Data Analysis Methods

The selection of data analysis method is an important aspect to achieve the research aim an objectives successfully. There are several methods, which could be used by a researcher to analyze the data obtained through the different data collection methods.

The use of SPSS tools, statistical analysis, thematic analysis, text analysis is some of the methods that are used as per the needs and demand of the research objectives and research data. It is the aspect, which requires an in-depth understanding and consideration over the methods as it is the base to provide findings of the research. Each method of data analysis presents the data in different way, which could raise the different interpretation for same data. It would reduce the ability of researcher to explore the research problem significantly.

Use of SPSS tools helps the researcher to present the findings in quantitative manner, which increases understanding about the research results. The use of this method requires more information from the quantitative methods. On the other hand, use of thematic analysis method to analyze data requires fewer amounts of quantitative data in the comparison of SPSS method. In this method, themes are presented to analyze the pre and post research conditions, which help to determine what exactly is achieved from the study.

The text analysis is the simplest form of data analysis, which is beneficial for the qualitative researches. It presents the data in the form of graphs and tables, which is significant to improve the research effectiveness and reliability.

Importance of Data Analysis in Research

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Data analysis is a process used to transform, remodel and revise certain information (data) with a view to reach to a certain conclusion for a given situation or problem. Data analysis can be done by different methods as according to the needs and requirements of different domains like science, business, social science dissertation etc. Data analysis, in a research supports the researcher to reach to a conclusion. Therefore, simply stating that data analysis is important for a research will be an understatement rather no research can survive without data analysis.

There are many benefits of data analysis however; the most important ones are as follows: - data analysis helps in structuring the findings from different sources of data collection like survey research. It is again very helpful in breaking a macro problem into micro parts. Data analysis acts like a filter when it comes to acquiring meaningful insights out of huge data-set. Every researcher has sort out huge pile of data that he/she has collected, before reaching to a conclusion of the research question. Mere data collection is of no use to the researcher. Data analysis proves to be crucial in this process. It provides a meaningful base to critical decisions. It helps to create a complete dissertation proposal.

One of the most important uses of data analysis is that it helps in keeping human bias away from research conclusion with the help of proper statistical treatment. With the help of data analysis a researcher can filter both qualitative and quantitative data for an assignment writing projects. Thus, it can be said that data analysis is of utmost importance for both the research and the researcher. Or to put it in another words data analysis is as important to a researcher as it is important for a doctor to diagnose the problem of the patient before giving him any treatment.