Data analysis tools and planning

CHENNAI, India - Sept. 29, 2014 - PRLog -- Data analysis planning is must for a research study before employing any specific tool. The planning in a research study involves comprehensive research work, objectives, requisite data source for collecting information, and the methods to be deployed. If the planning is in toe with research objective, then data analysis becomes easier and facilitates in getting the conclusion. Since the research study involves scores of data, it requires prior planning to manage and for analysis. Usually types of analysis in data are qualitative and quantitative and accordingly the data analysis tools are used. SAS, SPSS, ANOVA, stata are some of the tools prominently used for data analysis.

If the data analysis is for survey, then the methods applicable here are: frequency distributions and descriptive statistics. Other tools like multiple regression, discrimination analysis, factor analysis, cluster analysis, conjoint, and multidimensional are also used in different research context. Data analysis techniques involving statistics helps in studying the data minutely, data comprehension, theory application, and requisite analysis. The techniques used in this regard are:

·         Univariate analysis

·         Bivariate analysis

·         Multivariate analysis.

While using the techniques, the researcher must ensure that assumption and technique should match. Anything related to data analysis, techniques, tools and its usage requires thorough knowledge on the part of a researcher. And it is obvious that all the researchers are not proficient in the application of statistical tools. Hence, it becomes paramount to seek professional help. After all, the data analysis will lead to reaching the conclusion or findings, which in turn could be developed into a dissertation or thesis as per the requirement.

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