What To Put In The Discussion Of A Research Paper

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That is the main point of your discussion section, but the process is usually a lot more complex than that.

It is rarely clear-cut, and you will need to interpret your findings.

Make sure to not make the discussion confusing by introducing any new result in the discussion. Although readers of your field would probably be conversant with the jargon, minimize use of jargon to make your paper accessible to the broader audience and to enable a larger impact.

In a nutshell, remember that the primary goal of the discussion section is to accentuate your results.

Rather, swiftly transition into what they mean and their impact.

I mentioned about giving your results their proper due and underscoring their significance.Be sure to advocate for your findings and underline how your results significantly in move the field forward.Remember to make sure you give your results their due and not undermine them.Describe very briefly the conclusion from your results, and then say what it means with respect to what is already known.Do not forget to emphasize how your results support or refute the current hypotheses in the field, if any.Now that we have talked about important features that the discussion section holds, here are a few pointers about things to avoid while you write your discussion.– You can open the discussion with a sentence that contains a snapshot about the main conclusion, but make sure you stop right there!You have already written a separate “results” section, so do not repeat yourself by describing your results again.You also need to zero in on how your work will move the field forward and the questions that remain.Unlike the abstract, it does not have a broad readership per se, but is written for the people who are both beginners to that particular area of science and experts of the same.This is also a good place to address if your data conflict with what is established in the field.By addressing these conflicts, scientists in your field will re-examine and rebuild hypotheses/models to then test.


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