ESSAY

Dissertation data analysis

  • Omerist
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  • 07.12.2016 , 09:51

While a particular layout may be clear to you, ask yourself whether it will be equally clear to someone who is less familiar with your research. It is important that you acknowledge the limitations as well as the strengths of your data, as this shows academic credibility. This lies at the very heart of higher academia.

Top 10 Tips for Writing a Dissertation Data Analysis | Oxbridge Essays

We also offer Personal Statements and Oxbridge Editing services. We suggest that you do this for two reasons:. At this stage in the dissertation process, it is important, or at the very least, useful to think about the data analysis techniques you may apply to your data when it is collected.

When you come to analyse your data in STAGE NINE: Data analysis , you will need to think about a selecting the correct statistical tests to perform on your data, b running these tests on your data using a statistics package such as SPSS, and c learning how to interpret the output from such statistical tests so that you can answer your research questions or hypotheses.

Do not blindly follow the data you have collected; make sure your original research objectives inform which data does and does not make it into your analysis. It can be difficult to represent large volumes of data in intelligible ways. In order to address this problem, consider all possible means of presenting what you have collected. We suggest that you do this for two reasons: REASON A. The overarching aim is to identify significant patterns and trends in the data and display these findings meaningfully.

You may find your data analysis chapter becoming cluttered, yet feel yourself unwilling to cut down too heavily the data which you have spent such a long time collecting.

It is important that you acknowledge the limitations as well as the strengths of your data, as this shows academic credibility.

Top 10 Tips for Writing a Dissertation Data Analysis | Oxbridge Essays

As a result, you might think that running a particular statistical test is correct at this point of setting your research strategy e. These findings should be clearly stated, their assertions supported with tightly argued reasoning and empirical backing. It is important that you acknowledge the limitations as well as the strengths of your data, as this shows academic credibility. All data presented should be relevant and appropriate to your aims. You should explain and justify these methods with the same rigour with which your collection methods were justified.

Are your findings consistent with expectations, or do they make up a controversial or marginal position? This is not always the case, but if you have had to write a Dissertation Proposal or Ethics Proposal , there is sometimes an expectation that you explain the type of data analysis that you plan to carry out.

Believing it does is a particularly common mistake in qualitative studies, where students often present a selection of quotes and believe this to be sufficient it is not.