Usually do not blindly stick to the data you have got gathered; ensure your initial research goals inform which information does and doesn’t allow it to be into the analysis. All information presented should really be appropriate and relevant to your goals. Irrelevant data will indicate deficiencies in incoherence and focus of idea. Put another way, it is necessary 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 during the really heart of greater academia.
It’s important that you apply techniques appropriate both to the kind of information gathered in addition to aims of the research. You really need to explain and justify these procedures because of the exact same rigour with which your collection techniques had been justified. Keep in mind you will have to exhibit your reader which you didn’t select your technique haphazardly, rather reached it once the most suitable choice centered on extended research and critical thinking. The overarching aim is to spot significant habits and styles when you look at the data and display these findings meaningfully.
3. Quantitative work
Quantitative information, which can be typical of medical and technical research, and also to some degree sociological as well as other procedures, calls for rigorous statistical analysis. By collecting and analysing quantitative information, you’ll be able to attract conclusions which can be generalised beyond the test (let’s assume that it’s representative – which will be one of many basic checks to undertake in your analysis) up to a wider populace. Continue reading