The methodology chapter of the dissertation must tell the readers about the methods you have used for data analysis. Inform readers about how the primary data will be looking through and analyzed through various experiments and research discussed in this chapter. Data analysis is the process of transforming and re-modeling data with the vision of extracting something useful out of that specific data material. Data analysis is no doubt, the most crucial as well as an important part of any research. The data analysis the main purpose is to summarize collected data. Students are always advised not to delegate their data analysis part or consider very much who will be reading your data while writing this part. While working on the data analysis part of your dissertation check the research models that will guide your research and recognize the main points of research models. Dissertation data analysis always.
There are two types of data analysis; qualitative data analysis and quantitative data analysis. Both of these types are different. The qualitative data analysis used research, experiments and others etc in its methods. In qualitative, critical analyses of data takes place to achieve research goals. The quantitative data analyses along with critical analyses involve figure and numbers for the reasons behind the main findings. For both of the types, a literature review is important.
The data analyses which has non-numeric information for example notes, videos and audios, images and written documents are called qualitative data analyses. Qualitative data analyses have following categories to it including:
The ultimate technique of converting the data into a numeric form, which involves many techniques and major challenging of converting the whole data into knowledge, is called quantitative data analysis. There are stages of quantitative data analysis and that are
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