Things To Know About Dissertation Data Analysis And Discussion Section


One of the longest parts of your dissertation will be data analysis and discussion section. It’s essential for a successful presentation, so a lot of attention should be paid to preparing it properly. It can be composed as a one section, but you also may like to divide it into two separate parts. Just follow the rules provided by your university to make the right decision on this point.

Important Guidelines for Dissertation Data Analysis

First of all, your analysis should include only the relevant data, corresponding your topic and the research goals. Methods of analysis must be chosen thoroughly as well – not only taking into account your aims, but also the type of data collected. Don’t forget to use visual tools in your analysis section if appropriate – i.e., diagrams, tables, charts, and graphs. This will improve your presentation.

There are three main types of data analysis: experimental, quantitative and qualitative. Each of them should be analyzed in a special way, the most suitable for this type.

  • Experimental study.
  • In this type of data analysis, the methods of data collection must be justified strongly. Make it clear why the chosen methods are the best and empower your claims with the corresponding references. The results presented should include the most interesting data that support the derived conclusions obviously. However, negative results should be described and explained as well. Point out the most meaningful conclusions.

  • Quantitative/survey study.
  • Describe the relevant data and explain why it is important for the survey. Highlight the significant trends, comparisons, features etc. State clearly, whether your hypothesis was confirmed, partially confirmed or refuted. Illustrate it with some suitable data.

  • Qualitative study.
  • Such kind of study usually requires data analysis expressed in words only. Thus, the structure is highly important. This type of section may include subsections with separate headings, which will provide easy navigation for readers.

Main Tips to Remember About Data Discussion

  • Justify your approach for data analysis extensively. Make obvious its advantages both for the type of your research work and for the topic you’ve chosen.
  • Highlight the main themes, trends and patterns represented by the data. Evaluate it from the theoretical point of view.
  • Compare the results of your dissertation with the existing studies on the topic. Do they correlate or not? What are the similarities and the differences? What new insights for the further study did you manage to get?
  • Point out all important findings you’ve made. Prove their originality and importance with the relevant evidence derived from your collected data.
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