Data Analysis Research Paper

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Consider various theoretical interpretations and balance the pros and cons of these different perspectives.The overarching aim is to identify significant patterns and trends in the data and display these findings meaningfully.Quantitative data, which is typical of scientific and technical research, and to some extent sociological and other disciplines, requires rigorous statistical analysis.In other words, it is important that you show the same level of scrutiny when it comes to the data you include as you did in the literature review.By telling the reader 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. It is important that you use methods appropriate both to the type of data collected and the aims of your research.It is important that you acknowledge the limitations as well as the strengths of your data, as this shows academic credibility.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.Charts, graphs, diagrams, quotes and formulae all provide unique advantages in certain situations.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.If data is relevant but hard to organise within the text, you might want to move it to an appendix.


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