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Dissertation Writing: Data Analysis & Gathering Tips

A professionally written dissertation is a work of both science and art. This paper covers both data presentation accuracy and critical thinking with the help of methods of scientific research. In order to complete a high quality dissertation, data analysis and data collection are of a great importance.

 

Collection of Data

Data gathering is the task of great importance in dissertation writing. In order to collect solid and reliable material you as the dissertation author should make use of some definite process and methods. In order to collect relevant facts and data, you have to complete a literature review analysis that allows you to collect the defined and proved facts about the problem and research issue.

 

There are many quantitative and qualitative research methods, for instance, interviews, case study analysis, self-administrated questionnaire, observation, etc. All the methods mentioned before are beneficial to gather both secondary and primary data for the research. In order to choose the most suitable research method to collect information and data, you, as the researcher, have to make use of philosophy and research paradigm. Thus, it will be way easier for you to connect the problem of the research with the research objectives and choose adequate method of research.

 

Availing research paradigm, you can always make use of valid arguments and solid facts by suing your personal critical thinking. Therefore, to collect relevant data it is important to use the most suitable research methodology or its combination, for instance, case study analysis together with the questionnaire throughout the survey, etc. In addition, a researcher has to use a specific approach such as realistic, positivism and interpretive to gather information and data. Thanks to all these approaches the researcher has an opportunity to gather reliable and valid data. Moreover, inductive and deductive approach is also crucial to analyze information and data. And the deceptive approach helps out the researcher to observe data in order to fulfil the hypotheses, while according to inductive research approach, the researcher should process some particular concept to a general one to collect data.

 

Gathered Data Analysis

Data and information analysis should be pretty accurate to provide the most reliable dissertation result. To analyze information and data first, a researcher has to make use of thematic framework analysis. The approach allows you to cope with conceptual data in the easiest way. By means of this framework the researchers have a chance to generate a form of qualitative structure by making use of various codes for different information and data. These codes have to be developed by making use of policy documents, filed notes, video footage and interview records.

 

In order to provide an effective data analysis, you have to avail reading/re-reading process. Written records preparation is crucial to get fair knowledge. It is important for the researcher to prepare a different theme for different facts in the data analysis process. In order to finish off with quantitative results, you, as the researcher, have to utilize statistical method, while the results of qualitative nature can be presented with the thematic analysis help. Both statistical and thematic analyses help you to concentrate on social and psychological data interpretation.

 

To reduce the data complexity, it is highly important for the paper researcher to breakdown every data into statically different process. In the data evaluation process, it is also essential for you to utilize graphical and tabular presentation. The process of data analysis should be used in order to set up a relationship between the research objectives and research question.

 

In order to gather and analyse the data you have to make use of some research paradigm and approach. In addition, some research thematic framework and methodologies should be executed too. To match the objectives of the research with its problem and to evaluate the data in an effective manner, tabular and graphical presentation should be utilized along with statistical method.



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