Quantitative data may be presented either as full statements of the results obtained or in summary form. It is likely that the full results would be set out in appendices to the main dissertation, since the reader will not need to refer to the totality of the data. In all cases you have the choice of presenting the data as either:

¨ tables of figures - in which case the data should be logically ordered into categories and groups, and set out in a way which clearly shows relationships or significance as appropriate to your needs; or

¨ charts - graphs, pie charts, bar charts, scatter diagrams, etc. These display information in a form which is much easier to grasp for the reader than large tables of figures. They are, then, preferable - particularly for summaries of results. Most computer packages have quite sophisticated charting options, so all you have to do is to input the figures and choose an appropriate form of graphical presentation.

However, do not be tempted to simply produce large numbers of tables and charts and expect the reader to interpret them. It is better to be selective, and carefully explain the importance of key findings.

Finally, you should note that your analysis of the data constitutes the primary evidence on which your research findings will be based. It is important to draw conclusions from the data, not to fit the data to the desired conclusions. Your analysis and the development of your argument must the rooted firmly in the evidence of the quantitative data you have obtained.