#data analysis method

Data analysis is a set of methods that are used to interpret data and convert it into useful and required information. Data analysis is used in all kinds of research whether it is a scientific research or a business research. Data analysis is not only the lengthiest but also the most important part of a research. In order to analyze data the foremost requirement is to check the quality of data.

This can be done by different methods like frequency counts, associations, normality and descriptive statistics. At the same time a researcher needs to check the quality of measurement instruments as well. After measuring the quality of both, data and measurement instruments it is important to carry out initial transformations of different variables, as required. A researcher must check that the data sample he is using is correct and in accordance with the research design. In the initial stage of data analysis the researcher is supposed to properly record the initial findings and take corrective action wherever necessary.

In order to conduct initial data analysis a research can choose from many methods like uni-variate statistics, graphical techniques, bootstrapping, continuous variables, correlations, etc. while conducting main data analysis a research has to choose one analysis approach, which can be either exploratory or confirmatory.

The job of a researcher does not end after conducting main data analysis he is then required to check the stability of the results so as to reach to a proper conclusion. These steps can help in conducting data analysis effectively. It is very important to do an effective data analysis research as it is the most important task to do in order to accomplish the research objectives.

Data analysis is the only method that supports the researcher in decision making and reach to a proper conclusion. This process provides with meaningful insight, which is very important to accomplish research objectives. Therefore, it can be said that data analysis is of utmost importance to the researcher.