Choose The Best Method For Your Data Analysis:
Some many methods and techniques can be used for data analysis. Choosing the correct approach is a difficult task. Software like SPSS or Excel is widely used by students in data analysis for their dissertations. These methods are a little tricky. You need to have a thorough understanding of the technique you will be used for data analysis in your dissertation. This is the first step in performing data analysis. If you commit any blunder here all your dissertation will be at risk. Different subjects need different methods. The method you use in Mathematics cannot be used in Biology. Consider and double-check all these things before choosing it.
Suitable Data:
This is the step most students create a mess in. They want to use more and more data. They think this will have a positive impact on the supervisor. But what happens is the opposite. They just uncritically use all the data for the dissertation. When you have gathered the data just sit and assess it. Check that which data is required for your dissertation. This is a sure thing that there will be a lot of data that is not even needed for data analysis. The reason is when we are working on collecting data we have no clue how much we need. There is a lot of vague and irrelevant data that we should exclude. Irrelevant data will only make your dissertation look unclear. This way your reader will think you didn’t understand the question. Only appropriate data should make it to data analysis.
Analysis:
this is an important subject that you should pay attention to. In this step, students are expected to write detail about the method or approach used to carry out data analysis. You should prove that all the data used in the dissertation is relevant. This step will show that you have not done your data analysis without proper investigation. You have taken the correct approach by using logical reasons. This is the step where you will convince your reader that you have selected that method rationally. You should perform a broad analysis of your collected data. You should not only tell readers about how precise your approach is. You should also accept limitations that may be in your data analysis. This makes your data analysis more convincing.
Qualitative Data & Quantitative Data:
There are two basic types of research approaches. These are either quantitative or qualitative. You have to carefully select the method you will adopt to perform data analysis for your dissertation. Quantitative data is more technical. It requires more accuracy. On the other hand, qualitative data is more common. But data needs a different kind of treatment. You should determine the approach that you will use in data analysis for your dissertation.
Presentation:
When you have gathered all the data you need to decide about the presentation. Most of the time, huge data is collected for the dissertation. This data is presented in charts, pie charts, diagrams, and tables. You should choose the method that can present your data in a precise way. If you fail to present your collected and analyzed data in a good way, it can waste your work. Pay attention to this step. Choose the best way that the reader can easily comprehend your data.
Findings:
This is the last and most important step in the analysis of data. You will discuss the strengths and weaknesses of your data here. You can discuss the resources and limiting factors of research in this step. Then after discussing all these things you will interpret your findings. Your findings should be based on logical reasoning. Your data analysis should complement the research question of the dissertation. If you can understand your data analysis and findings, then you have done it the right way.