The second part of the evaluation cycle the theory analysis phase is about interpreting the results from your data collection. You can employ a variety of analytical techniques to make sense of the data you’ve collected, such as quantitative and quality methods.
Depending on the type and the extent of your assessment It is possible to look for patterns or themes that you see in your data. You might also wish to find connections between various items. The process of analysis involves sorting, coding, and connecting your data to existing theories and concepts, and it involves interpreting the information you’ve uncovered in your data.
In the case of conducting a qualitative assessment of participants in a particular program, for example, you can use a grounded theory to guide your analysis and develop a theoretical construction from your data. GT is a research method that allows you to uncover theories by constantly interfacing with data collection and analyses. The GT process typically involves open https://notesjungle.com/theory-analysis-in-data-evaluation/ coding to identify interesting patterns in the data; axial coding to identify the connections between phenomena and selective coding where you choose a central category to keep the ideas that are emerging together.
The fundamental category is an amalgamation of all the emerging phenomena and can be one concept or a collection of related concepts. The concept chosen is examined against a theoretical framework, and fit is assessed through iterative comparisons of incidents to the selected concept. At this point, memos are kept to keep track of and think about the emerging ideas.