“The only people who see the whole picture are the ones who step outside the frame.”
-Salman Rushdie, The Ground Beneath Her Feet
There is nothing new about students getting overwhelmed by the research data collected by them and hence what they need is a good amount of analysis on the given topic. Let us discuss one of the most important parts of the dissertation here which is dissertation analysis.
Dissertation Analysis is a meticulous work focused on writing a given topic by analyzing it thoroughly. If you have identified certain underlying principles behind the dissertation writing, you can come up with a great paper.
There are some universities and academic institutions that expect a separate chapter for the data presentation and its complete analysis. You need to give a reason to involve the data shortlisted by you. Further, you need to validate that data and justify why you have used it in your research work.
A Few Basic Components are:
Table of Contents:
List of Figures/Tables/Illustrations:
Literature Review (a descriptive section with titles)
Research Design or the Methodologies Used:
Results or Presentation of Data:
Discussion (Analysis of Data)
Index or Glossary:
Writing a winning description takes an ample amount of time and effort. If you are not seeking the help of an expert dissertation writing service, given here are a few useful tips to write an analysis that would help you to get the perfect paper ready before the deadline.
Relevance of the Collected Data is Important:
There is no hard and fast rule that you have to bind to the data gathered. The aim of the analysis is to find out which data would be relevant and suits the aim of your research. Always remember that any amount of irrelevant data lacking focus and coherence is to be done away with. Relevance of the data is of utmost importance while scrutinizing your dissertation as it shows the readers that you have been focused all through. So, separate the useful data from a huge leap as you would encounter a lot of useful and indirectly relevant materials when you research.
A Thorough Analysis:
You need to be logical and reasonable. Be ready to explain the reason behind choosing the set of data you have shortlisted. It will validate your research work. You should use only the methods appropriate both to the data collected and the aims of the research. Always remember that you will be writing this important section of your dissertation. Justifying the data you have collected is as important as gathering it. You need to show your readers that nothing has been done haphazardly and only relevant data to your work has been gathered. Identify all the important trends and patterns to display them in your analysis.
Rigorous Statistical Analysis:
A scientific method of showing rigorous statistical analysis of the data collected by you is useful and it should be used for drawing conclusions from the data collected with ease. This is a better way to present your analysis.
Presenting Data in a Flow and Discuss the Limitation of Data Also:
It is true that data would not speak for itself. You need work for it but most of them do not. There are many students who just present some quotes and think that it is sufficient but actually it is not. You need to analyze all the data that you use for supporting or refuting your arguments. Take care not to acknowledge the strength of your data only; acknowledging its limitations will establish the credibility of your paper.
Discussion is an important part:
Discussion should be an important part of your research. This helps the readers get a view that the findings of the research have not been copied from anywhere. You can strike a conversation establishing co-relation of results of similar previous results with those of the recent ones. You will be able to identify patterns, themes, and trends, etc. in the data. You can consider the various theoretical interpretations so that the pros and cons of different perspectives can be balanced.
You can discuss the shortcomings, anomalies, inconsistencies and assess the significance of your research. If you choose to use interviews, you can include the representatives’ quotes.
If you have a large volume of data, you will consider all the possible means of presenting the data gathered. You can use charts, diagrams, quote, graphs, formulas, etc. Both quantitative and qualitative data are to be presented succinctly here in the analysis. Readers should be your priority while presenting data. Do not assume that if a particular layout is clear to you, it should be clear to all who are hardly familiar with your research. Tables are an excellent way of presenting data whether in a quantitative or qualitative manner.
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