The Discussion section is more open than the Results and Methods section, but you should always focus first on what is MOST important and then move to what is less important to your research problem.
Divide the analysis of results by paragraph and do not combine unrelated datasets in one paragraph The Conclusion offers you a chance to briefly show how your work advances the field from the present state of knowledge.
It requires more than a simply analysis—you have to interpret and “sell” your data to the journal and researchers, explaining just how important your findings are.
In fact, many manuscripts are rejected because the Discussion section is weak.
As such, they are critical to the evolution of modern science, in which the work of one scientist builds upon that of others.
To reach their goal, papers must aim to inform, not impress.The reason for this is because you will not be changing or adding to these sections after you have evaluated your research—they represent the core data of your study.Most likely, your research paper will use some figures, tables, or other graphics—they are also core data because they are usually numbers representing your findings and methods used.We won’t go into the details of how to prepare these here, but in the Results section we will go over how to write captions for the figures based on the data and research questions.For a detailed explanation of preparing and formatting figures, check out these sites (every journal will have their own formatting guidelines): Write the Results in the same order as you wrote your Methods.And to do this, researchers must publish their work in journals.Strong writing is key to making your research more accessible and powerful, and therefore this presentation is not about the rigors of research, but the demands of research writing.This takes a completely different skillset than essay writing or sending emails to your professors and friends, and therefore it is a good idea for every researcher to keep learning how to improve research writing.Research is about more than just the scientific principles and discoveries you are making—it is about sharing these discoveries with fellow researchers and with the public.This section responds to the question “What do the results mean?” This section is easy to write, but difficult to write well.