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 to note that the aim of research utilising a qualitative approach is not to generate statistically representative or valid findings, but to uncover deeper, transferable knowledge. 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.
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 discussing your data, you will need to demonstrate a capacity to identify trends, patterns and themes within the data.
Consider various theoretical interpretations and balance the pros and cons of these different perspectives.
Many current data analysis techniques are beyond the reach of most managers and practitioners.
Obscure maths and daunting algorithms have created an impassable chasm for problem solvers and decision makers.Tables are another excellent way of presenting data, whether qualitative or quantitative, in a succinct manner.The key thing to keep in mind is that you should always keep your reader in mind when you present your data – not yourself.Towards the end of your data analysis, it is advisable to begin comparing your data with that published by other academics, considering points of agreement and difference. It is very important that you show this link clearly and explicitly.Are your findings consistent with expectations, or do they make up a controversial or marginal position? At this stage it is important to remember what, exactly, you said in your literature review. All data presented should be relevant and appropriate to your aims.Irrelevant data will indicate a lack of focus and incoherence of thought.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.IJDATS bridges three gaps: firstly, a gap between academic ivory tower and the real world; secondly, a gap between quantitative data analysis techniques and qualitative data analysis techniques; and finally, a gap between a specific technique and an overall strategy.The objectives of IJDATS are to promote discussions, deliberations and debates on different data analysis principles, architectures, techniques, methodologies, models, as well as the appropriate strategies and applications for various decision-making environments.