The second stage, called theory analysis, is about interpreting your data. You can employ a variety analytical techniques to make sense of the data you have collected, which includes qualitative and quality methods.

Depending on the nature and scope of your analysis It is possible to identify themes or patterns that are repeated in your data. You might also wish to search for connections between different elements. The process of analysis involves sorting, coding and connecting your data to existing theories and concepts. It also is also about understanding what you’re discovering in your data.

If you are conducting a qualitative analysis of participants in a particular program, for example you can employ a grounded theory to guide your analysis and develop a theoretical construction from your data. GT is a method of study which allows you to explore theories by constantly interacting between the collection of data and the analysis. The GT process involves https://notesjungle.com/theory-analysis-in-data-evaluation/ open Coding, which is used to uncover interesting patterns within the data. Axial coding, which detects the connections between phenomena, and selective coding to bring the new ideas together.

The most fundamental category is an amalgamation of all the new phenomena and can be an entire concept or a set of related concepts. The chosen idea is compared to a theoretical concept and the fit is assessed by iteratively comparing incidents to the conceptual. During this stage, memos are kept to record and think about the emerging ideas.