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April 08, 2018
In the previous blog post I talked about the role and function of Open Coding, which is to label data segments with meaningful codes that summarise the content, features, characteristics, events and activities within that data segment and from these codes, develop categories and their properties and dimensions. Remember that categories are a collection of similar codes, with data segment characteristics represented as properties and dimensions. Open Coding from what I can understand is essentially descriptive where it attempts to describe the features and characteristics of data through coding and category development, and as argued by some authors, carries realist assumptions based on its use of constant comparative analysis. I did ask questions about where to go next following Open Coding, and now I think I have the answer.
I had my doubts about Axial Coding initially simply because of the challenges and criticisms against Axial Coding from various authors, who shall be engaged with on here at some point and especially in the thesis. But you should never adopt or reject an approach just because others have criticised it: you should instead adopt or reject an approach based on its relevance and suitability for your research project. As long as you justify and reason why (and why not) you have used (or have not used) particular design components and that they are aligned more generally with your philosophical and theoretical (if appropriate) assumptions then you are within your right to use any coding form.
I have now come to the idea that Axial Coding is the most sensible next step level of coding for my research. Open Coding then is that descriptive approach to developing categories; Axial Coding, therefore, is a more abstract means of coding that involves linking or relating categories together in order to better understand a process not through the views and experiences of those experiencing a process, but through exploring the process itself. Axial Coding is beginning to be understood therefore as a means of developing relationships between categories, and of developing relationships between a category and its own properties and dimensions.
During the process of redeveloping my understanding of Open Coding, conceptions of categories were formed: what a category is, what information should best be part of a category, and the guiding questions I have when developing a category further in terms of its properties and dimensions. I have noticed upon further reading that some of the questions I ask of a category, some of the questions align with the purpose of Axial Coding but that’s fine as some authors have stated that the thinking about relationships between categories and between a category and its own properties and dimensions occur during the Open Coding stage. As I recode the data I shall have additional questions though, and are based on the development of the relationships and they include: what forms a relationship? How can I identify a relationship? What is the content of this relationship? What are the features and characteristics of this relationship? What is the influence and impact of the context of the situation upon the relationship? Axial Coding, then, not only establishes relationships but also appears to acknowledge and consider the context of the relationship. For example, a relationship between two categories might differ between different contexts and this is important when exploring learning phenomena.
Although Axial Coding can establish and identify relationships between categories, properties and dimensions, it does not, as far as I can currently understand, produce an actual network of activities and events relating to the sustainability and on-going nature of social learning situations but it can provide the foundational understanding of what is occurring within a discussion through categories, dimensions and properties. However, it might be possible that a grounded theory’s relationship identification process and network diagrams and associated analysis attains a better understanding of certain social learning processes.
This is simple a try it out and find out approach, but from what I have drawn out in a presentation that I am producing for the topic it appears that this is the limitation of grounded theory and hence the introduction of a network analysis method and the interest in quantitatively analysing relationships but this is for another blog post.
In all, Axial Coding makes more sense to my research now if I view it as a means of relating categories, and to relate categories with their properties and dimensions. This makes sense to me because clearly defining relationships between categories and their dimensions and properties shall assist with understanding the complexity and highly nuanced existence of certain learning phenomena and provide a basis upon which I can build complex networks and be able to quantitatively analyse the relationships between these categories.
That’s the picture of Axial Coding for now!
‘till next time!