How to Prepare Analysis for Dissertation?

Analysis for DissertationData analysis is the most important part of a dissertation. In the data analysis part of the dissertation, you will have to write the data that you have collected for the dissertation. You should also include an analysis of this data. The content of the analysis chapter should be comprehensive. The format of the analysis chapter should be appropriate. You should provide a detailed analysis of the data to support your point of view. The students should also present a detailed description of the research questions in the analysis chapter. To prepare the analysis chapter for your dissertation, you should follow these tips shared by dissertation writing services;

  • Collect The Relevant Data Only:

When we are going to collect the data for a dissertation, we gather enough data. All of that data is not useful for the dissertation. Now, we have to collect that data only which is relevant to the objectives of the dissertation. We can say that we should commence the data analysis process by keeping in mind the objectives of the dissertation. If you will write the irrelevant data in your dissertation, it will show the lack of focus and incoherence of thought.

  • Explain And Justify The Methods:

To gather the data for your dissertation, you will have to use appropriate methods. While analyzing the data for your dissertation, you will have to justify that these methods are appropriate. These methods should appropriate to the type of data and aims of the research. It means that you will have to show the readers that you have selected these methods after proper research and not haphazardly.

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  • Show Thoroughness:

While preparing the analysis for your dissertation, you will have to show your academic credibility. The best way to show your academic credibility is to acknowledge the strengths and limitations of the data. It will also increase the engagement and critical perspective of the readers. Most of the students do a mistake while conducting data by using qualitative research. They present the quotes without analyzing them thoroughly. Sometimes, these quotes are not relevant to the main theme of the dissertation. The students should try to present quotes after analyzing them thoroughly.

  • Make Use Of Appendix:

No doubt, you will have to spend enough time in collecting the data for your dissertation. Now, the problem is that you can present a limited amount of data in the data analysis chapter. If you will feel that your data analysis chapter is becoming cluttered, you can make use of the appendix. The appendix will allow you to present the data that you can’t organize in the main chapters of the dissertation. Here, you will have to keep in mind that this data should be relevant to the main theme of the dissertation. It means that you don’t need to present the irrelevant data in the appendix.

  • Be Careful While Discussing The Data:

After selecting the data to write in the data analysis, the next step is to discuss that data. While discussing the data, you will have to identify the trends, patterns and themes within the data. You should also consider the various interpretations of the data. You will have to present the data from various perspectives. While presenting the data from various perspectives, you should try to take an analysis of the pros and cons of the data. You should also assess the significance and impact of each quote in the data.

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  • Clearly State The Findings:

During the analysis of the data, some essential points will have emerged. These essential points are known as findings of the data. You should clearly state these findings in your dissertation. After clearly stating these findings, you should find clear assertions to support these findings. These assertions should consist of logical reasoning and empirical backing. If you can’t provide logical reasons in the support of a finding, you should not present it in your data analysis chapter.

  • Relate It With The Literature:

At the end of the data analysis chapter, you will have to relate your findings with the already published data. During this comparison, you should consider the points of agreement and difference. Before conducting the research, you will have to make some expectations from the data. You should also explain that either these findings are relevant to these expectations or you have gathered unexpected findings. Here, you can also discuss the reasons for these findings along with their implications. You should also explain the themes that you have identified while analyzing the data. The students should also try to find out the gaps in the data. While relating your findings with the existing research, you should make sure that this data should fit with the research questions.