We can say that “the data analysis and interpretation is a process representing the application of deductive and inductive logic to the research and data analysis.” Why analyze data in research? Marshall and Rossman, on the other hand, describe data analysis as a messy, ambiguous, and time-consuming, but a creative and fascinating process through which a mass of collected data is being brought to order, structure and meaning. Third and the last way is data analysis – researchers do it in both top-down or bottom-up fashion. It helps in finding patterns and themes in the data for easy identification and linking. S ummarization and categorization together contribute to becoming the second known method used for data reduction.
Three essential things take place during the data analysis process - the first data organization.
The data analysis process helps in reducing a large chunk of data into smaller fragments, which makes sense. Considerations in research data analysisĭefinition of research in data analysis: According to LeCompte and Schensul, research data analysis is a process used by researchers for reducing data to a story and interpreting it to derive insights.Methods used for data analysis in quantitative research.Methods used for data analysis in qualitative research.Finding patterns in the qualitative data.
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