One of the biggest challenges in the process of completing a thesis with data analysis involved in its the prospect of submitting it to the supervisor and having it approved. Many aspirants have to go through the trauma of getting a data study rejected and they very often have to start again from scratch. Here are a number of ways in which you can ensure that your data analysis will not get rejected by your supervisor.
Know what your supervisor expects: It may sound too generic as a statement when it is put in reference with a data analysis study, but it is important to gauge what your supervisor expects from the study. From a constant watch over the pattern of remarks and the way in which the supervisor guides you with your draft of study, you need to extract what the supervisor wants from your study and work accordingly.
Be prepared with answers: When you frame a data analysis questionnaire, your supervisor may feel the need to understand your ideas on how you will go about getting your answers and what compelled you to frame the questions. Make sure that the material you submit as a draft is justifiable and be ready with the answers. If you are sure about your data analysis questions, you may be winning with your analysis on the whole.
Capture the technical essence: When you embark on a data analysis journey, make sure you remain constantly attached to the technical aspect of the study. You will be questioned on the ways in which the study is made and the catalysts of study that you are using, if you are sure about the analysis methods that you will be using, you may have won half the battle with the supervisor.
Knowing what will click with the supervisor to have your data analysis approved is extremely essential in order to stay ahead in the race of creating your study. With the right methods and an impeccable preparation, you will be able to make a mark in your study and make sure that your supervisor approves of it.