The first step is to clarify for yourself what you know now, as a result of your research. You could try highlighting key words, or identifying any points that need further investigation.
David Evans and Paul Gruba (2002, p.112) remind us that our minds continue to work on problems when we aren't thinking about them consciously. The challenge for every thesis writer is to hold the detail of the data in focus without losing sight of the big picture of the research.
There are generally accepted guidelines for presenting the results of statistical analyses of data about populations or groups of people, plants or animals.
It is important that the results be presented in an informative way.
If you have nothing to write, write 'I have nothing to write'. It probably won’t produce text you can use in your thesis, but it might help to clarify your ideas and show you ways to structure your argument. For some fields of study, the presentation and discussion of findings follows established conventions; for others, the researcher’s argument determines the structure.
Therefore it is important for you to investigate the conventions of your own discipline, by looking at journal articles and theses.
This section is concerned with presenting the analysis of the results of data analysis.
There is a great deal of disciplinary variation in the presentation of findings.
Every thesis writer has to present and discuss the results of their inquiry.
In these pages we consider these two activities separately, while recognising that in many kinds of thesis they will be integrated.