How to Work on Data Processing for Dissertation Conclusion Writing

Dissertation Conclusion Writing

Introduction

After so many nightmares and hurdles, are you finally at the end of your dissertation? Do not forget this is not the end of those bad dreams if you are. Dissertation conclusion writing is waiting for you at the end of the road. It requires thorough data analysis and much of your precious time. It is not easy to summarise all the information in a page or two that is expanded to hundreds of pages. However, you can conclude your dissertation well with proper guidelines and rules to follow.

The base of the dissertation conclusion is the data. The presentation of all the key data in the conclusion section is also very hectic. Keeping this in view, let’s start our discussion here at Mogul Valley with the following very basic query:

How do you present data in a dissertation?

The presentation of the data matters a lot in a dissertation. It should be easy to understand by your audience, whether it is qualitative or quantitative. It may not be easy to make a layout in the collection phase. When you have all the analytics before you during dissertation conclusion writing, you can understandably present data. A brief description of different ways to present data is as follows:

Graphs, charts and lines

The pictorial representation is way more effective than lengthy texts. The graphs and charts are the best way to present the dissertation data. They are easy to interpret and understand by most of the public. Even the non-academic audience can also comprehend the trends of a graph. The description of these methods is below:

  • Pie charts are circle-based charts that represent percentages of different things. Do not use a pie chart of more than eight segments. A pie chart with more than this limit often creates confusion among the percentages.
  • Bar charts show the comparison of different types of data. It also follows the same rule regarding clarity of the data, i.e., do not use too many entries that can make things unclear. You must not skew the chart far enough to match the unmatching points. It is a bad practice in dissertation conclusion writing.
  • Line graphs depict how things have changed concerning some parameters. This parameter can be time or any other thing. You should label the lines on the chart itself rather than a key for clarity.
  • Histograms use a continuous scale to show the dissertation data. It is the main difference between histogram and bar chart. The bars touch one another to show some links. For example, it may be data like ages, say 5–10 years, 11–15 years, 16–20 years, and so on.
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How do you write a data analysis for a dissertation?

Dissertation conclusion writing is all about data analysis. The conclusion is the crux of the research. It does not contain anything new but an analysis of the data collected. In case of any issue, you can get dissertation conclusion help from the best writers. However, to effectively write data analysis on your own, you must consider the below-mentioned essentials:

Relevance

Relevance is a very important point that every researcher must keep in their mind at every moment. Data with no relevance to the research objective is useless. If the data is useless, there is no point in analysing it. Therefore, while writing data analysis, you must consider the relevance of your research with research objectives. The data must directly address the research questions.

Thoroughness

Next up is the completeness and thoroughness of the data. You must thoroughly assess all the data and leave nothing behind. The data never speaks for itself, but its analysis does. The analysis uncovers the hidden truths of the data. Therefore, you must thoroughly analyse all the data you want to support your research. One more thing, there should not be a factor of biasness in the analysis.

Consider presentational ways

In qualitative research, the researchers cannot analyse large volumes of data. In such cases, it is better to use some kind of presentational ways such as graphs, charts and lines. The flow diagrams can also help a lot in dissertation conclusion writing.

Thus, as a researcher, you must consider these ways to write data analysis of a dissertation. They will prove to be very helpful.

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How do you write a good conclusion for a dissertation?

Writing a good conclusion is considered a hectic job in dissertation conclusion writing. It is not due to its length and width. It happens because of its complexities and difficulties. Summarising a dissertation of around one hundred pages in two to three pages seems daunting. You need to have extraordinary analytical and presentation skills to do this. However, there are some points following which you can write a good conclusion. A brief description of those points is given below:

  • The conclusion must directly relate to the research questions. It should discuss them once more and present the findings in light of those queries.
  • After an explanation of the research questions, summarise the whole study. Reflecting on the main findings and results help you in this. An important thing to note is that do not write the summary of each chapter. The objective is to recap the whole work, not each chapter.
  • Recommendations are also a very crucial part of a dissertation. There must be a description of recommendations based on the dissertation results. It is also termed as putting the research into practice.
  • Also, you must emphasise your contributions to the study. A dissertation is original research; therefore, you should take the credit for it as much as possible. In the end, write the conclusion by keeping these things in mind.

Conclusion

The guidelines provided above about data analysis and presentation are very helpful for dissertations. You can employ those in dissertation conclusion writing. Relevance is a very important point in concluding a dissertation. Thus, always consider the relevance and connect the dissertation data with research questions.

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