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Determine the relevance of your dissertation data. It is not advisable to just follow your collected data blindly, without ensuring that your research aims provide direction whether your data is suitable for the analysis process
Ensure that the analysis of your data is well directed. When it comes to the type of data you’ve collected as well as the objectives of your research, ensure that you’ve applied the required analytical tools and methods.
Ensure thoroughness in your dissertation data analysis. When you’ve gathered data, you should know that data do not speak on its behalf. You should thoroughly analyze your dissertation data, to support your position in academics.
Choose the best data presentational tools. If you have very large amounts of data, you need to have a strategic way of presenting the data you have collected. You may use charts, graphs, quotes, diagrams and formulae among others.
Make sure that your dissertation data analysis discussions are elaborate. When discussing your data, it’s required of you to demonstrate the capacity to recognize patterns, trends, and themes in the data you’ve analyzed.
Ensure clarity of findings after your data analysis. You need to keenly spell out the main and essential points that may emerge after analyzing your data. It’s necessary for you to clearly state your findings for easy comprehension of the analysis process.
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- Explain the purpose of the study, how the data was collected and the tools used
- Give the original data and the discussion of the analysis performed.
- Describe research questions and the insights drawn from the analysis to each question.
- Summarize the explanations for the whole data analysis chapter.
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