Research Scholar,
Data Analysis is the heart of the research process. Often the joy of data analysis prompts the researchers to rush for data analysis, fitting the statistical models to the data. This approach often leads to the process of GIGO (garbage in, garbage out) and the product comes out to be false hits and misses. Before fitting the statistical models to the data, the data ought to be fit for that statistical model, which needs extra efforts on part of the researcher to analyze the data for the preliminary analyses to understand the trends in the data. The present article describes some of those preliminary analyses procedures, so as to use the statistical tool in a fair way and to come with accurate results, avoiding misinterpretation and misuse of the data in the research.
Research Process, Preliminary Data Analysis, Testing Assumptions