Data analysis for dissertation is compulsory section for every paper. It shows the supervisor that you collected data, analyzed it, understood it, and are now ready to elaborate it to your reader. What tips should you follow when compiling your bilingual teaching thesis?
Identify the data that will add value to your objectives or paper. The data you present must be relevant to your objectives. Including irrelevant data makes your paper to appear incoherent and lacking in focus. The presentation you make based on the data you analyzed with show the reader that you critically thought through the results.
The methods used must be appropriate for your objectives and the data you have gathered. Thesis Data Analysis methods must be detailed and justified like collection methods were. This shows the reader that your choices were not haphazard or chosen because they sounded easy. This gives confidence to the reader that the results presented are as a result of critical thinking.
The purpose of analysis it to give meaning to figures. Data will never speak until it is interpreted. Identify the data that is relevant to your study and thoroughly analyze it. This seals all the loopholes that can be used to disparage your findings. It also enables you to provide a satisfactory answer to your objectives and questions. It is from in depth analysis that you get more insight into what is on the ground and compare that with your hypothesis. To enhance the credibility of your work, acknowledge that your research has limitations.
To achieve the objectives of data analysis, thesis questions must be answered. This will only happen if the data analyzed is relevant, the appropriate methods are used and your analysis is thorough. Without these considerations, you will present a weak case that might not pass the rigorous scrutiny involved.