Usually do not blindly stick to the information you have got gathered; ensure that your initial research goals inform which information does and doesn’t allow it to be to your analysis. All information presented must be appropriate and relevant to your goals. Irrelevant data will suggest deficiencies in incoherence and focus of idea. This means, it’s important as you did in the literature review that you show the same level of scrutiny when it comes to the data you include. The academic reasoning behind your data selection and analysis, you show that you are able to think critically and get to the core of an issue by telling the reader. This lies in the heart that is very of academia.
It is necessary that you apply techniques appropriate both to the sort of information gathered plus the aims of the research. You need to explain and justify these procedures using the exact same rigour with which your collection techniques had been justified. Keep in mind as the best choice based on prolonged research and critical reasoning that you always have to show the reader that you didn’t choose your method haphazardly, rather arrived at it. The aim that is overarching to recognize significant habits and styles within the data and display these findings meaningfully.
3. Quantitative work
Quantitative information, which will be typical of systematic and technical research, and also to some degree sociological as well as other procedures, requires rigorous analytical analysis. By collecting and analysing quantitative data, it will be possible to attract conclusions that may be generalised beyond the test (let’s assume that it really is representative – that will be among the fundamental checks to undertake in your analysis) to a wider populace. Read more →