All data presented should be relevant and appropriate to your aims.Irrelevant data will indicate a lack of focus and incoherence of thought.
All data presented should be relevant and appropriate to your aims.
The overarching aim is to identify significant patterns and trends in the data and display these findings meaningfully.
Quantitative data, which is typical of scientific and technical research, and to some extent sociological and other disciplines, requires rigorous statistical analysis.
You have to learn various ways through which you can get a top notch samples to help you compose your paper in the best way possible. Take a careful look of the below and they will be of help to you as you develop your research paper.
Do not blindly follow the data you have collected; make sure your original research objectives inform which data does and does not make it into your analysis.
In discussing your data, you will need to demonstrate a capacity to identify trends, patterns and themes within the data.
Consider various theoretical interpretations and balance the pros and cons of these different perspectives.
It is important that you acknowledge the limitations as well as the strengths of your data, as this shows academic credibility.
It can be difficult to represent large volumes of data in intelligible ways.
While a particular layout may be clear to you, ask yourself whether it will be equally clear to someone who is less familiar with your research.
Quite often the answer will be “no,” at least for your first draft, and you may need to rethink your presentation.