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Theory analysis is the process of looking at the concepts that emerge from your data. This is an iterative, flexible process since it’s difficult to know how much data you’ll require in advance. The objective is to gather data and analyze it until you attain theoretical saturation.
In qualitative research methods, such as grounded theory, the examination of theories starts with thematic analyses. This involves finding recurring themes by carefully reviewing every part of the data and observing the patterns that are consistent. Once these initial themes are identified, coding can be used to organize the ideas emerging and to identify the connections between various parts of the information. This step is particularly important in GT because it allows for a more, more nuanced understanding of the data by highlighting a range of aspects of a particular theme.
The constant comparative method of grounded theory is used after the thematic analysis to refine and develop ideas. This iterative process helps to ensure that the theory is well-rooted in the data and offers fresh insights in comparison to prior research.
In addition to ensuring the theory is actually valid, it is important to determine whether or not there is any causal relationship between the variables in the data set. This can be challenging since the process of establishing a causal connection requires a thorough understanding of the field and existing literature. It is also necessary to conduct a rigorous data analysis in order to ensure that all possible causes and effects have been taken into consideration.
