How to write a data analysis of a dissertation?

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Feb 5, 2018, 7:03:51 AM2/5/18

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The dissertation data analysis is like the main theme of a story. It is the focus point of the research. This step comes after research methodology. The type of research methodology is qualitative or quantitative. In rare cases it is a combination of both.

There are a great number of ways to write a sample data analysis. Oral history and marketing make use of interview data method. The basis of data collection and analysis of the information is also interview data method. The results of these two cases are different. This is because the topics and requirements for both of these cases are entirely different.

There are different outcomes of thesis of experimental studies. In all the researches the bases of the results are:

All the questions or hypotheses in the thesis are reliable.

There is a need to decide and explain the research methodology and theoretical framework in advance.

In a sample dissertation data analysis the detail of the data is in a good connection with the relevant theories and other valid information.There are three types of sample dissertation data analysis. They are qualitative, quantitative and experimental studies.

1. Qualitative data analysis

Qualitative information consists of words and sentences. For the better understanding of the reader write complete detail of relevant paragraphs. This provides you with the selection of appropriate words with clear meanings.

2. Quantitative data analysis

Quantitative information consists of data in the form of numbers and figures. In this case pre-defined guidelines are there for data presentation and summarization of statistical analysis of data. Still there is a need to present the data in an organized way like,

· Description of the topic

· Define the question or hypothesis that needs explanation

· Explain the proposed results of gathered data

· Define the main differences and similarities

· Show the significant trends and possible contrasts

· Tell about the status of hypothesis, proved, not proved or partially proved.

3. Experimental data analysis

Experimental information consists of data in the form of diagrams, graphs and tables. The data is also in the form of words and figures. Readers cannot get a clear picture from just tables or graphs. So it advisable to present the data in the form of words. This leaves no ambiguity.We use words for the:

· Explanation of reason of the research

· Explanation of the data sources

· Presentation of the results, including some interesting happenings while gathering information

· Complete explanation of the negative results too, if any.

· Clarify the process of experimentation that will add meanings to the results

· Indication of important results

· Making of significant comparisons

· Making of instant results

In all the types of data analyses structure has its own importance. It must include portions with headings and sub headings to reflect the thematic analysis of information. In a sample data analysis, all the material is relevant and sequential. The language in the data analysis is always simple so that the reader understands it easily.