Data Processing And Analysis In Research Methodology
S ummarization and categorization together contribute to becoming the second known method used for data reduction.
Data processing and analysis in research methodology. The data analysis process helps in reducing a large chunk of data into smaller fragments which makes sense. Research methodology processing of data jenifer s k. Data analysis involves actions and methods performed on data that help describe facts detect patterns develop explanations and test hypotheses. It is important to note that the process of qualitative data analysis described above is general and different types of qualitative studies may require slightly different methods of data analysis.
Data analysis is defined as a process of cleaning transforming and modeling data to discover useful information for business decision making. Data processing is concerned with editing coding classifying tabulating and charting and diagramming research data. Final year mba srmc 2. Three essential things take place during the data analysis process the first data organization.
According to shamoo and resnik 2003 various analytic procedures provide a way of drawing inductive inferences from data and distinguishing the signal the phenomenon of interest from the noise statistical fluctuations present. The purpose of data analysis is to extract useful information from data and taking the decision based upon the data analysis. Data reduction involves winnowing out the irrelevant from the relevant data and establishing order from chaos and giving shape to a mass of data. Collected data is raw and it must be converted to the form that is suitable for the required analysis.
My e book the ultimate guide to writing a dissertation in business studies. What is data analysis. This includes data quality assurance statistical data analysis modeling and interpretation of. Data analysis is the process of systematically applying statistical and or logical techniques to describe and illustrate condense and recap and evaluate data.
Methods of processing must be rigorously documented to ensure the utility and integrity of the data. The essence of data processing in research is data reduction. Data analysis is a process that relies on methods and techniques to taking raw data mining for insights that are relevant to the business s primary goals and drilling down into this information to transform metrics facts and figures into initiatives for improvement.