to an object that is constructed by our language and discourse but that doesn’t mean that our discourse reflects the reality of it and that doesn’t mean that each account is equally true.
Another observation I have made in the literature is that some authors associate discourse analysis with Social Constructionism. I have talked about Social Constructionism briefly previously on this blog, and what I have found with the previous readings of Social Constructionism is that it does not necessarily align itself with a relativist ontology as some authors attempt to make out (remember though that papers and textbooks are usually written to align with an author’s conceptions of reality) but that it is ontologically neutral. I have to reread the literature on Social Constructionism again but from what I can remember and what I can remember writing about it, Social constructionism as an epistemology can work with varieties of realism as well as relativism. Whichever Social Constructionism is situated ontological depends on you and your conceptualisations of reality.
The philosophical concerns of discourse analysis appear to be very open for debate and therefore there does not appear to be any universally acceptable definition or philosophical positioning of Discourse Analysis. This very much depends on the understanding that you have of yourself and your own philosophical positioning.
This is all work in progress but I do feel that there is a place for Discourse Analysis in my research as it aligns now with the way I have been observing and exploring the data and my observations of Grounded Theory being able to capture what I have been observing. Whether or not I keep Grounded Theory and Graph Theory approach, and whether or not this research is going to be multi-method or mixed methods, depends entirely on the way that I can use discourse analysis, and the way in which it can complement other approaches. A blog post shall be written either soon or sometime in the future about my initial thoughts of the methodological thoughts of discourse analysis.
It’s a complex field!
‘till next time!
April 04, 2018
Not only have I been stuffing my face full of Easter goodness (hot crossed buns and Easter eggs) but given that the newly added methods to my research design have been confirmed and accepted as being appropriate as a result of coming to know the phenomenon of interest in a way I had not previously considered, I have been rethinking the structure and process of my research design. This is particularly since this past weekend where I had the revelation that perhaps I should return to and re-evaluate the value, worth, role and purpose of combining qualitative and quantitative data within my project. A current task is therefore to think very diligently, carefully, strategically, and comprehensively about how qualitative and quantitative methods can analyse the data, and how qualitative and quantitative data can be combined or utilised in a way that can comprehensively describe and explain the phenomenon of interest unachievable by a single approach.
An Emergent Research Design?
What has struck me recently is that my research design can be characterised as emergent. The newly added methods and the possible re-evaluation of the methodological approach has emerged from further understanding of the data, further understanding of existing literature, and further understanding of the different types, structures, processes and outcomes of the phenomenon of interest. Further, these sources appear to triangulate to provide some sort of justification for what has emerged e.g., what I have observed in the data and the need to explore these observations further can be backed by existing literature, and both give rise to the need of the additional data analysis methods and perhaps a rethink of the methodology and research questions. This idea of an emergent research design appears to be a characteristic not just of grounded theory but qualitative research design more generally.
Essentially and I shall be writing more about this in the future, the research design emerges as the data analysis progresses with further readings as necessary to support the need for any emergent research design aspect. Where I am now with the research design and the inclusion of network analysis as a method has come from what I have observed in the data. In other words, the need for such a method has emerged from understanding the data, from observing particular patterns and trends, thinking carefully about the way these trends and patterns could be explored more comprehensively, and the potential value and worth their explorations might offer to the research.
Let’s take a brief journey in time to reflect on where I have been with the research design
The Journey of the Research Design so far
The Ph.D. research began prior to the Upgrade process as a mixed methods project, where mixed methods approach was introduced at the data collection level where the idea was to collect qualitative data from observations of the learning phenomenon and quantitative data from surveys. After a series of doubts started to creep in following the submission of the original Upgrade paper about the data collection methods and the context of the quantitative data collection and analysis aspect, and after discussions with the Upgrade member panel and the supervisor, the approach was dropped. The qualitative aspect was kept and therefore, grounded theory became the sole focus of the research design. Grounded theory became the methodology and its coding package became the methods of data analysis.
For many months after I began to downplay the relevance of mixed methods approach in my research and began to focus exclusively on learning about Grounded Theory and the way that I can utilise Grounded Theory within my research context, which again has been documented extensively throughout the previous year. I also began to realise and became aware of the complexity of my philosophical beliefs both at the ontological and epistemological levels though had not travelled down to the methodological and methods level because of my continued denial of the value of a mixed approach to understanding the phenomenon of interest. I did, however, later in the year and earlier this year seriously began to challenge the theoretical orientation of grounded theory and began to really believe that symbolic interactionism (the most common theoretical framework of grounded theory) was not compatible with the research context and began to search for other possible frameworks. Again this has been documented in earlier blog posts. I also began, through reading through more existing literature and the draft writing of earlier thesis chapters, to challenge my own understanding of the phenomenon of interest: the way I perceived it, the way I approached its exploration, and the way I could define it.
This led then to me challenging the way I had used grounded theory previously to analyse the data and I came across a startling thought: grounded theory could be used to recognise a central theme of the phenomenon of interest and theorise about the phenomenon around this theme, but I began to doubt grounded theory’s ability to theorise or hypothesise about the progress and process of the phenomenon of interest over a period of time. It was not, so I came to eventually realise, the central theme of the learning phenomenon that was the only product of the research that is of interest to me: it’s the way in which the learning phenomenon initiates and is sustained over a period of time. This I think is an area that is not addressed by grounded theory.
Where am I now with the Research Design?
Grounded Theory is still of interest and of importance to the research in terms of, from what I can currently understand, identifying a central theme to the phenomenon of interest, and to theorise about the phenomenon in accordance with this key theme. However, in what way do I explore the progress of the phenomenon of interest and the way in which this learning process can be sustained over time? This is where network analysis comes into play. But here is something else: I have always created diagrams and “networks,” if you will, about what is occurring in the data in order to help me understand what is going on in the data but I had not considered these diagrams as being somewhat of an independent data analysis method in their own right as I always thought of them as part of the grounded theory. But as I drew out more of these diagrams I began to realise that I was making observations and identifying trends that perhaps grounded theory on its own might not be able to explore to a substantial extent. At least, not to the extent that I am now interested in.
More significantly, I’ve very recently began to think about the way in which I could use these diagrams to further explore the phenomenon of interest through network analysis and the inclusion of quantitative analysis to test hypotheses and theoretical constructs that have and shall continue to emerge through grounded theory analysis. And therefore, a reintroduction of an old idea: the mixed methods approach!
And that shall be the topic of the next blog post!