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             The trick is to be completely open about the evidence against you and to deal with
            it step by step in a logical manner. In the example above, this logic is highlighted by
            having separate paragraphs for each element of the author’s argumentation.

              Link words (e.g.  thus, in fact ) are also very helpful in constructing this logic. Note
            how when describing the evidence against H1 and H2, the author uses  however  and
              moreover. However  is often used to diminish the importance or to question the impli-
            cations of what has been said before, and is thus perfect in this situation. There is a

            difference between  moreover  (used at the end of the first paragraph) and  in addition
            (end of third paragraph). Both are used to add additional information in support of
            what has been previously said, but  moreover  is sometimes used to add a further nega-
            tive factor, whereas  in addition  tends to be used to add a further positive factor.

              Here is another example to highlight the difference between  moreover  and  in
            addition :

                This paper is written badly, moreover much of the data is inaccurate.

                This paper is extremely well written. In addition, the method is very innovative.





            8.17   Beware of overstating your project’s achievements

                  and signifi cance
              This chapter has been all about highlighting your fi ndings so that readers can both
            physically see them on the page and also appreciate their significance. But no

            research, study or project is perfect. You need to be explicit not just about the
            strengths of your work, but also the weaknesses and potential for bias (e.g. in your
            selection and sampling procedures).

              Particularly in the Discussion you should purposively offer alternative explanations
            that take into account any potential for bias or limitations in your methodology and
            in the interpretation of your results. Such insights into these areas will be seen by
            the referee and readers as a sign of the quality of your research.

              On the other hand, if it seems you are overstating the meaning of what you have
            found, the referee may suspect you of research bias. This may mean that your paper
            will be initially rejected.
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