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They use new qualitative instruments such as narrative interviews and focus groups to gather and process primary data.
For example, if it is a quantitative study, you will need to include the results of your calculations.
If it is a qualitative study, then you will have to provide evidence from interviews or quote your field notes.
Just make sure that you summarize the most important results and analyze them meticulously. Their number should not exceed 20-22 for the whole dissertation.
If you are writing your project for a commercial enterprise or a company, you may also include some useful company data.
Make sure that your data analysis section is not overloaded with unnecessary information that may bore your readers.
Moreover, if you fail to consider the needs and academic level of your target audience, you will not be able to produce a great piece of dissertation writing.You will have to decide how much detail you want to include in the body of your dissertation and how much of it will become an Appendix.Speaking of quantitative data analysis techniques, you will certainly need to use graphic illustrations in the form of charts, graphs, diagrams, and so on.Data analysis is a separate chapter of your dissertation project in which you analyze the data retrieved from your experiment or research.If you use quantitative methods of analysis, then you will need to present numerical data.It is quite possible that your dissertation project will rely on qualitative analyses.Contemporary researchers enjoy the benefits of qualitative designs.These are just some of the basic conventions you may follow when crafting your data analysis section.We provide you with a possibility to save your time and spend it on the things which are more important for you right now.In any case, quantitative and qualitative data must be analyzed according to the goals and questions posed by the researcher.For example, you have three research questions that need to be answered as part of your study.