Data Analysis Procedures


Data analysis refers to examining all that has been collected in a research study in order to making some deductions and inferences. It involves uncovering underlying structures; extracting important variables, detecting any an unusual behavior in the data and testing any assumptions. The researcher scrutinizes the collected information and makes some inferences. Statistical data analysis divides the methods for analyzing data into two categories: exploratory methods and confirmatory methods, (Kombo and Tromp, 2006). Exploratory methods are used to discover what the data seems to be saying and this is summarized by use of simple mathematical methods and simple representative diagrams. Confirmatory methods use ideas from probability theory to attempt to answer the specific questions. The two methods discussed are mainly applicable in quantitative research. As discussed in the Lecture on Research designs and Methodologies, the methods used in data analysis are influenced by whether the research is qualitative or quantitative or both. But whether both or not, the methods of analysis do not vary significantly

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