The theory analysis process involves analysing the concepts that are resulted from your data. This is an iterative process that requires flexibility because it is impossible to predict the amount of data you’ll need to collect ahead of time. Researchers who make use of grounded theory (GT) continuously study and collect new data until they reach theoretical saturated, or the point where new data does not contribute to their developing theory.
The initial step of GT is to identify the themes that are repeated through an in-depth analysis of the data. These themes are coded and categorized through relationship identification. This is the basis of GT analysis. It is referred to as open-coding. Researchers then employ a method of constant comparison and memoing to create substantive codes or establish connections between concepts. This helps create an integrated theory by placing fragmented concepts back together to form hypotheses that work. Concepts are then woven into www.notesjungle.com/theory-analysis-in-data-evaluation these hypotheses via an axial code.
After the researcher has identified or has tentatively identified a central or core variable, they selectively take samples of new data to keep this variable in their mind or conduct the process of theoretical sampling. This method limits the scope of the research and focuses the analysis only on the relevant aspects to the study.
A theory can be helpful not only in the field of research but also as an instrument to help you make sense of your data and compare and contrast various aspects. This is a crucial aspect of GT analysis and should be included along with your concepts and coding techniques in your methodology section.